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New Jersey Board of Public Utilities

New Jersey Clean Energy Program

Protocols to Measure Resource Savings

DRAFT Revisions toFY2016 Protocols

Date: September 1October 1118, 2017

Release Date: May 31, 2016Board Approval Date: June 29, 2016

New Jersey’s Clean Energy Program Protocols

Table of Contents

Introduction............................................................................................................5Purpose.........................................................................................................................................5Types of Protocols........................................................................................................................6Algorithms....................................................................................................................................8Data and Input Values..................................................................................................................9Baseline Estimates........................................................................................................................9Resource Savings in Current and Future Program Years...........................................................10Prospective Application of the Protocols...................................................................................10Resource Savings.......................................................................................................................10

Electric...................................................................................................................................10Natural Gas...........................................................................................................................11Other Resources.....................................................................................................................12

Adjustments to Energy and Resource Savings...........................................................................12Coincidence with Electric System Peak.................................................................................12Interaction of Energy Savings...............................................................................................12

Calculation of the Value of Resource Savings...........................................................................12Transmission and Distribution System Losses...........................................................................13

Electric Loss Factor..............................................................................................................13Gas Loss Factor.....................................................................................................................13

Calculation of Clean Air Impacts...............................................................................................13Measure Lives............................................................................................................................14Protocols Revision History.........................................................................................................14Protocols for Program Measures................................................................................................14

Residential Electric HVAC..................................................................................15Protocols.....................................................................................................................................15

Central Air Conditioner (A/C) & Air Source Heat Pump (ASHP) & Mini-split (AC or HP)...............................................................................................................................................15Ground Source Heat Pumps (GSHP)....................................................................................16Furnace High Efficiency Fan................................................................................................16Heat Pump Hot Water (HPHW)............................................................................................16

Residential Gas HVAC.........................................................................................21Protocols.....................................................................................................................................21

Furnaces................................................................................................................................21Boilers....................................................................................................................................22Combination Boilers..............................................................................................................23Boiler Reset Controls.............................................................................................................25Storage Water Heaters..........................................................................................................26Instantaneous Water Heaters................................................................................................27

Residential Low Income Program.......................................................................29Protocols.....................................................................................................................................29

Efficient Lighting...................................................................................................................29Hot Water Conservation Measures.......................................................................................29Efficient Refrigerators...........................................................................................................34Air Sealing.............................................................................................................................34Furnace/Boiler Replacement.................................................................................................35Duct Sealing and Repair........................................................................................................35Insulation Upgrades..............................................................................................................35Thermostat Replacement.......................................................................................................35Heating and Cooling Equipment Maintenance Repair/Replacement....................................35Other “Custom” Measures....................................................................................................36

New Jersey’s Clean Energy Program Page Protocols to Measure Resource Savings

Residential New Construction Program.............................................................40Protocols.....................................................................................................................................40

Single-Family, Multi-Single (townhomes), Low-Rise Multifamily........................................40Multifamily High Rise (MFHR).............................................................................................40

ENERGY STAR Energy Efficient Products......................................................41Protocols.....................................................................................................................................41

ENERGY STAR Appliances...................................................................................................41ENERGY STAR Lighting........................................................................................................46

Appliance Recycling Program.............................................................................55Protocols.....................................................................................................................................55

Refrigerator/Freezer Retirement Program............................................................................55Home Performance with ENERGY STAR Program........................................57Commercial and Industrial Energy Efficient Construction.............................58

Protocols.....................................................................................................................................58C&I Electric Protocols...............................................................................................................58

Performance Lighting............................................................................................................58Prescriptive Lighting.............................................................................................................62Refrigerated Case LED Lights...............................................................................................64Specialty LED Fixtures..........................................................................................................66Lighting Controls...................................................................................................................68Electronically Commutated Motors for Refrigeration..........................................................69Electric HVAC Systems..........................................................................................................71Fuel Use Economizers...........................................................................................................75Dual Enthalpy Economizers..................................................................................................76Occupancy Controlled Thermostats......................................................................................77Electric Chillers.....................................................................................................................79Variable Frequency Drives....................................................................................................81New and Retrofit Kitchen Hoods with Variable Frequency Drives......................................84Energy Efficient Glass Doors on Vertical Open Refrigerated Cases....................................87Aluminum Night Covers.........................................................................................................88Walk-in Cooler/Freezer Evaporator Fan Control.................................................................89Cooler and Freezer Door Heater Control.............................................................................91Electric Defrost Control........................................................................................................92Novelty Cooler Shutoff...........................................................................................................93

Food Service Measures Protocols..............................................................................................95Electric and Gas Combination Oven/Steamer.......................................................................95Electric and Gas Convection Ovens, Gas Conveyor and Rack Ovens, Steamers, Fryers, and Griddles.................................................................................................................................99Insulated Food Holding Cabinets........................................................................................104Commercial Dishwashers....................................................................................................105Commercial Refrigerators and Freezers.............................................................................106Commercial Ice Machines...................................................................................................107

C&I Gas Protocols....................................................................................................................109Gas Chillers.........................................................................................................................109Gas Fired Desiccants..........................................................................................................111Gas Booster Water Heaters.................................................................................................112Tank Style (Storage)............................................................................................................113Water Heaters......................................................................................................................113Instantaneous Gas Water Heaters.......................................................................................116Prescriptive Boilers.............................................................................................................118


Prescriptive Furnaces..........................................................................................................120Infrared Heaters..................................................................................................................122Electronic.............................................................................................................................123Fuel Use Economizers.........................................................................................................123

Combined Heat & Power Program...................................................................124Protocols...................................................................................................................................124

Distributed Generation........................................................................................................124Energy Savings Impact........................................................................................................124Emission Reductions............................................................................................................125CHP Emissions Reduction Associated with PJM Grid [2].................................................125

Pay for Performance Program..........................................................................127Protocols...................................................................................................................................127

Direct Install Program.......................................................................................130Protocols...................................................................................................................................130

Electric HVAC Systems........................................................................................................130Variable Frequency Drives..................................................................................................131Refrigeration Measures.......................................................................................................131Gas Water Heating Measures..............................................................................................133Gas Space Heating Measures..............................................................................................133Programmable Thermostats................................................................................................134Boiler Reset Controls...........................................................................................................135Dual Enthalpy Economizers................................................................................................137Electronic Fuel-Use Economizers (Boilers, Furnaces, AC)................................................137Demand-Controlled Ventilation Using CO2 Sensors...........................................................137Low Flow Faucet Aerators, Showerheads, and Pre-rinse Spray Valves.............................138Pipe Insulation.....................................................................................................................142Lighting and Lighting Controls...........................................................................................144

C&I Large Energy Users Incentive Program..................................................146Protocols...................................................................................................................................146

C&I Customer-Tailored Energy Efficiency Pilot Program............................146Protocols...................................................................................................................................146

Renewable Energy Program Protocols.............................................................147SREC Registration Program (SRP)..........................................................................................147

Appendix A Measure Lives...............................................................................148


New Jersey Clean Energy ProgramProtocols to Measure Resource Savings

IntroductionThese protocols have been developed to measure resource savings, including electric energy capacity, natural gas, and other resource savings, and to measure electric energy and capacity from renewable energy and distributed generation systems. Specific protocols for determination of the resource savings or generation from each program are presented for each eligible measure and technology.

These protocols use measured and customer data as input values in industry-accepted algorithms. The data and input values for the algorithms come from the program application forms or from standard values. The standard input values are based on the recent impact evaluations and best available measured or industry data applicable for the New Jersey programs when impact evaluations are not available.

PurposeThese protocols were developed for the purpose of determining energy and resource savings for technologies and measures supported by New Jersey’s Clean Energy Program. The protocols will be updated from time to time to reflect the addition of new programs, modifications to existing programs, and the results of future program evaluations. The protocols will be used consistently statewide to assess program impacts and calculate energy and resource savings to:

1. Report to the Board on program performance

2. Provide inputs for planning and cost-effectiveness calculations

3. Provide information to regulators and program administrators for determining eligibility for administrative performance incentives (to the extent that such incentives are approved by the BPU)

4. Assess the environmental benefits of program implementation

Resource savings to be measured include electric energy (kWh) and capacity (kW) savings, natural gas savings (therms), and savings of other resources (oil, propane, water, and maintenance), where applicable. In turn, these resource savings will be used to determine avoided environmental emissions. The Protocols are also utilized to support preliminary estimates of the electric energy and capacity from renewable energy and distributed generation systems and the associated environmental benefits. Note, however, that renewable energy protocols are different from those required for REC certification in the state of New Jersey.

The protocols in this document focus on the determination of the per unit savings for the energy efficiency measures, and the per unit generation for the renewable energy or distributed generation measures, included in the current programs approved by the Board. The number of adopted units to which these per unit savings or avoided generation apply are captured in the program tracking and reporting process, supported by market assessments for some programs. The unit count will reflect the direct participation and, through market assessments, the number of units due to market effects in comparison to a


baseline level of adoptions. The protocols report gross savings and generation only. Free riders and free drivers are not addressed in these Protocols. Further research in this area is planned.

The outputs of the Protocols are used to support:

Regulatory reporting Cost-effectiveness analysis Program evaluation Performance incentives for the market managers

These Protocols provide the methods to measure per unit savings for program tracking and reporting. An annual evaluation plan prepared by the NJCEP Evaluation ContractorCenter for Energy, Economic and Environmental Policy (CEEEP) outlines the plans for assessing markets including program progress in transforming markets, and to update key assumptions used in the Protocols to assess program energy impacts. Reporting provides formats and definitions to be used to document program expenditures, participation rates, and program impacts, including energy and resource savings. The program tracking systems, that support program evaluation and reporting, will track and record the number of units adopted due to the program, and assist in documenting the resource savings using the per unit savings values in the Protocols. Cost benefit analyses prepared by NJCEP EvaluationContractorsCEEEP and other evaluation contractors assesses the impact of programs, including market effects, and their relationship to costs in a multi-year analysis.

Types of ProtocolsIn general, energy and demand savings will be measured using measured and customer data as input values in algorithms in the protocols, tracking systems, and information from the program application forms, worksheets, and field tools.

The following table summarizes the spectrum of protocols and approaches to be used for measuring energy and resource savings. No one protocol approach will serve all programs and measures.


Summary of Protocols and ApproachesType of Measure

Type of Protocol General Approach Examples

1. Standard prescriptive measures

Standard formula and standard input values

Number of installed units times standard savings/unit

Residential lighting (number of units installed times standard savings/unit)

2. Measures with important variations in one or more input values (e.g., delta watts, efficiency level, capacity, load, etc.)

Standard formula with one or more site-specific input values

Standard formula in the protocols with one or more input values coming from the application form, worksheet, or field tool (e.g., delta watts, efficiency levels, unit capacity, site-specific load)

Some prescriptive lighting measures (delta watts on the application form times standard operating hours in the protocols)Residential Electric HVAC (change in efficiency level times site-specific capacity times standard operating hours)Field screening tools that use site-specific input valuesCustomer On-Site Renewable Energy

3. Custom or site-specific measures, or measures in complex comprehensive jobs

Site-specific analysis

Greater degree of site-specific analysis, either in the number of site-specific input values, or in the use of special engineering algorithms, including building simulation programs

CustomIndustrial processComplex comprehensive jobs (P4P)CHPCustomer-Tailored Pilot

Three or four systems will work together to ensure accurate data on a given measure:

1. The application form that the customer or customer’s agent submits with basic information.

2. Application worksheets and field tools with more detailed site-specific data, input values, and calculations (for some programs).

3. Program tracking systems that compile data and may do some calculations. 4. Protocols that contain algorithms and rely on standard or site-specific input values

based on measured data. Parts or all of the protocols may ultimately be


implemented within the tracking system, the application forms and worksheets, and the field tools.

AlgorithmsThe algorithms that have been developed to calculate the energy and or demand savings are driven by a change in efficiency level for the installed measure compared to a baseline level of efficiency. This change in efficiency is reflected in both demand and energy savings for electric measures and energy savings for gas. Following are the basic algorithms.

Electric Demand Savings = kW = kWbaseline - kWenergy efficient measure

Electric Energy Savings = kW X EFLH

Electric Peak Coincident Demand Savings = kW X Coincidence Factor

Gas Energy Savings = Btuh X EFLH

Where:

EFLH = Equivalent Full Load Hours of operation for the installed measure. Total annual energy use (kWh) of an end use over a range of operating conditions divided by the connected full load of the end use in kW.

Btuh = Btuhbaseline input – Btuhenergy efficient measure input

Other resource savings will be calculated as appropriate.

Specific algorithms for each of the program measures may incorporate additional factors to reflect specific conditions associated with a program or measure. This may include factors to account for coincidence of multiple installations, or interaction between different measures.

When building simulation software programs are used to develop savings estimates for several measures in a comprehensive project, as in the Pay for Performance Program, the specific algorithms used are inherent in the software and account for interaction among measures by design. Detailed Simulation Guidelines have been developed for the Pay for Performance Program and are included in the Pay for Performance Program Guidelines. These Guidelines should be followed when building simulation is used to develop savings estimates. As stated in the Guidelines, simulation software must be compliant with ASHRAE 90.1 2004 Section 11 or Appendix G.


Data and Input ValuesThe input values and algorithms in the protocols and on the program application forms are based on the best available and applicable data for the New Jersey programs. The input values for the algorithms come from the program application forms or from standard values based on measured or industry data.

Many input values, including site-specific data, come directly from the program application forms, worksheets, and field tools. Site-specific data on the application forms are used for measures with important variations in one or more input values (e.g., delta watts, efficiency level, capacity, etc.).

Standard input values are based on the best available measured or industry data, including metered data, measured data from prior evaluations (applied prospectively), field data and program results, and standards from industry associations. The standard values for most commercial and industrial measures are based on recent impact evaluations of New Jersey Programs.

For the standard input assumptions for which metered or measured data were not available, the input values (e.g., delta watts, delta efficiency, equipment capacity, operating hours, coincidence factors) were based on the best available industry data or standards. These input values were based on a review of literature from various industry organizations, equipment manufacturers, and suppliers.

For larger, comprehensive projects, as in the Pay for-Performance Program, measurement and verification (M&V) protocols are followed to better estimate site-specific energy use for the pre- and post-retrofit conditions. Guidelines for developing an M&V plan and protocols to follow for conducting M&V are included in the Pay for Performance Program Guidelines, available on the NJ Office of Clean Energy website at www.njcleanenergy.com. These guidelines and protocols should be followed when M&V is conducted to determine energy use for either the pre- or post-retrofit period.

Program evaluation will be used to assess key data and input values to either confirm that current values should continue to be used or update the values going forward.

Baseline EstimatesFor most efficiency programs and measures, the kW, kWh, and gas energy savings values are based on the energy use of standard new products vs. the high efficiency products promoted through the programs. The approach used for the new programs encourages residential and business consumers to purchase and install high efficiency equipment vs. new standard efficiency equipment. The baseline estimates used in the protocols are documented in the baseline studies or other market information. Baselines will be updated to reflect changing codes, practices and market transformation effects.

For the Direct Install and Low Income programs, some kW, kWh, and gas energy savings values are based on high efficiency equipment versus existing equipment, where the programs specifically target early retirement or upgrades that would not otherwise occur. Protocols for the Direct Install Program include degradation tables to calculate the efficiency of the replaced unit.


The Pay for Performance Program is a comprehensive program that requires participants to implement energy efficiency improvements that will achieve a minimum of 15% reduction in total source energy consumption. Due to the building simulation and measurement and verification (M&V) requirements associated with this Program, the baseline is the existing energy consumption of the facility, as reported through the U.S. EPA’s Portfolio Manager benchmarking software.

Renewable energy and distributed generation program protocols assume that any electric energy or capacity produced by a renewable energy or distributed generation system displaces electric energy and capacity from the PJM grid.

Resource Savings in Current and Future Program YearsThe Protocols support tracking and reporting the following categories of energy and resource savings:

1. Savings or generation from installations that were completed in the program year and prior program years due to the program’s direct participation and documented market effects.

2. Savings or generation from program participant future adoptions due to program commitments.

3. Savings or generation from future adoptions due to market effects.

Prospective Application of the ProtocolsThe protocols will be applied prospectively. The input values are from the program application forms and standard input values (based on measured data including metered data and evaluation results). The protocols will be updated periodically based on evaluation results and available data, and then applied prospectively for future program years.

Resource Savings

Electric

Protocols have been developed to determine the electric energy and coincident peak demand savings.

Annual Electric energy savings are calculated and then allocated separately by season (summer and winter) and time of day (on-peak and off-peak). Summer coincident peak demand savings are calculated using a demand savings protocol for each measure that includes a coincidence factor. Application of this coincidence factor converts the demand savings of the measure, which may not occur at time of system peak, to demand savings that is expected to occur during the Summer On-Peak period. These periods for energy savings and coincident peak demand savings are defined as:


Energy Savings Coincident Peak Demand Savings

Summer May through September June through AugustWinter October through April N/ANAOn Peak (Monday - Friday)

8:00 a.m. to 8:00 p.m. 12:00 p.m. to 8:00 p.m.

Off Peak M-F 8:00 p.m. to 8:00 a.m.All day weekends and holidays

NA

The time periods for energy savings and coincident peak demand savings were chosen to best fit the seasonal avoided cost patterns for electric energy and capacity that were used for the energy efficiency program cost effectiveness purposes. For energy, the summer period May through September was selected based on the pattern of avoided costs for energy at the PJM level. In order to keep the complexity of the process for calculating energy savings benefits to a reasonable level by using two time periods, the knee periods for spring and fall were split approximately evenly between the summer and winter periods.

For capacity, the summer period June through August was selected to match the highest avoided costs time period for capacity. The experience in PJM and New Jersey has been that nearly all system peak events occur during these three months. Coincidence factors are used to calculate energy efficiency factors on peak demand. Renewable energy and distributed generation systems are assumed to be operating coincident with the PJM system peak. This assumption will be assessed in the impact evaluation.

Natural Gas

Protocols have been developed to determine the natural gas energy savings on a seasonal basis. The seasonal periods are defined as:

Summer – April through SeptemberWinter – October through March

The time periods for gas savings were chosen to best fit the seasonal avoided gas cost pattern that was used for calculating energy efficiency program benefits for cost effectiveness purposes. However, given the changing seasonal cost patterns for gas supply, different time periods may be more appropriate to reflect a current outlook for the seasonal pattern, if any, at the time that the avoided cost benefits are calculated. The seasonal factors used in the following protocols that correspond to the above time periods reflect either base load or heating load usage. In the case of base load, one twelfth of the annual use is allocated to each month. In the case of heating load, the usage is prorated to each month based on the number of normal degree-days in each month. This approach makes it relatively easy to calculate new seasonal factors to best match different avoided cost patterns.


Other ResourcesSome of the energy savings measures also result in environmental benefits and the saving of other resources. Environmental impacts are quantified based on statewide conversion factors supplied by the NJDEP for electric, gas and oil energy savings. Where identifiable and quantifiable these other key resource savings, such as oil, will be estimated. Oil and propane savings are the major resources that have been identified. If other resources are significantly impacted, they will be included in the resource savings estimates.

Post-Implementation ReviewProgram administrators will review application forms and tracking systems for all measures and conduct field inspections on a sample of installations. For some programs and jobs (e.g., custom, large process, large and complex comprehensive design), post-installation review and on-site verification of a sample of application forms and installations will be used to ensure the reliability of site-specific savings estimates.

Adjustments to Energy and Resource SavingsCoincidence with Electric System PeakCoincidence factors are used to reflect the portion of the connected load savings or generation that is coincident with the electric system peak.

Measure Retention and Persistence of SavingsThe combined effect of measure retention and persistence is the ability of installed measures to maintain the initial level of energy savings or generation over the measure life. Measure retention and persistence effects were accounted for in the metered data that were based on C&I installations over an eight-year period. As a result, some protocols incorporate retention and persistence effects in the other input values. For other measures, if the measure is subject to a reduction in savings or generation over time, the reduction in retention or persistence is accounted for using factors in the calculation of resource savings (e.g., in-service rates for residential lighting measures, degradation of photovoltaic systems).

Interaction of Energy Savings

Interaction of energy savings is accounted for in certain programs as appropriate. For all other programs and measures, interaction of energy savings is zero.

For the Residential New Construction program, the interaction of energy savings is accounted for in the home energy rating tool that compares the efficient building to the baseline or reference building and calculates savings.

For the Residential and Commercial and Industrial Efficient Construction program, the energy savings for lighting is increased by an amount specified in the protocol to account for HVAC interaction.

For commercial and industrial custom measures, interaction where relevant is accounted for in the site-specific analysis. In the Pay for Performance Program, interaction is addressed by the building simulation software program.


Calculation of the Value of Resource SavingsThe calculation of the value of the resources saved is not part of the protocols. The protocols are limited to the determination of the per unit resource savings in physical terms.

In order to calculate the value of the energy savings for reporting and other purposes, the energy savings are determined at the customer level and then increased by the amount of the transmission and distribution losses to reflect the energy savings at the system level. The energy savings at the system level are then multiplied by the appropriate avoided costs to calculate the value of the benefits.

System Savings = (Savings at Customer) x (T&D Loss Factor)Value of Resource Savings = (System Savings) x (System Avoided Costs + Environmental Adder) + (Value of Other Resource Savings)

The value of the benefits for a particular measure will also include the value of the water, oil, maintenance and other resource savings where appropriate. Maintenance savings will be estimated in annual dollars levelized over the life of the measure.

Transmission and Distribution System LossesThe protocols calculate the energy savings at the customer level. These savings need to be increased by the amount of transmission and distribution system losses in order to determine the energy savings at the system level. The following loss factors multiplied by the savings calculated from the protocols will result in savings at the supply level.

Electric Loss FactorThe electric loss factor applied to savings at the customer meter is 1.0811,2076 for both energy and demand. The electric system loss factor was developed to be applicable to statewide programs. Therefore, average system losses at the margin based on a 10 year (2001 to 2010) average of the New Jersey state electricity supply and disposition dataset from the U.S. Energy Information Administration (EIA).

Gas Loss Factor

The gas loss factor is 1.0. The gas system does not have losses in the same sense that the electric system does. All of the gas gets from the “city gate” (delivery point to the distribution system) to the point of use except for unaccounted for gas (such as theft), gas lost due to system leakage or loss of gas that is purged when necessary to make system repairs. Since none of these types of “losses” is affected by a decrease in gas use due to energy efficiency at the customer, there are no losses for which to make any adjustment. Therefore, a system loss factor of 1.0 is appropriate for gas energy efficiency savings.

These electric and gas loss factors reflect losses at the margin and are a consensus of the electric and gas utilities.

1 JPC&L, Summary of reconciliation factors January 1, 2017 – December 31, 2017.2 PSE&G Rate Class & Loss Factor Information


Calculation of Clean Air ImpactsThe amount of air emission reductions resulting from the energy savings are calculated using the energy savings at the system level and multiplying them by factors developed by the New Jersey Department of Environmental Protection (NJDEP).

System average air emissions reduction factors provided by the NJDEP are:

Electric Emissions FactorsEmissionsProduct Jan 2001–June 2002

July 2003–February 2014 March 2014–Present

CO2 1.1 lbs per kWh saved

1,520 lbs per MWh saved

1,111.79 lbs per MWh saved

NOX 6.42 lbs per metric ton of CO2 saved

2.8 lbs per MWh saved


SO2 10.26 lbs per metric ton of CO2 saved



Hg 0.00005 lbs per metric ton of CO2 saved


2.11 mg per MWh saved

Gas Emissions FactorsEmissionsProduct

Jan 2001–June 2002 July 2003–Present

CO2 NA 11.7 lbs per therm saved

NOX NA 0.0092 lbs per therm saved

All factors are provided by the NJ Department of Environmental Protection and and are on an average system basis. They will be updated as new factors become available.

Measure LivesMeasure lives are provided in Appendix A for informational purposes and for use in other applications such as reporting lifetime savings or in benefit cost studies that span more than one year. The Pay for Performance Program uses the measure lives as included in Appendix A to determine measure-level and project-level cost effectiveness.

Protocols Revision History


Revision History of Protocols

Date Issued Reviewer CommentsOctober 2017 ERS See ERS Memo, NJCEP Protocols -

Comparative Measure Life Study and Summary of Measure Changes to NJCEP Protocols, September 5, 2017. Updated October 16, 2017.

Protocols for Program MeasuresThe following pages present measure or project-specific protocols. In those instances where measures are applicable to more than one program, the measures apply to all such programs unless otherwise specified.


Residential Electric HVAC

ProtocolsThe measurement plan for residential high efficiency cooling and heating equipment is based on algorithms that determine a central air conditioners or heat pump’s cooling/heating energy use and peak demand. Input data is based both on fixed assumptions and data supplied from the high efficiency equipment rebate application form. The algorithms also include the calculation of additional energy and demand savings due to the required proper sizing of high efficiency units.

The savings will be allocated to summer/winter and on-peak/off-peak time periods based on load shapes from measured data and industry sources. The allocation factors are documented below in the input value table.

The protocols applicable for this program measure the energy savings directly related to the more efficient hardware installation. Estimates of energy savings due to the proper sizing of the equipment are also included.

The following is an explanation of the algorithms used and the nature and source of all required input data.

Algorithms

Central Air Conditioner (A/C) & Air Source Heat Pump (ASHP)Cooling Energy Consumption and Peak Demand Savings – Central A/C & ASHP (High Efficiency Equipment Only)

Energy Impact (kWh) = CAPY/1000 X (1/SEERb – 1/SEERq ) X EFLHc

Peak Demand Impact (kW) = CAPY/1000 X (1/EERb – 1/EERq ) X CF

Heating Energy Savings – ASHP

Energy Impact (kWh) = CAPY/1000 X (1/HSPFb - 1/HSPFq ) X EFLHh

Cooling Energy Savings for Proper Sizing and QIVkWh p = kWh q * ESF

Cooling Demand Savings for Proper Sizing and QIV

kWp = kWq* DSF


Cooling Energy Consumption and Demand Savings – Central A/C & ASHP (During Existing System Maintenance)

Energy Impact (kWh) = ((CAPY/(1000 X SEERm)) X EFLHc) X MF

Peak Demand Impact (kW) =((CAPY/(1000 X EERm)) X CF) X MF

Cooling Energy Consumption and Demand Savings– Central A/C & ASHP (Duct Sealing)

Energy Impact (kWh) = (CAPY/ (1000 X SEERq)) X EFLHc X DuctSF

Peak Demand Impact (kW) = ((CAPY/ (1000 X EERq)) X CF) X DuctSF

Ground Source Heat Pumps (GSHP)Cooling Energy (kWh) Savings = CAPY/1000 X (1/(EERg,b X GSER) – (1/ (EERg X GSER))) X EFLHc

Heating Energy (kWh) Savings = CAPY/1000 X (1/(COPg,b X GSOP) – (1/ (COPg X GSOP))) X EFLHh

Peak Demand Impact (kW) = CAPY/1000 X (1/EERg,b – (1/ (EERg X GSPK))) X CF

GSHP DesuperheaterEnergy (kWh) Savings = EDSH

Peak Demand Impact (kW) = PDSH

Furnace High Efficiency FanHeating Energy (kWh) Savings = ((CAPYq X EFLHHT)/100,000 BTU/therm)

X FFSHT

Cooling Energy (kWh) Savings = FFSCL

Solar Domestic Hot Water (augmenting electric resistance DHW)

Heating Energy (kWh) Savings = ESavSDHW

Peak Demand Impact (kW) = DSavSDHW x CFSDHW

Heat Pump Hot Water (HPHW)


Heating Energy (kWh) Savings = ESavHPHW

Peak Demand Impact (kW) = DSavHPHW x CFHPHW

Drain Water Heat Recovery (DWHR)

Heating Energy (kWh) Savings = ESavDWHR

Peak Demand Impact (kW) = DSavDWHR x CFDWHR

Definition of Terms

CAPY = The cooling capacity (output) of the central air conditioner or heat pump being installed. This data is obtained from the Application Form based on the model number.

SEERb = The Seasonal Energy Efficiency Ratio of the Baseline Unit.

SEERq = The Seasonal Energy Efficiency Ratio of the qualifying unit being installed. This data is obtained from the Application Form based on the model number.

SEERm = The Seasonal Energy Efficiency Ratio of the Unit receiving maintenance

EERb = The Energy Efficiency Ratio of the Baseline Unit.

EERq = The Energy Efficiency Ratio of the unit being installed. This data is obtained from the Application Form based on the model number.

EERg = The EER of the ground source heat pump being installed. Note that EERs of GSHPs are measured differently than EERs of air source heat pumps (focusing on entering water temperatures rather than ambient air temperatures). The equivalent SEER of a GSHP can be estimated by multiplying EERg by 1.02.

EERg,b = The EER of a baseline ground source heat pump

GSER = The factor to determine the SEER of a GSHP based on its EER.

EFLH = The Equivalent Full Load Hours of operation for the average unit.

ESF = The Energy Savings Factor or the assumed saving due to proper sizing and proper installation.

MF = The Maintenance Factor or assumed savings due to completing recommended maintenance on installed cooling equipment.

DuctSF = The Duct Sealing Factor or the assumed savings due to proper sealing of all cooling ducts


CF = The coincidence factor which equates the installed unit’s connected load to its demand at time of system peak.

DSF = The Demand Savings Factor or the assumed peak demand capacity saved due to proper sizing and proper installation.

HSPFb = The Heating Seasonal Performance Factor of the Baseline Unit.

HSPFq = The Heating Seasonal Performance Factor of the unit being installed. This data is obtained from the Application Form.

COPg = Coefficient of Performance of a GSHP

COPg,b = Baseline Coefficient of Performance of a GSHP

GSOP = The factor to determine the HSPF of a GSHP based on its COP.

GSPK = The factor to convert EERg to the equivalent EER of an air conditioner to enable comparisons to the baseline unit.

EDSH = Assumed savings per desuperheater.

PDSH = Assumed peak demand savings per desuperheater.

ESavSDHW = Assumed energy savings per installed solar domestic hot water system with electric resistance heater backup.

DSavSDHW = Assumed demand savings per installed solar domestic hot water system with electric resistance heater backup.

CAPYYq = Output capacity of the qualifying heating unit in BTUs/hour

EFLHHT = The Equivalent Full Load Hours of operation for the average heating unit

FFSHT = Furnace fan savings (heating mode)

FFSCL = Furnace fan savings (cooling mode)

kWhp = Annual kWh due to proper sizing

kWhq = Annual kWh usage post-program

kWp = Annual kW due to proper sizing

kWq = Annual kW usage post-program


ESavHPHW = Assumed energy savings per installed heat pump water heater.

DSavHPHW = Assumed demand savings per installed heat pump water heater.

ESavDWHR = Assumed energy savings per installed drain water heat recovery unit in a household with an electric water heater.

DSavDWHR = Assumed demand savings per installed drain water heat recovery unit in a household with an electric water heater.

The 1000 used in the denominator is used to convert watts to kilowatts.

A summary of the input values and their data sources follows:

Residential Electric HVAC

Sources:[1.] a Survey of New Jersey HVAC equipment distributors, CLEAResult, March 2016

b Federal Register, 76 FR 37408, June 27, 2011

[2.] Average EER for SEER 13 units.[3.] VEIC estimate. VEIC estimate. Consistent with analysis of PEPCo and LIPA,

and conservative relative to ARI.[4.] Xenergy, “New Jersey Residential HVAC Baseline Study”, (Xenergy,

Washington, D.C., November 16, 2001). [5.] NEEP, Mid-Atlantic Technical Reference Manual, May 2010.[6.] Xenergy, “New Jersey Residential HVAC Baseline Study”, (Xenergy,

Washington, D.C., November 16, 2001)[7.] Federal Register, Vol. 66, No. 14, Monday, January 22, 2001/Rules and

Regulations, p. 7170-7200. [8.] Engineering calculation, HSPF/COP=3.413

[9.] VEIC Estimate. Extrapolation of manufacturer data.[10.] VEIC estimate, based on PEPCo assumptions.[11.] VEIC estimate, based on PEPCo assumptions.

[12.] Time period allocation factors used in cost-effectiveness analysis.[13.] Northeast Energy Efficiency Partnerships, Inc., “Benefits of HVAC Contractor

Training”, (February 2006): Appendix C Benefits of HVAC Contractor Training: Field Research Results 03-STAC-01

[14.] Minimum Federal Standard for new Central Air Conditioners between 1990 and 2006

[15.] NJ utility analysis of heating customers, annual gas heating usage[16.] Scott Pigg (Energy Center of Wisconsin), “Electricity Use by New Furnaces: A

Wisconsin Field Study”, Technical Report 230-1, October 2003.


[17.] Ibid., p. 34. ARI charts suggest there are about 20% more full load cooling hours in NJ than southern WI. Thus, average cooling savings in NJ are estimated at 95 to 115

[18.] The same EER to SEER ratio used for SEER 13 units applied to SEER 10 units. EERm = (11.3/13) * 10

VEIC estimate. Conservatively assumes less savings than for QIV because of the retrofit context


1. Energy savings are estimated based on 2008 SRCC OG300 ratings for a typical 2 panel system with solar storage tank in Newark, NJ with electric DHW backup. Demand savings are estimated based on an estimated electric DHW demand of 2.13kW with 20% CF. Load shape and coincidence factors were developed by VEIC from ASHRAE Standard 90.2 Hot Water Draw Profile and NREL Red Book insulation data for Newark, NJ.

[19.] KEMA, NJ Clean Energy Program Energy Impact Evaluation Protocol Review. 2009.

[20.] Table 1. (Page 2) From “Heat Pump Water Heaters Evaluation of Field Installed Performance.” Steven Winter Associates, Inc. (2012). http://www.ma-eeac.org/Docs/8.1_EMV%20Page/2012/2012%20Residential%20Studies/MA%20RR&LI%20-%202011%20HPWH%20Field%20Evaluation%20Report%20FINAL%206_26_2012.pdf

[21.] VEIC Estimate based upon range derived from FEMP Federal Technology Alert: S9508031.3a (http://www1.eere.energy.gov/femp/pdfs/FTA_res_heat_pump.pdf)

[22.] “Electrical Use, Efficiency, and Peak Demand of Electric Resistance, Heat Pump, Desuperheater, and Solar Hot Water Systems”, http://www.fsec.ucf.edu/en/publications/html/FSEC-PF-215-90/

[23.] 30% savings (from Zaloum, C. Lafrance, M. Gusdorf, J. “Drain Water Heat Recovery Characterization and Modeling” Natural Resources Canada. 2007. Savings vary due to a number of factors including make, model, installation-type, and household behaviors.) multiplied by standard electric resistance water heating baseline annual usage of 4,857 kWh cited in source #23 above.

[24.] Demand savings are estimated based on electric DHW demand of 2.13kW and 20% CF as in cited source #21 adjusting for the proportional difference of 30% savings relative to the 70% solar fraction: 0.426*0.3/0.9 = 0.142.

AHRI directory. Baseline values are the least efficient “Geothermal – Water-to –Air Heat Pumps” active in the

directory, downloaded May 18, 2015.

[25.] Combined space and water heating (Combo)[26.] [27.] Participants installing a qualifying boiler or furnace and a qualifying water

heater at the same time earn a special incentive. For savings calculations, there is no special consideration. The heating system savings are calculated according to the appropriate algorithm and the water heating savings are calculated separately according to the system type.

[28.] Residential Electric HVAC

2. Protocols3. The measurement plan for residential high efficiency cooling and heating

equipment is based on algorithms that determine a central air conditioners or heat


http://www.fsec.ucf.edu/en/publications/html/FSEC-PF-215-90/

http://www1.eere.energy.gov/femp/pdfs/FTA_res_heat_pump.pdf

pump’s cooling/heating energy use and peak demand. Input data is based both on fixed assumptions and data supplied from the high efficiency equipment rebate application form. The algorithms also include the calculation of additional energy and demand savings due to the required proper sizing of high efficiency units.

4. The savings will be allocated to summer/winter and on-peak/off-peak time periods based on load shapes from measured data and industry sources. The allocation factors are documented below in the input value table.

The protocols applicable for this program measure the energy savings directly related to the more efficient hardware installation. Estimates of energy savings due to the proper sizing of the equipment are also included.

5. The following is an explanation of the algorithms used and the nature and source of all required input data.

6. Central Air Conditioner (A/C) & Air Source Heat Pump (ASHP) & Mini-split (AC or HP)

7.8.[29.] Algorithms9. 10. Cooling Energy and Peak Demand Savings:11. 12. Energy Savings (kWh/yr) = Tons * 12 kBtuh/Ton * (1/SEERb – 1/SEERq ) *

EFLHc 13.

14. Peak Demand Savings (kW) = Tons * 12 kBtuh/Ton * (1/EERb – 1/EERq ) * CF 15. 16. Heating Energy Savings (ASHP and Mini-Split):17. 18. Energy Savings (kWh/yr) = Tons * 12 kBtuh/Ton * (1/HSPFb - 1/HSPFq ) *

EFLHh 19. 20. Proper Sizing and Quality Installation Verification (QIV):21. 22. Energy Savings (kWhp/yr) = kWhq * ESF23. 24. Energy Savings (kWp/yr) = kWq* DSF25.


26.[30.] During Existing System Maintenance:27.28.[31.] Energy Savings (kWh/yr) = (Tons * 12 kBtuh/Ton * SEERm) * EFLHc * MF29. 30. Peak Demand Savings (kW) =(Tons * 12 kBtuh/Ton * EERm) * CF * MF31. 32. Duct Sealing:33. 34. Energy Savings (kWh/yr) = (Tons * 12 kBtuh/Ton * SEERq) * EFLHc * DuctSF35.36.[32.] Peak Demand Savings (kW) = (Tons * 12 kBtuh/Ton * EERq) * CF *

DuctSF

37. Ground Source Heat Pumps (GSHP)38. 39. Algorithms40.41.[33.] Energy Savings (kWh/yr) = Tons * 12 kBtuh/Ton * (1/(EERg,b * GSER) – (1/ (EERg,q * GSER))) * EFLHc 42. 43. Peak Demand Savings (kW) = Tons * 12 kBtuh/Ton * (1/EERg,b – (1/ (EERg,q * GSPK))) * CF 44.

45. Heating Energy Savings (kWh/yr) = Tons * 12 kBtuh/Ton * (1/(COPg,b * GSOP) – (1/ (COPg,q * GSOP))) * EFLHh

46. GSHP Desuperheater [Inactive 2017, Not Reviewed]47.[34.] Energy (kWh) Savings = EDSH

48.49.[35.] Peak Demand Impact (kW) = PDSH 50.

[36.] Furnace High Efficiency Fan51.52.[37.] Algorithms53.54.[38.] Heating Energy Savings (kWh/yr) = (BtuHq /3.412 kWh/Btu) * EFLH * FFSHT

55. 56. Cooling Energy Savings (kWh/yr) = FFSCL

57.

58. Solar Domestic Hot Water (augmenting electric resistance DHW) [Inactive 2017, Not Reviewed]

59. 60. Heating Energy (kWh) Savings = ESavSDHW


61. 62. Peak Demand Impact (kW) = DSavSDHW x CFSDHW

63.

64. Heat Pump Hot Water (HPHW)65.66.[39.] Algorithms67.68.[40.] Heating Energy Savings (kWh/yr) = ESavHPHW

69.70.[41.] Peak Demand Savings (kW) = DSavHPHW * CFHPHW

71. Drain Water Heat Recovery (DWHR) [Inactive 2017, Not Reviewed]72.[42.] 73.[43.] Heating Energy (kWh) Savings = ESavDWHR

74.75.[44.] Peak Demand Impact (kW) = DSavDWHR x CFDWHR

76.

[45.] 77.[46.] Definition of Terms78. Tons = The rated cooling capacity of the unit being installed. This data is obtained

from the Application Form based on the model number.79. SEERb = The Seasonal Energy Efficiency Ratio of the Baseline Unit.80. SEERq = The Seasonal Energy Efficiency Ratio of the qualifying unit being

installed. This data is obtained from the Application Form based on the model number.

81. SEERm = The Seasonal Energy Efficiency Ratio of the Unit receiving maintenance

82. EERm = The Energy Efficiency Ratio of the Unit receiving maintenance83. EERb = The Energy Efficiency Ratio of the Baseline Unit.84. EERq = The Energy Efficiency Ratio of the unit being installed. This data is

obtained from the Application Form based on the model number.85. EERg,q = The EER of the ground source heat pump being installed. Note that

EERs of GSHPs are measured differently than EERs of air source heat pumps (focusing on entering water temperatures rather than ambient air temperatures). The equivalent SEER of a GSHP can be estimated by multiplying EERg by 1.02.

86. EERg,b = The EER of a baseline ground source heat pump87. GSER = The factor to determine the SEER of a GSHP based on its EER.

88. EFLH = The Equivalent Full Load Hours of operation for the average unit (cooling or heating)

89. ESF = The Energy Savings Factor or the assumed saving due to proper sizing and proper installation.


90. MF = The Maintenance Factor or assumed savings due to completing recommended maintenance on installed cooling equipment.

91. DuctSF = The Duct Sealing Factor or the assumed savings due to proper sealing of all cooling ducts

92. CF = The coincidence factor which equates the installed unit’s connected load to its demand at time of system peak.

93. DSF = The Demand Savings Factor or the assumed peak demand capacity saved due to proper sizing and proper installation.

94. HSPFb = The Heating Seasonal Performance Factor of the Baseline Unit.95. HSPFq = The Heating Seasonal Performance Factor of the unit being installed.

This data is obtained from the Application Form.96. COPg,q = Coefficient of Performance of a GSHP97. COPg,b = Baseline Coefficient of Performance of a GSHP

98. GSOP = The factor to determine the HSPF of a GSHP based on its COP.

99. GSPK = The factor to convert EERg to the equivalent EER of an air conditioner to enable comparisons to the baseline unit. 100. EDSH = Assumed savings per desuperheater. 101. PDSH = Assumed peak demand savings per desuperheater. 102. ESavSDHW = Assumed energy savings per installed solar domestic hot water system with electric resistance heater backup. 103. DSavSDHW = Assumed demand savings per installed solar domestic hot water system with electric resistance heater backup.

104. BtuHq = Output capacity of the qualifying heating unit in BTUs/hour105. EFLHHT = The Equivalent Full Load Hours of operation for the average

heating unit106. FFSHT = Furnace fan savings (heating mode)107. FFSCL = Furnace fan savings (cooling mode)108. kWhp = Annual kWh due to proper sizing109. kWhq = Annual kWh usage post-program110. kWp = Annual kW due to proper sizing111. kWq = Annual kW usage post-program

112. ESavHPHW = Assumed energy savings per installed heat pump water heater. 113. DSavHPHW = Assumed demand savings per installed heat pump water heater.114. ESavDWHR = Assumed energy savings per installed drain water heat recovery unit in a household with an electric water heater.115. DSavDWHR = Assumed demand savings per installed drain water heat recovery unit in a household with an electric water heater.

116.[47.] Summary of Inputs 117.

118.[48.] Residential Electric HVAC


119. Component

120. Type

121. Value 122. Source

123. Tons 124. Variable

125. Rated Capacity, Tons 126. Rebate Application

127. SEERb 128. Fixed

129. Split Systems (A/C) = 13

130. Split Systems (HP) = 14

131. Single Package (A/C) = 14

132. Single Package (HP) = 14

133. 1

134. SEERq 135. Variable

136.[49.] 137.[50.] Rebate

Application138. SEERm 139. Fix

ed140. 13 141. 1

142. EERb 143. Fixed

144. Baseline = 11.3 145. 2

146. EERq 147. Fixed

148. = (11.3/13) X SEERq

149. 2

150. EERg,q 151. Variable

152. 153. Rebate Application

154. EERg,b 155. Fixed

156. 11.2 157. 13

158. EERm 159. Fixed

160. 8.69 161. 2

162. GSER 163. Fixed

164. 1.02 165. 3

166. EFLHc or h 167. Fixed

168. Cooling = 501 Hours

[51.] Heating = 727 HoursSee Table Below

169. 123

170. ESF 171. Fixed

172. 9.2% 173. 12

174. DSF 175. Fixed

176. 9.2% 177. 12

178. kWhq 179. Variable

180.[52.] 181.[53.] Rebate

Application

3 From NY TRM 2016, for NYC due to proximity to NJ; for single family detached


119. Component

120. Type


182. kWq 183. Variable

184.[54.] 185.[55.] Rebate

Application186. MF 187. Fix

ed188. 10% 189. 11

190. DuctSF 191. Fixed

192. 18% 193. 8

194. CF 195. Fixed

196. 69% 197. 4

198. DSF 199. Fixed

200. 2.9% 201. 5

202. HSPFb 203. Fixed

204. Split Systems (HP) = 8.2

205. Single Package (HP) = 8.0

206. 1

207. HSPFq 208. Variable

209.[56.] 210.[57.] Rebate

Application211. COPg,q 212. Va

riable213. 214. Rebate

Application215. COPg,b 216. Fix

ed217. 2.9 218. 13

219. GSOP 220. Fixed

221. 3.413 222. 6

223. GSPK 224. Fixed

225. 0.8416 226. 3

227. EDSH 228.[58.] Fixed

229.[59.] 1842 kWh [60.] 1114

230.[61.] PDSH 231.[62.] Fixed

232.[63.] 0.34 kW [64.] 1214

233.[65.] ESavSDHW

234.[66.] Fixed

235.[67.] 3100 kWh [68.] 2116

236.[69.] DSavSDHW

237.[70.] Fixed

238.[71.] 0.426 kW [72.] 2116


119. Component

120. Type


239.[73.] CFSDHW 240.[74.] Fixed

241.[75.] 20% [76.] 2116

242.[77.] ESavHPHW

243.[78.] Fixed

244.[79.] 1687 kWh [80.] 2317

245.[81.] DSavHPHW

246.[82.] Fixed

247.[83.] 0.37 kW [84.] 2418

248.[85.] CFHPHW 249.[86.] Fixed

250.[87.] 70% [88.] 2418

251.[89.] ESavDWHR

252.[90.] Fixed

253.[91.] 1457 kWh [92.] 2620, 2317

254.[93.] DSavDWHR

255.[94.] Fixed

256.[95.] 0.142 kW [96.] 2721

257.[97.] CFDWHR

258.[98.] Fixed

259.[99.] 20% [100.] 2721

260.[101.] Cooling – CAC

261. Time Period

Allocation Factors

262. Fixed

263. Summer/On-Peak 64.9%

264. Summer/Off-Peak 35.1%

265. Winter/On-Peak 0%266. Winter/Off-Peak

0%

267. 7

268. Cooling – ASHP

269. Time Period

Allocation Factors

270. Fixed




0%

275. 7

276. Cooling – GSHP

277. Time Period

Allocation Factors

278. Fixed




0%

283. 7


119. Component

120. Type


284. Heating – ASHP &

GSHP285. Time

Period Allocation

Factors

286. Fixed



289. Winter/On-Peak 47.9%

290. Winter/Off-Peak 52.1%

291. 7

292. GSHP Desuperheat

er Time Period

Allocation Factors

293.[102.] Fixed

294.[103.] Summer/On-Peak 4.5%

295.[104.] Summer/Off-Peak 4.2%

296.[105.] Winter/On-Peak 43.7%

297.[106.] Winter/Off-Peak 47.6%

[107.] 1315

298.[108.] SDHW Time Period

Allocation Factors

299.[109.] Fixed

300.[110.] Summer/On-Peak 27.0%


302.[112.] Winter/On-Peak 42.0%


[114.] 2116

304.[115.] HPWH Time Period

Allocation Factors

305.[116.] Fixed

306.[117.] Summer/On-Peak 21%

307.[118.] Summer/Off-Peak 22%

308.[119.] Winter/On-Peak 28%

309.[120.] Winter/Off-Peak 29%

[121.] 2519

310.[122.] DWHR Time Period

Allocation Factors

311.[123.] Fixed

312.[124.] Summer/On-Peak 27.0%


314.[126.] Winter/On-Peak 42.0%


[128.] 2116

316.[129.] EFLHHT

317. Fixed

318. 727 hoursSee Table Below

319. 123


119. Component

120. Type


320. FFSHT 321. Fixed

322. 0.5 kWh 323. 9

324. FFSCL 325. Fixed

326. 105 kWh 327. 10

328. 329. EFLH Table

330. Single Family

Detached

331. Heating

EFLH

332. Cooling

EFLH

333. Old 334. 867 335. 670

336. Average 337. 786 338. 64

9

339. New 340. 725 341. 630

342. 343. Sources

344. US Government Publishing Office, June 2017, Electronic Code of Federal Regulations – Title 10, Chapter II, Subchapter D, Part 430, Subpart C, §430.32. Available at: https://www.ecfr.gov/cgi-bin/text-idx?SID=2942a69a6328c23266612378a0725e60&mc=true&node=se10.3.430_132&rgn=div8.

345. Average EER for SEER 13 units. The same EER to SEER ratio used for SEER 13 units applied to SEER 10 units. EERm = (11.3/13) * 10.

346.[130.] VEIC estimate. Extrapolation of manufacturer data.347.

[131.] NEEP, Mid-Atlantic Technical Reference Manual, V6. May 2016.348. Xenergy, “New Jersey Residential HVAC Baseline Study,” (Xenergy,

Washington, D.C., November 16, 2001) Table E-8.349. Engineering calculation, HSPF/COP=3.413350. Time period allocation factors used in cost-effectiveness analysis.351. “Review of Emerging HVAC Technologies and Practices” 03-STAC-01

Emerging Technologies Report, October 2005, John Proctor, PE, p. 46.352. Scott Pigg (Energy Center of Wisconsin), “Electricity Use by New Furnaces: A

Wisconsin Field Study,” Technical Report 230-1, October 2003.353. Ibid., p. 34. ARI charts suggest there are about 20% more full load cooling hours

in NJ than southern WI. Thus, average cooling savings in NJ are estimated at 95 to 115.

354. VEIC estimate. Conservatively assumes less savings than for QIV because of the retrofit context.


https://www.ecfr.gov/cgi-bin/text-idx?SID=2942a69a6328c23266612378a0725e60&mc=true&node=se10.3.430_132&rgn=div8



355. NY_TRM – Version 4.0 April 2016. Appendix G – Equivalent Full-Load Hours (EFLH), For Heating and Cooling. Page 441. Derived from DOE2.2 simulations reflecting four different prototypical residential home types described in Appendix G.KEMA, June 2009, New Jersey’s Clean Energy Program Residential HVAC Impact Evaluation and Protocol Review; available at: http://www.njcleanenergy.com/files/file/Library/HVAC%20Evaluation%20Report%20-%20Final%20June%2011%202009.pdf..

356. AHRI directory; baseline values are the least efficient “Geothermal – Water-to –Air Heat Pumps” active in the directory, downloaded May 18, 2015.

357. VEIC estimate, based on PEPCo assumptions.358. Time period allocation factors used in cost-effectiveness analysis.359. Energy savings are estimated based on 2008 SRCC OG300 ratings for a typical 2

panel system with solar storage tank in Newark, NJ with electric DHW backup. Demand savings are estimated based on an estimated electric DHW demand of 2.13kW with 20% CF. Load shape and coincidence factors were developed by VEIC from ASHRAE Standard 90.2 Hot Water Draw Profile and NREL Red Book insulation data for Newark, NJ.

360. Table 1. (Page 2) From “Heat Pump Water Heaters Evaluation of Field Installed Performance.” Steven Winter Associates, Inc. (2012). http://www.ma-eeac.org/Docs/8.1_EMV%20Page/2012/2012%20Residential%20Studies/MA%20RR&LI%20-%202011%20HPWH%20Field%20Evaluation%20Report%20FINAL%206_26_2012.pdf

361. VEIC Estimate based upon range derived from FEMP Federal Technology Alert: S9508031.3a (http://www1.eere.energy.gov/femp/pdfs/FTA_res_heat_pump.pdf)

362. “Electrical Use, Efficiency, and Peak Demand of Electric Resistance, Heat Pump, Desuperheater, and Solar Hot Water Systems”, http://www.fsec.ucf.edu/en/publications/html/FSEC-PF-215-90/

363. 30% savings (from Zaloum, C. Lafrance, M. Gusdorf, J. “Drain Water Heat Recovery Characterization and Modeling” Natural Resources Canada. 2007. Savings vary due to a number of factors including make, model, installation-type, and household behaviors.) multiplied by standard electric resistance water heating baseline annual usage of 4,857 kWh cited in source #23 above.

364. Demand savings are estimated based on electric DHW demand of 2.13kW and 20% CF as in cited source #21 adjusting for the proportional difference of 30% savings relative to the 70% solar fraction: 0.426*0.3/0.9 = 0.142.


http://www1.eere.energy.gov/femp/pdfs/FTA_res_heat_pump.pdf

http://www.ma-eeac.org/Docs/8.1_EMV%20Page/2012/2012%20Residential%20Studies/MA%20RR&LI%20-%202011%20HPWH%20Field%20Evaluation%20Report%20FINAL%206_26_2012.pdf



http://www.njcleanenergy.com/files/file/Library/HVAC%20Evaluation%20Report%20-%20Final%20June%2011%202009.pdf


Residential Gas HVAC

Protocols[132.] The following sectionstwo algorithms detail savings calculations for gas space

heating and gas water heating equipment in residential applications.. They are to be used to determine gas energy savings between baseline standard units and the high efficiency units promoted in the program. The input values are based on data on typical customers supplied by the gas utilities, an analysis by the Federal Energy Management Program (FEMP), and customer information on the application form, confirmed with manufacturer data. The energy values are in therms.

365.[133.] Furnaces

366. This section provides energy savings algorithms for qualifying gas and oil furnaces installed in residential settings. The input values are based on the specifications of the actual equipment being installed, federal equipment efficiency standards, and the most recent impact evaluation of the residential Warm and Cool Advantage programs (2009).

367. This measure applies to replacement of failed equipment or end of useful life. The baseline unit is a code compliant unit with an efficiency as required by IECC 2015, which is the current residential code adopted by the state of New Jersey.

368.

369. Space Heaters[134.] Algorithms

[135.] FuelGas Savings (MMBtu/yr) = kBtu/hrin * EFLH * ((AFUEq = [(Capyq/AFUEb) – 1) / 1000 kBtu/MMBtu(Capyq/ AFUEq)] * EFLH / 100,000 BTUs/therm 370.[136.] [137.] Low Income Gas Savings = [(Capyq/AFUELI) – (Capyq/ AFUEq)] * EFLH /

100,000 BTUs/therm [138.] [139.] Gas Definition of Variables 371. kBtu/hrin = Input capacity of qualifying unit in kBtu/hour372. EFLHh = The Equivalent Full Load Hours of operation per year for the average unit during the heating season 373. AFUEq = Annual Fuel Utilization Efficiency of the qualifying furnace 374. AFUEb = Annual Fuel Utilization Efficiency of the baseline furnace meeting current federal equipment standards 375.


376. Summary of Inputs 377. Furnace Assumptions

378.[140.] Component

379.Type


382. kBtu/hrin 383.Varia

ble

384. 385. Application

386. EFLHh387.Fixed

388. 727 hoursSee Table Below 389. 1 4

390. AFUEq 391.Varia

ble


394. AFUEb395.Fixed

396. Weatherized gas: 81%397. Weatherized oil: 78%

398. Mobile home gas: 80%

399. Mobile home oil: 75%400. Non-weatherized gas:

80%401. Non-weatherized oil:

83%

402. 2

403.404.[141.] EFLH Table

405.[142.] Single Family Detached

406.[143.] Heating EFLH

407.[144.] Cooling

EFLH

408.[145.] Old 409.[146.] 867

410.[147.] 670

411.[148.] Average

412.[149.] 786

413.[150.] 649

414.[151.] New

415.[152.] 725

416.[153.] 630

417.[154.] Sources

1. NY_TRM – Version 4.0 April 2016. Appendix G – Equivalent Full-Load Hours (EFLH), For Heating and Cooling. Page 441. Derived from DOE2.2 simulations reflecting four different prototypical residential home types described in Appendix G.KEMA, June 2009, New Jersey’s Clean Energy Program Residential HVAC Impact Evaluation and Protocol Review; available at: http://www.njcleanenergy.com/files/file/Library/HVAC%20Evaluation%20Report%20-%20Final%20June%2011%202009.pdf.





2. US Government Publishing Office, June 2017, Electronic Code of Federal Regulations – Title 10, Chapter II, Subchapter D, Part 430, Subpart C, §430.32; available at: https://www.ecfr.gov/cgi-bin/text-idx?SID=2942a69a6328c23266612378a0725e60&mc=true&node=se10.3.430_132&rgn=div8.

418. Boilers

419. BoilersThis section provides energy savings algorithms for qualifying boilers installed in residential settings. The input values are based on the specifications of the actual equipment being installed, federal equipment efficiency standards, and the most recent impact evaluation of the residential Warm and Cool Advantage programs (2009).

420. This measure applies to replacement of failed equipment or end of useful life. The baseline unit is a code compliant unit with an efficiency as required by IECC 2015, which is the current residential code adopted by the state of New Jersey.

421.422.[155.] Algorithms423.424.[156.] Fuel Savings (MMBtu/yr) = kBtuin/hr * EFLHh * ((AFUEq/AFUEb)-1) / 1000 kBtu/MMBtu425.426.[157.] Definition of Variables427. kBtuin/hr = Input capacity of qualifying unit428. EFLHh = The Equivalent Full Load Hours of operation for the average unit during the heating season in hours 429. AFUEq = Annual Fuel Utilization Efficiency of the qualifying boiler430. AFUEb = Annual Fuel Utilization Efficiency of the baseline boiler431. 432. Summary of Inputs

433. Space Heating Boiler Assumptions434. Compon

ent435. Type 436. Value 437. Source

438. kBtuin 439. Variable


442. EFLHh 443. Fixed

444. 727 hoursSee Table Below

445. 1 5

446. AFUEq 447. Variable

448.[158.] 449.[159.] Application

450. AFUEb451. Fixe

d

452. Gas fired boiler – 82%

453. Oil fired boiler – 84%

454. 2






455.456.[160.] EFLH Table

457. Single Family

Detached

458. Heating

EFLH

459. Cooling

EFLH

460. Old 461. 867 462. 670

463. Average 464. 786 465. 64

9

466. New 467. 725 468. 630

469.470.[161.] Sources



471. Combination Boilers

472. This section provides energy savings algorithms for qualifying gas combination boilers installed in residential settings. A combination boiler is defined as a boiler that provides domestic hot water and space heating. The input values are based on the specifications of the actual equipment being installed, federal equipment efficiency standards, DOE2.2 simulations completed by the New York State Joint Utilities and regional estimates of average baseline water heating energy usage.

473. This measure assumes the existing boiler system has failed or is at end of useful life and is replaced with a combination boiler. The baseline boiler unit has an efficiency as required by IECC 2015, which is the current residential code adopted by the state of New Jersey. For the water heating component, this measure assumes that the baseline water heater is a storage water heater, and customers replacing existing tankless water heaters are not eligible.

474. Note, that as of June 12, 2017, the Federal Trade Commission has published a final rule updating the EnergyGuide label to reflect recent changes by the Department of Energy to the Code of Federal Regulations regarding the use of




uniform energy factor (UEF) rather than the traditional energy factor (EF)6 for consumer and commercial water heaters.

475. 476. Algorithms477.478.[162.] Fuel Savings (MMBtu/yr) = MMBtu/yr Boiler Fuel Savings + MMBtu/yr DHW Fuel Savings479. 480. MMBtu Boiler Fuel Savings/yr = kBtuin/hr * EFLHh * ((AFUEq/AFUEb)-1) / 1,000 kBtu/MMBTU481. 482. MMBtu DHW Fuel Savings/yr = (1 – (UEFb / UEFq)) × Baseline Water Heater Usage 483.484.[163.] Definition of Variables485. kBtuin/hr = Input capacity of qualifying unit in kBtu/hr486. EFLHh = The Equivalent Full Load Hours of operation for the average unit during the heating season 487. AFUEq = Annual fuel utilization efficiency of the qualifying boiler488. AFUEb = Annual fuel utilization efficiency of the baseline boiler489. UEFq = Uniform energy factor of the qualifying energy efficient water heater.490. UEFb = Uniform energy factor of the baseline water heater. In New Jersey the 2015 International Energy Conseration Code (IECC) generally defines the residential energy efficiency code requirements, but the IECC does not include residential service water heating provisions, leaving federal equipment efficiency standards to define baseline. 491. Baseline Water Heater Usage = Annual usage of the baseline water heater492. 493. Summary of Inputs 494.

495. Combination Boiler Assumptions496. Compon

ent497.Type 498. Value 499. Sourc

e

500. kBtuin/hr

501.Varia

ble


504. EFLHh505.Fixed


508. AFUEq 509.Varia

510. 511. Appli

6 The final ruling on this change is available at: https://energy.gov/sites/prod/files/2016/12/f34/WH_Conversion_Final%20Rule.pdf.7 From NY TRM 2016, for NYC due to proximity to NJ; for single family detached


https://energy.gov/sites/prod/files/2016/12/f34/WH_Conversion_Final%20Rule.pdf

496. Component

497.Type 498. Value 499. Sourc

eble cation

512. AFUEb513.Fixed

514. Gas fired boiler – 82%515. Oil fired boiler – 84%

516. 2

517. UEFb518.Fixed

519. Storage Water Heater – 0.657 520. 2

521. UEFq522.Fixed 523. 0.87 524. 3

525. Baseline Water Heater Usage

526.Fixed

527. 23.6 MMBtu/yr528. 529. 4

530.531.[164.] The referenced federal standards for the baseline UEF are dependent on

both draw pattern and tank size. A weighted average baseline UEF was calculated with a medium draw pattern from the referenced federal standards and water heating equipment market data from the Energy Information Association 2009 residential energy consumption survey for NJ8 assuming tank sizes of 30 gallons for small units, 40 gallons for medium units, and 55 gallons for large units.


534. Single Family

Detached

535. Heating

EFLH

536. Cooling

EFLH

537. Old 538. 867 539. 670

540. Average 541. 786 542. 64

9

543. New 544. 725 545. 630

546.547.[165.] Sources


8 Available at: https://www.eia.gov/consumption/residential/data/2009/hc/hc8.8.xls




https://www.eia.gov/consumption/residential/data/2009/hc/hc8.8.xls


3. Minimum UEF for instantaneous (tankless) water heaters from Energy Star https://www.energystar.gov/products/water_heaters/residential_water_heaters_key_product_criteria.

4. US Energy Information Association, 2009 Residential Energy Consumption Survey Data9; available at: https://www.eia.gov/consumption/residential/data/2009/c&e/ce3.2.xlsx

548. Boiler Reset Controls

549.[166.] The following algorithm details savings for installation of boiler reset control on residential boilers. Energy savings are realized through a better control of boiler water temperature. Through the use of software settings, boiler reset controls use outside or return water temperature to control boiler firing and in turn the boiler water temperature.

550.[167.] The input values are based on data supplied by the utilities and customer information on the application form, confirmed with manufacturer data. Unit savings are deemed based on study results.

551. Algorithms

552. Fuel Savings (MMBtu/yr) = (% Savings) * (EFLHh * kBtuin/hr) / 1,000 kBtu/MMBtu553. 554. Definition of Variables 555. % Savings = Estimated percentage reduction in heating load due to boiler reset controlsduct sealing = (CAPavg AFUEavg) * EFLH * (DuctSFh/100,000 BTUs/therm)556.[168.] EFLHh = The Equivalent Full Load Hours of operation for the average unit during the heating season557. kBtuin/hr = Input capacity of boiler

558. Summary of Inputs 559.

560. Boiler Reset Control Assumptions561. Compon


e565. %

Savings566.Fixed 567. 5% 568. 1

569. EFLHh570.Fixed


9 Data for 2015 will be available in 2018.10 From NY TRM 2016, for NYC due to proximity to NJ; for single family detached


https://www.energystar.gov/products/water_heaters/residential_water_heaters_key_product_criteria

https://www.energystar.gov/products/water_heaters/residential_water_heaters_key_product_criteria




561. Component

562.Type 563. Value 564. Sourc

e

573. kBtuin/hr

574.Varia

ble



579. Single Family

Detached

580. Heating

EFLH

581. Cooling

EFLH

582. Old 583. 867 584. 670

585. Average 586. 786 587. 64

9

588. New 589. 725 590. 630

591. 592. Sources

1. GDS Associates, Inc., Natural Gas Energy Efficiency Potential in Massachusetts, 2009, p. 38, Table 6-4, http://ma-eeac.org/wordpress/wp-content/uploads/5_Natural-Gas-EE-Potenial-in-MA.pdf.


593. Storage Water Heaters594. This section provides energy savings algorithms for qualifying storage hot

water heaters installed in residential settings. This measure assumes that the baseline water heater is a new storage water heater. The input values are based on federal equipment efficiency standards and regional estimates of average baseline water heating energy usage. Note, that as of June 12, 2017, the Federal Trade Commission has published a final rule updating the EnergyGuide label to reflect recent changes by the Department of Energy to the Code of Federal Regulations regarding the use of uniform energy factor (UEF) rather than the traditional energy factor (EF)11 for consumer and commercial water heaters.

595.596.[169.] Algorithms597.

11 The final ruling on this change is available at: https://energy.gov/sites/prod/files/2016/12/f34/WH_Conversion_Final%20Rule.pdf





http://ma-eeac.org/wordpress/wp-content/uploads/5_Natural-Gas-EE-Potenial-in-MA.pdf

http://ma-eeac.org/wordpress/wp-content/uploads/5_Natural-Gas-EE-Potenial-in-MA.pdf

598.[170.] Fuel Savings (MMBtu/yr) = (1 – (UEFb / UEFq)) × Baseline Water Heater Usage

599.600.[171.] Definition of Variables601. UEFq = Uniform energy factor of the qualifying energy efficient water heater.602. UEFb = Uniform energy factor of the baseline water heater. In New Jersey the 2015 International Energy Conseration Code (IECC) generally defines the residential energy efficiency code requirements, but the IECC does not include residential service water heating provisions, leaving federal equipment efficiency standards to define baseline. 603. Baseline Water Heater Usage = Annual usage of the baseline water heater604. 605. Summary of Inputs 606.

607. Storage Water Heater608. C

omponen

t

609.Type

610. Valuea 611. Sources

612. U EFq

613.Variab

le

614. 615. Applicati

on616. U

EFb 617.Variab

le

618. If gas & less than 55 gal: UEFb = 0.6483–(0.0017×V)

619. If gas & more than 55 gal: UEFb = 0.7897–(0.0004×V)

620. 1

621. B aseline

Water

Heater

Usage

622.Fixed

623. 23.6 MMBtu/yr624.

625. 2

626. a V refers to volume of the installed storage water heater tank in gallons627. 628. The referenced federal standards for the baseline UEF are dependent on both

draw pattern and tank size. The baseline UEF formulas shown in the table above are associated with medium draw patterns.

629.

630. Sources

1. US Government Publishing Office, June 2017, Electronic Code of Federal Regulations – Title 10, Part 430, Subpart C; available at:


https://www.ecfr.gov/cgi-bin/text-idx?SID=2942a69a6328c23266612378a0725e60&mc=true&node=se10.3.430_132&rgn=div8.

2. US Energy Information Association, 2009 Residential Energy Consumption Survey Data12; available at: https://www.eia.gov/consumption/residential/data/2009/c&e/ce3.2.xlsx.

631. Instantaneous Water Heaters632. This section provides energy savings algorithms for qualifying instantaneous

hot water heaters installed in residential settings. This measure assumes that the baseline water heater is either a new storage water heater, or instantaneous water heater. The input values are based on federal equipment efficiency standards and regional estimates of average baseline water heating energy usage. Note, that as of June 12, 2017, the Federal Trade Commission has published a final rule updating the EnergyGuide label to reflect recent changes by the Department of Energy to the Code of Federal Regulations regarding the use of uniform energy factor (UEF) rather than the traditional energy factor (EF)13 for consumer and commercial water heaters.

633. 634. Algorithms 635. 636. Fuel Savings (MMBtu/yr) = (1 – (UEFb / UEFq)) × Baseline Water Heater

Usage 637. 638. Definition of Variables639. UEFq = Uniform energy factor of the qualifying energy efficient water heater.640. UEFb = Uniform energy factor of the baseline water heater. In New Jersey the 2015 International Energy Conseration Code (IECC) generally defines the residential energy efficiency code requirements, but the IECC does not include residential service water heating provisions, leaving federal equipment efficiency standards to define baseline. 641. Baseline Water Heater Usage = Annual usage of the baseline water heater642. 643. Summary of Inputs

644. Instantaneous Water Heaters645.[172.] C

omponent

646.Type

647. Value 648. S ource

649. UEFq

650.Variab

le

651. 652. A pplication

12 Data for 2015 will be available in 2018.13 The final ruling on this change is available at: https://energy.gov/sites/prod/files/2016/12/f34/WH_Conversion_Final%20Rule.pdf






645.[172.] C ompone

nt

646.Type

647. Value 648. S ource

653. UEFb

654.Variab

le

655. Storage water heater – 0.657656. Instantaneous water heater –

0.81

657. 1

658. Baseline

Water Heater Usage

659.Fixed

660. 23.6 MMBtu/yr661.

662. 2

663. 664. The referenced federal standards for the baseline UEF are dependent on both

draw pattern and tank size. A weighted average baseline UEF was calculated with a medium draw pattern from the referenced federal standards and water heating equipment market data from the Energy Information Association 2009 residential energy consumption survey for NJ14 assuming tank sizes of 30 gallons for small units, 40 gallons for medium units, and 55 gallons for large units.

665.666.[173.] Sources

1. US Government Publishing Office, June 2017, Electronic Code of Federal Regulations – Title 10, Part 430, Subpart C; available at: https://www.ecfr.gov/cgi-bin/text-idx?SID=2942a69a6328c23266612378a0725e60&mc=true&node=se10.3.430_132&rgn=div8.

2. US Energy Information Association, 2009 Residential Energy Consumption Survey Data15; available at: https://www.eia.gov/consumption/residential/data/2009/c&e/ce3.2.xlsx.667. 668.[174.] Average Heating Use (therms) = (Capavg / AFUEavg) * EFLH / 100,000

BTUs/therm[175.] [176.] EFLH = Average Heating Use * AFUEavg* 100,000 BTUs/therm) / Capavg

[177.] [178.] Oil Savings for a qualifying boiler = OsavBOILER[179.] [180.] Oil Savings = [(Capyq/AFUEb) – (Capyq/ AFUEq)] * EFLH / 100,000

BTUs/therm[181.] [182.] Circulator Pumps Savings (kWh) = Hours * (WattsBase – WattsEE)/1000 [183.]

14 Available at: https://www.eia.gov/consumption/residential/data/2009/hc/hc8.8.xls15 Data for 2015 will be available in 2018.





https://www.eia.gov/consumption/residential/data/2009/hc/hc8.8.xls

[184.] Definition of Variables [185.] [186.] Capyq = Output capacity of qualifying unit output in BTUs/hour[187.] [188.] Capyt = Output capacity of the typical heating unit output in Btus/hour[189.] [190.] Capyavg = Output capacity of the average heating unit output in Btus/hour[191.] [192.] EFLH = The Equivalent Full Load Hours of operation for the average unit. [193.] [194.] DuctSFh = The Duct Sealing Factor or the assumed savings due to proper

sealing of all heating ducts[195.] [196.] AFUEavg = Annual Fuel Utilization Efficiency of the average furnace or boiler

[197.] [198.] AFUEq = Annual Fuel Utilization Efficiency of the qualifying baseline furnace or boiler

[199.] [200.] AFUEb = Annual Fuel Utilization Efficiency of the baseline furnace or boiler[201.] [202.] AFUELI = Annual Fuel Utilization Efficiency of the Low Income Program replaced furnace or boiler.

[203.] [204.] Average Heating Usage = The weighted average annual heating usage (therms)

of typical New Jersey heating customers[205.] [206.] WattsBase = Baseline connected kW[207.]

[208.] WattsEE = Efficient connected kW[209.]

[210.] Space Heating[211.] [212.] [213.] Sources:[1.] NJ Residential HVAC Baseline Study[2.] Federal minimum standards as of 2015.[3.] NJ utility analysis of heating customers, annual gas heating usage[4.] Prorated based on 12% of the annual degree days falling in the summer period

and 88% of the annual degree days falling in the winter period.[5.] Northeast Energy Efficiency Partnerships, Inc., “Benefits of HVAC Contractor

Training”, (February 2006): Appendix C Benefits of HVAC Contractor Training: Field Research Results 03-STAC-01

[6.] KEMA, NJ Clean Energy Program Energy Impact Evaluation Protocol Review. 2009.


[7.] Electric resistance heat calculated by determining the overall fuel cycle efficiency by dividing the average PJM heat rate (9,642 BTU per kWh) by the BTUs per kWh (3,413 BTU per kWh), giving a 2.83 BTUin per BTUout.

[8.] Efficiency Vermont Technical Reference Manual[9.] Boiler run hours, based on Efficiency Vermont TRM methodology, where boilers

have EFLH of 810 and the circ pump run hours are 1973. Therefore for NJ with 965 EFLH, the run hours can be estimated as 965 * 1973/810 = 2350

[214.] Water Heaters[215.] Algorithms [216.] [217.] Gas Savings = ((EFq – EFb)/EFq) X Baseline Water Heater Usage

[1.] [218.] Gas Savings (Solar DHW) = GsavSHW

[219.] Gas Savings (Drain Water Heat Recover) = GsavDWHR * Baseline Water Heater Usage

[220.] [221.] Definition of Variables [222.] [223.] EFq = Energy factor of the qualifying energy efficient water heater.[224.] Note: For qualifying units not rated with an Energy Factor, the estimated EFq

shall be used:[225.] Est. EFq = Qout/Qin

[226.] = 41,09416/ (41,094/TE + Volume*SLratio*24hours)[227.] [228.] Where: TE = Thermal (or Recovery) Efficiency of the unit as a

percentage[229.] Volume = Volume of storage water heater, in gallons.

[230.] SLratio = Average ratio of rated standby losses water heater (BTU loss per hour for > 90% TE units less than 130 Gallons = 9.7317

[231.] Gas & Propane Tankless Water Heaters1: EFb = 00.82 – (0.0019 * Gallons of Capacity)

[232.] Gas & Propane Storage or Power Vented Water Heaters1 :[233.] 55 gallons or less: EFb = 0.675 - (0.0015 * Gallons of Capacity) [234.] 56 gallons or more: EFb = 0.8012 - (0.00078 * Gallons of Capacity)[235.] [236.] Baseline Water Heater Usage = Annual usage of the baseline water heater, in

therms.[237.]

16 Based upon the test conditions of the DOE test protocol for residential water heaters, the amount of energy delivered is equal to 64.3 gallons * density of water (8.3lb/gal) * Specific heat of water (1 BTU/lb-F) and the temperature rise of 77degF (135F-58F).

17 Based upon February, 2012 query of ARHI/GAMA database http://cafs.ahrinet.org/gama_cafs/sdpsearch/search.jsp?table=CWH


http://cafs.ahrinet.org/gama_cafs/sdpsearch/search.jsp?table=CWH

[238.] GsavSHW = Gas savings, in therms, for a solar hot water installation augmented by a new gas hot water heater.

[239.] [240.] GsavDWHR = Gas savings, as a percentage, for a drain water heat recovery

installation in a home with a gas hot water heater.[241.]

[242.] Water Heaters[243.]

669.[244.] [245.] Sources:[1.] Federal EPACT Standard Table II.1, revised April 16, 2015[2.] KEMA. NJ Clean Energy Program Energy Impact Evaluation Protocol Review.

2009.[3.] Prorated based on 6 months in the summer period and 6 months in the winter

period.[4.] Savings derived from US DOE estimates for the SEEARP (ENERGY STAR®

Residential Water Heaters: Final Criteria Analysis)[5.] Zaloum, C. Lafrance, M. Gusdorf, J. “Drain Water Heat Recovery

Characterization and Modeling” Natural Resources Canada. 2007. Savings vary due to a number of factors including make, model, installation-type, and household behaviors.


Residential Low Income Program

Protocols670.[246.] The Protocols set out below are applicable to both the Comfort Partners

component of the Low-income Program currently implemented by the State’s electric and gas utilities and the Weatherization Assistance component of the Low-income Program implemented by the New Jersey Department of Community Affairs (DCA).

671.[247.] The savings protocols for the low-income program are based upon estimated per unit installed savings. In some cases, such as lighting and refrigerators, the savings per unit estimate is based on direct observation or monitoring of the existing equipment being replaced. For other measures, for example air sealing and insulation, the protocols calculation is based on an average % savings of pre-treatment consumption.

672.[248.] 673.[249.] Base Load Measures

674.[250.] Efficient Lighting675.[251.] Savings from installation of screw-in CFLs, high performance fixtures,

fluorescent torchieres, LEDs and LED nightlights are based on a straightforward algorithm that calculates the difference between existing and new wattage, and the average daily hours of usage for the lighting unit being replaced.

676.[252.] 677.[253.] Algorithm

678.[254.] Compact Fluorescent Screw In Lamp[255.] Energy SavingsElectricity Impact (kWh/yr) = ((CFLwatts) X (CFLhours X

365))/1000[256.] Peak Demand SavingsImpact (kW) = (CFLwatts) X Light CF

679.[257.] Efficient Fixtures[258.] Energy SavingsElectricity Impact (kWh/yr) = ((Fixtwatts) X (Fixthours X

365))/1000[259.] Peak Demand SavingsImpact (kW) = (Fixtwatts) X Light CF

680.[260.] Efficient Torchieres[261.] Energy SavingsElectricity Impact (kWh/yr) = ((Torchwatts) X (Torchhours X

365))/1000[262.] Peak Demand SavingsImpact (kW) = (Torchwatts) X Light CF

681.[263.] LED Screw In Lamp[264.] Energy SavingsElectricity Impact (kWh/yr) = ((LEDwatts) X (LEDhours X

365))/1000[265.] Peak Demand SavingsImpact (kW) = (LEDwatts) X Light CF

682.[266.] LED Nightlight


[267.] Energy SavingsElectricity Impact (kWh/yr) = ((LEDNwatts) X (LEDNhours X 365))/1000683.[268.]

[269.] Hot Water Conservation Measures684.[270.] The protocols savings estimates are based on an average package of

domestic hot water measures typically installed by low-income programs.685.[271.] 686.[272.] Low Flow Showerheads

[273.] Savings for low- flow showerhead measures are determined using the total change in flow rate (gallons per minute) from the baseline (existing) showerhead to the efficient showerhead.

687.[274.] Algorithms [275.] Energy SavingsElectricity Impact (kWh/yr) = %Electric DHW *

(GPM_base – GPM_ee) * kWh/∆GPM[276.] Peak Electric Demand SavingsImpact (kW) = Electricity Impact (kWh) *

Demand Factor688.[277.] Natural Gas Impact (therm) = %Gas DHW * (GPM_base – GPM_ee)

* therm/∆GPM

689.[278.] Definition of Variables 690.[279.] %Electric DHW = proportion of water heating supplied by electricity691.[280.] GPM_base = Flow rate of the baseline showerhead (gallons per

minute)692.[281.] GPM_ee = Flow rate of the efficient showerhead (gallons per minute)693.[282.] kWh/∆GPM = Electric energy savings of efficient showerhead per

gallon per minute (GPM)694.[283.] Demand Factor = energy to demand factor695.[284.] %Gas DHW = proportion of water heating supplied by natural gas 696.[285.] therm/∆GPM = natural gas energy savings of efficient showerhead per

gallon per minute (GPM) 697.[286.]

698.[287.] Low Flow Showerheads699.[288.] Compone

nt

700.[289.] Typ

e

701.[290.] Value 702.[291.] Sourc

es

703.[292.] % Electric

DHW

704.[293.] Vari

able

705.[294.] Electric DHW = 100%

706.[295.] Unknown = 13%

707.[296.] 1


699.[288.] Compone

nt

700.[289.] Typ

e

701.[290.] Value 702.[291.] Sourc

es

708.[297.] %Gas

DHW

709.[298.] Vari

able

710.[299.] Natural Gas DHW =

100%711.[300.] Unknown

= 81%

712.[301.] 1

713.[302.] GPM_bas

e

714.[303.] Vari

able

715.[304.] Rebate Application

716.[305.] Unknown = 2.5

717.[306.] 2

718.[307.] GPM_ee

719.[308.] Vari

able


721.[310.] Unknown = 1.5

722.[311.] 2

723.[312.] kWh/

∆GPM

724.[313.] Fixe

d

725.[314.] SF = 360.1

726.[315.] MF = 336.9

727.[316.] Unknown = 390.1

728.[317.] 3

729.[318.] therm/

∆GPM

730.[319.] Fixe

d

731.[320.] SF = 15.5732.[321.] MF = 16.9733.[322.] Unknown

= 16.8

734.[323.] 3, 4

735.[324.] Demand

Factor

736.[325.] Fixe

d

737.[326.] 0.00008013

738.[327.] 3

739.[328.] 740.[329.] Sources

[1.] Unknown hot water heating fuel assumption taken from 2009 RECS data for New Jersey; see. See Table HC8.8 Water Heating in U.S. Homes in Northeast Region, Divisions, and States.

[2.] Flow rate specification taken from rebate application; default. Default assumption for unknown flow rate taken from Pennsylvania Technical Reference Manual, effective. Effective June 2016, p.pages 120ff; available. Available at http://www.puc.pa.gov/pcdocs/1370278.docx.


http://www.puc.pa.gov/pcdocs/1370278.docx

1.[3.] Default assumptions from Pennsylvania Technical Reference Manual (ibid). [4.] Illinois Statewide Technical Reference Manual for Energy Efficiency, Version 4.0,

effective. Effective June 1, 2015, pp. pages 657ff; default. Default assumptions for housing demographic characteristics taken from PA TRM.741.[330.]


742.[331.] Low Flow Faucet Aerators

[332.] Savings for low- flow faucet aerator measures are determined using the total change in flow rate (gallons per minute) from the baseline (existing) faucet to the efficient faucet.

743.[333.] [334.] AlgorithmAlgorithms744. Energy SavingsElectricity Impact (kWh/yr) = %Electric DHW * (GPM_base – GPM_ee) * kWh/∆GPM[335.] Peak Electric Demand SavingsImpact (kW) = Electricity Impact (kWh) *

Demand Factor745.[336.] Natural Gas Impact (therm) = %Gas DHW * (GPM_base – GPM_ee) *

therm/∆GPM746.[337.] 747. Definition of Variables

748.[338.] %Electric DHW = proportion of water heating supplied by electricity749.[339.] GPM_base = Flow rate of the baseline faucet (gallons per minute)750.[340.] GPM_ee = Flow rate of the efficient faucet (gallons per minute) 751.[341.] kWh/∆GPM = Electric energy savings of efficient faucet per gallon per

minute (GPM)752.[342.] Demand Factor = energy to demand factor753.[343.] %Gas DHW = proportion of water heating supplied by natural gas754.[344.] therm/∆GPM = natural gas energy savings of efficient faucet per

gallon per minute (GPM) 755.[345.]

756.[346.] Low Flow Faucet Aerators757.[347.] Compone

nt

758.[348.] Typ

e

759.[349.] Value [350.] SourcesSource

760.[351.] % Electric

DHW

761.[352.] Vari

able

762.[353.] Electric DHW = 100%

763.[354.] Unknown = 13%

764.[355.] 1

765.[356.] % Gas

DHW

766.[357.] Vari

able

767.[358.] Natural Gas DHW =

100%768.[359.] Unknown

= 81%

769.[360.] 1


757.[347.] Compone

nt

758.[348.] Typ

e


770.[361.] GPM_bas

e

771.[362.] Vari

able


773.[364.] Unknown = 2.2

774.[365.] 2

775.[366.] GPM_ee

776.[367.] Vari

able


778.[369.] Unknown = 1.5

779.[370.] 2

780.[371.] kWh/

∆GPM

781.[372.] Fixe

d

782.[373.] SF = 60.5783.[374.] MF = 71.0784.[375.] Unknown

= 63.7

785.[376.] 3

786.[377.] therm/

∆GPM

787.[378.] Fixe

d

788.[379.] SF = 4.8789.[380.] MF = 6.5790.[381.] Unknown

= 5.0

791.[382.] 3, 4

792.[383.] Demand

Factor

793.[384.] Fixe

d

794.[385.] 0.00008013

795.[386.] 3

796.[387.] 797.[388.] Sources

[1.] Unknown hot water heating fuel assumption taken from 2009 RECS data for New Jersey; see. See Table HC8.8 Water Heating in U.S. Homes in Northeast Region, Divisions, and States.

[2.] Flow rate specification taken from rebate application; default. Default assumption for unknown flow rate taken from Pennsylvania Technical Reference Manual; effective. Effective June 2016, pp.pages 114ff; available. Available at http://www.puc.pa.gov/pcdocs/1370278.docx.

1.[3.] Default assumptions from Pennsylvania Technical Reference Manual (ibid). [4.] Illinois Statewide Technical Reference Manual for Energy Efficiency, Version 4.0,

effective. Effective June 1, 2015, pp. pages 648ff; default. Default assumptions for housing demographic characteristics taken from PA TRM.798.[389.]


http://www.puc.pa.gov/pcdocs/1370278.docx

799.[390.] Indirect Hot Water Heaters800.[391.]

801.[392.] Wisconsin’s 2013 Focus on Energy Deemed Savings are as follows.18

802.[393.] 803.[394.] ∆ Therm=Ther mStd−Ther mEff

804.[395.] 805.[396.] Ther mOut=E FStd ×Ther mStdTank

806.[397.] 807.[398.]

Ther mStd=Standb yStd ×8,760 ×1/100,000/ AFU EStd+Ther mOut × 1/AFU Estd

808.[399.] Average hot water use per person were taken from: Lutz, James D., Liu, Xiaomin, McMahan, James E., Dunham, Camilla, Shown, Leslie J., McCure, Quandra T; “Modeling patterns of hot water use in households;” LBL-37805 Rev. Lawrence Berkeley Laboratory, 1996.

809.[400.] 810.[401.]

Ther mEff=Standb y Eff × 8,760× 1/100,000/AFU EEff +Ther mOut × 1/AFU EEff

811.[402.]

812.[403.] Standb yStd=Vo l Std ×( ℉hrStd )×8.33

813.[404.]

814.[405.] Standb yEff =Vo lEff ×( ℉h r Eff )× 8.33

815.[406.] Table IV-13. Definitions and Values for Indirect Hot Water Heaters

[407.] 816.[408.]

Term 817.[409.] Definition 818.[410.] Value

819.[411.] ∆Therm [412.] Gas savingsSavings 820.[413.]

821.[414.] ThermStd

822.[415.] Calculated therms standard tank 823.[416.] 206

824.[417.] ThermEff

825.[418.] Calculated therms replacement tank 826.[419.] 177.52

827.[420.] ThermOut

828.[421.] 829.[422.]

830.[423.] EFStd

831.[424.] Federal standard energy factor 832.[425.] (.67 – (.0019xvolume))=.

58

18The Cadmus Group, Inc. “Final Report Focus on Energy Evaluated Deemed Savings Changes.” Prepared for the Public Service Commission of Wisconsin. November 26, 2013. Pp.Pages 15-16.


816.[408.] Term 817.[409.] Definition 818.[410.] Value

833.[426.] Ther

mStdT

ank

834.[427.] Therms used by standard tank 835.[428.] 223

836.[429.] Standb

yStd

837.[430.] Standby loss from standard water heater

[431.] 434 BtuBTU/hr*

838.[432.] AFUEStd

839.[433.] Efficiency (AFUE) of standard water heater 840.[434.] 80%

841.[435.] Standb

yEff

842.[436.] Standby loss from efficient water heater

[437.] 397 BtuBTU/hr**

843.[438.] AFUEEff

844.[439.] Efficiency (AFUE) of efficient water heater 845.[440.] 93%

846.[441.] VolStd

847.[442.] Volume of standard water heater (gallons) 848.[443.] 63.50

849.[444.] VolEff

850.[445.] Volume of efficient water heater (gallons) 851.[446.] 51.20

852.[447.] °F/hrStd

853.[448.] Heat lost per hour from standard water heater tank 854.[449.] 0.8

855.[450.] °F/hrEff

856.[451.] Heat lost per hour from efficient water heater tank 857.[452.] 0.93

858.[453.] 859.[454.] Conversion factor: density of water (lbs./gallon) 860.[455.] 8.33

861.[456.] *AHRI Database. **Data model look-ups of AHRI Certifications.862.[457.]

863.[458.] Efficient Refrigerators[459.] The eligibility for refrigerator replacement is determined by comparing

monitored consumption for the existing refrigerator with the rated consumption of the eligible replacement. Estimated savings are directly calculated based on the difference between these two values. Note that in the case where an under-utilized or unneeded refrigerator unit is removed, and no replacement is installed, the Refnew term of the equation will be zero.

864.[460.] 865.[461.] Algorithm

[462.] Energy SavingsElectricity Impact (kWh/yr) = Refold – Refnew

[463.] Peak Demand SavingsImpact (kW) = (Refold – Refnew) *(Ref DF)866.[464.]

867.[465.] Space Conditioning Measures

[466.] When available, gas heat measure savings will be based on heating use. If only total gas use is known, heating use will be estimated as total use less 300 therms.


868.[467.] Air Sealing[468.] It is assumed that air sealing is the first priority among candidate space

conditioning measures. Expected percentage savings is based on previous experiences with measured savings from similar programs. Note there are no summer coincident electric peak demand savings estimated at this time.

869.[469.] Algorithm [470.] Energy SavingsElectricity Impact (kWh/yr) = ESCpre X 0.05870.[471.] MMBtu savings = (GHpre X 0.05)

871.[472.] Furnace/Boiler Replacement872.[473.] Quantification of savings due to furnace and boiler replacements

implemented under the low-income program will be based on the algorithms presented in the Residential Gas HVAC section of these Protocols.

873.[474.] Duct Sealing and Repair[475.] The second priority for homes with either Central Air Conditioning (CAC) or

some other form of ducted distribution of electric space conditioning (electric furnace, gas furnace or heat pump) is ensuring integrity and effectiveness of the ducted distribution system.

874.[476.] 875.[477.] Algorithm 876.[478.] With CAC

[479.] Energy SavingsElectricity Impact (kWh/yr) = (ECoolpre) X 0.10[480.] Peak Demand SavingsImpact (kW) = (Ecoolpre X 0.10) / EFLH X AC CF877.[481.] MMBtu savings = (GHpre X 0.02)

878.[482.] No CAC [483.] Energy SavingsElectricity Impact (kWh/yr) = (ESCpre.) X 0.02879.[484.] MMBtu savings = (GHpre X 0.02)

[485.] Combined space and water heating (Combo)[486.] [487.] Participants installing a qualifying boiler or furnace and a qualifying water heater

at the same time earn a special incentive. For savings calculations, there is no special consideration. The heating system savings are calculated according to the appropriate algorithm and the water heating savings are calculated separately according to the system type.

[488.] Insulation UpgradesUp-Grades [489.] For savings calculations, it is assumed that any applicable air sealing and duct

sealing/repair have been done, thereby reducing the space conditioning load, before consideration of upgrading insulation. Attic insulation savings are then projected on the basis of the “new” load. Gas savings are somewhat greater, as homes with gas heat generally have less insulation.

880.[490.] 881.[491.] Algorithm

[492.] Energy savingsElectricity Impact (kWh/yr) = (ESCpre) X 0.08


882.[493.] MMBtu savings = GHpre X 0.13

883.[494.] Thermostat Replacement884.[495.] Thermostats are eligible for consideration as an electric space conditioning

measure only after the first three priority items. Savings projections are based on a conservative 3% of the “new” load after installation of any of the top three priority measures.

885.[496.] 886.[497.] Algorithm

[498.] Energy SavingsElectricity Impact (kWh/yr) = (ESCpre) X 0.03 887.[499.] MMBtu savings = (GHpre X 0.03)

888.[500.] Heating and Cooling Equipment Maintenance Repair/Replacement889.[501.] Savings projections for heat pump charge and air flow correction. Protocol

savings account for shell measures having been installed that reduce the preexisting load.

890.[502.] 891.[503.] Algorithm

[504.] Energy SavingsElectricity Impact (kWh/yr) = (ESCpre) X 0.17[505.] Peak Demand SavingsImpact (kW) = (Capy/EER X 1000) X HP CF X

DSF

892.[506.] Other “Custom” Measures893.[507.] In addition to the typical measures for which savings algorithms have been

developed, it is assumed that there will be niche opportunities that should be identified and addressed. The savings for these custom measures will be reported based on the individual calculations supplied with the reporting. As necessary the program working group will develop specific guidelines for frequent custom measures for use in reporting and contractor tracking.

894.[508.] 895.[509.] Definition of Terms 896.[510.] CFLwatts = Average watts replaced for a CFL installation.897.[511.] CFLhours = Average daily burn time for CFL replacements.898.[512.] Fixtwatts = Average watts replaced for an efficient fixture installation.899.[513.] Fixthours = Average daily burn time for CFL replacements.900.[514.] Torchwatts = Average watts replaced for a Torchiere replacement.901.[515.] Torchhours = Average daily burn time for a Torchiere replacements.902.[516.] LEDwatts = Average watts replaced for an LED installation.903.[517.] LEDhours = Average daily burn time for LED replacements.904.[518.] LEDNwatts = Average watts replaced for an LED nightlight installation.905.[519.] LEDNhours = Average daily burn time for LED nightlight replacements.906.[520.] Light CF = Summer demand coincidence factor for all lighting measures.

Currently fixed at 5%.


907.[521.] HWeavg = Average electricity savings from typical electric hot water measure package.

908.[522.] HWgavg = Average natural gas savings from typical electric hot water measure package.

909.[523.] HWwatts = Connected load reduction for typical hot water efficiency measures

910.[524.] HW CF = Summer demand coincidence factor for electric hot water measure package. Currently fixed at 75%.

911.[525.] Refold = Annual energy consumption of existing refrigerator based on on-site monitoring.

912.[526.] Refnew = Rated annual energy consumption of the new refrigerator.913.[527.] Ref DF = kW /kWh of savings. Refrigerator demand savings factor.914.[528.] Ref CF = Summer demand coincidence factor for refrigeration. Currently

100%, diversity accounted for in the Ref DF factor. 915.[529.] ESCpre = Pre-treatment electric space conditioning consumption.

916.[530.] ECoolpre = Pre-treatment electric cooling consumption.917.[531.] EFLH = Equivalent full load hours of operation for the average unit. This

value is currently fixed at 650 hours. 918.[532.] AC CF = Summer demand coincidence factor for air conditioning. Currently

85%.919.[533.] Capy = Capacity of Heat Pump in Btuh920.[534.] EER = Energy Efficiency Ratio of average heat pump receiving charge and air

flow service. Fixed at 9.2921.[535.] HP CF = Summer demand coincidence factor for heat pump. Currently fixed

at 70%.922.[536.] DSF = Demand savings factor for charge and air flow correction. Currently

fixed at 7%.923.[537.] GCpre = Pre-treatment gas consumption.924.[538.] GHpre = Pre-treatment gas space heat consumption (=.GCpre less 300 therms if

only total gas use is known.925.[539.] WS = Water Savings associated with water conservation measures. Currently

fixed at 3,640 gallons per year per home receiving low-flow showerheads, plus 730 gallons saved per year aerator installed.

926.[540.] Residential Low Income927.[541.] Com

ponent928.[542.] Type 929.[543.] Value [544.] Sourc

eSources930.[545.] CFLWatts 931.[546.] Fixed [547.] 42 wattsWatts 932.[548.] 1933.[549.] CFLHours 934.[550.] Fixed 935.[551.] 2.5 hours 936.[552.] 1937.[553.] Fix

tWatts

938.[554.] Fixed [555.] 100–-120 wattsWatts

939.[556.] 1

940.[557.] Fix 941.[558.] Fixed 942.[559.] 3.5 hours 943.[560.] 1



928.[542.] Type 929.[543.] Value [544.] SourceSources

tHours

944.[561.] TorchWatts

945.[562.] Fixed [563.] 245 wattsWatts

946.[564.] 1

947.[565.] TorchHours

948.[566.] Fixed 949.[567.] 3.5 hours 950.[568.] 1

951.[569.] LEDWatts

952.[570.] Fixed [571.] 52 wattsWatts 953.[572.] 14

954.[573.] LEDHours

955.[574.] Fixed 956.[575.] 2.5 hours 957.[576.] 14

958.[577.] LEDNWatts

959.[578.] Fixed [579.] 6.75 wattsWatts

960.[580.] 14

961.[581.] LEDNHours

962.[582.] Fixed 963.[583.] 12 hours 964.[584.] 15

965.[585.] Light CF

966.[586.] Fixed 967.[587.] 5% 968.[588.] 2

969.[589.] Elec. Water

Heating Savings

970.[590.] Fixed 971.[591.] 178 kWh 972.[592.] 3

973.[593.] Gas Water

Heating Savings

974.[594.] Fixed [595.] 1.01 MMBtuMMBTU

975.[596.] 3

976.[597.] WS Water

Savings

977.[598.] Fixed [599.] 3,640 gal/year per home

receiving low- flow shower

heads, plus 1,460 gal/year per

home receiving aerators.

978.[600.] 12

979.[601.] HWwatts 980.[602.] Fixed 981.[603.] 0.022 kW 982.[604.] 4983.[605.] HW

CF984.[606.] Fixed 985.[607.] 75% 986.[608.] 4

987.[609.] Refold 988.[610.] Variable

989.[611.] 990.[612.] Contractor

Tracking991.[613.] Refnew 992.[614.] Varia

ble993.[615.] 994.[616.] Cont

ractor Tracking

and Manufactur




er data995.[617.] Ref

DF996.[618.] Fixed 997.[619.] 0.000139

kW/kWh savings998.[620.] 5

999.[621.] RefCF

1000.[622.] Fixed

1001.[623.] 100% 1002.[624.] 6

1003.[625.] ESCpre

1004.[626.] Variable

1005.[627.] 1006.[628.] 7

1007.[629.] Ecoolpre


1009.[631.] 1010.[632.] 7

1011.[633.] ELFH

1012.[634.] Fixed

1013.[635.] 650 hours

1014.[636.] 8

1015.[637.] AC CF

1016.[638.] Fixed

1017.[639.] 85% 1018.[640.] 4

1019.[641.] Capy

1020.[642.] Fixed

1021.[643.] 33,000 Btu/hr

1022.[644.] 1

1023.[645.] EER 1024.[646.] Fixed

1025.[647.] 11.3 1026.[648.] 8

1027.[649.] HP CF

1028.[650.] Fixed

1029.[651.] 70% 1030.[652.] 9

1031.[653.] DSF 1032.[654.] Fixed

1033.[655.] 7% 1034.[656.] 10

1035.[657.] GCpre


1037.[659.] 1038.[660.] 7

1039.[661.] GHpre


1041.[663.] 1042.[664.] 7

1043.[665.] Time Period

Allocation Factors – Electric

1044.[666.]

1045.[667.] Fixed

1046.[668.] Summer/On-Peak 21%


1048.[670.] Winter/On-Peak 28%


1050.[672.] 11

1051.[673.] Time Period

Allocation Factors –

Gas

1052.[674.] Fixed

1053.[675.] Heating:1054.[676.] Summer

12%1055.[677.] Winter

88%1056.[678.] Non-

Heating:1057.[679.] Summer

1059.[681.] 13




50%1058.[680.] Winter

50%1060.[682.] 1061.[683.] Sources/Notes :

1. Working group expected averages for product specific measures. 2. Efficiency Vermont, Technical Reference User Manual, 2016 – average for lighting

products. 3. Experience with average hot water measure savings from low income and direct

install programs.4. VEIC estimate.[5.] UI Refrigerator Load Data profile, .16 kW (5 p.m.5pm July) and 1,147 kWh annual

consumption.5.[6.] Diversity accounted for by Ref DF.6.[7.] Billing histories and (for electricity) contractor calculations based on program

procedures for estimating space conditioning and cooling consumption.7.[8.] Average EER for SEER 13 units.8.[9.] Analysis of data from 6 utilities by Proctor Engineering9.[10.] From Neme, Proctor and Nadel, 1999.10.[11.] These allocations may change with actual penetration numbers are available.[12.] VEIC estimate, assuming 1 GPM reduction for 14 5-five minute showers per week

for shower heads, and 4 gallons saved per day for aerators.[13.] Heating: Prorated based on 12% of the annual degree days falling in the summer

period and 88% of the annual degree days falling in the winter period.[684.] Non-Heating: Prorated based on 6 months in the summer period and 6 months in the winter period.

[14.] “NJ Comfort Partners Energy Saving Protocols and Engineering Estimates,”.” Apprise, June 2014; available. Available at http://www.njcleanenergy.com/files/file/Protocol%20and%20Engineering%20Estimate%20Summary.pdft.http://www.njcleanenergy.com/files/file/Protocol%20and%20Engineering%20Estimate%20Summary.pdft

[15.] Pennsylvania Technical Reference Manual,. June 2016, p.. Page 27; available. Available at http://www.puc.pa.gov/pcdocs/1370278.docxt.http://www.puc.pa.gov/pcdocs/1370278.docxt


http://www.puc.pa.gov/pcdocs/1370278.docxt

http://www.njcleanenergy.com/files/file/Protocol%20and%20Engineering%20Estimate%20Summary.pdft

http://www.njcleanenergy.com/files/file/Protocol%20and%20Engineering%20Estimate%20Summary.pdft

Residential New Construction Program

Protocols

Single-Family, Multi-Single and Low-Rise Multifamily Building Shell[685.] Energy savings due to thermal shell and mechanical equipment improvements

in residential new construction and “gut” renovation projects are calculated using outputs from REM/Rate™ modeling software19. All program homes are modeled in REM/Rate to estimate annual energy consumption for heating, cooling, and hot water. Standards for energy efficient new construction in New Jersey are based on national platforms including IECC 2015, EPA ENERGY STAR® Certified New Homes Program, EPA ENERGY STAR Multifamily High-Rise Program (MFHR), and the DOE Zero Energy Ready Home (ZERH) Program

1062. Single-Family, Multi-Single (townhomes), Low-Rise Multifamily1063. The program home is then modeled to a baseline specification using

REM/Rate’s User Defined Reference Home (UDRH) feature. [686.] The RNC program currently specifies three standards for UDRH baseline

reference: IECC 2015 Energy Rating Index (for specification is for homes permitted on

orprior to and IECC 2015 for homes permitted after March 21, 2016) ENERGY STAR Certified Home v3.1 Zero Energy Ready Home &Zero Energy Home + RE

1064. 1065. The difference in modeled annual energy consumption between the program

and UDRH baseline home is the project savings for heating, hot water, cooling, lighting and appliance end uses. Coincident peak demand savings are also derived from REM/Rate modeled outputs.

[687.] algorithms that calculate energy and demand savings are as follows: [688.] [689.] Energy Savings = (Baseline home energy consumption – Program home

energy consumption)[690.]

[691.] table describes the baseline characteristics of Climate Zone 4 and 5 reference homes for single-family, multi-single and low-rise multifamily buildings.

[692.]

19 Accredited Home Energy Rating Systems (HERS) software, http://www.remrate.com/


[693.] REM/Rate User Defined Reference Homes Definition[694.] Applicable to buildings permitted prior to March 21, 2016 -- Reflects IECC 2009

[695.] N

[696.] Data Point [697.] Climate Zone 4 [698.] Climate Zone 5[699.] (

[700.] Ceiling Insulation [701.] U=0.030 [702.] U=0.030[703.] [704.] Radiant Barrier [705.] None [706.] None[707.] (

[708.] Rim/Band Joist [709.] U=0.082 [710.] U=0.057[711.] ( [712.] Exterior Walls -

Wood [713.] U=0.082 [714.] U=0.057[715.] ( [716.] Exterior Walls -

Steel [717.] U=0.082 [718.] U=.057 [719.] [720.] Foundation Walls [721.] U=0.059 [722.] U=0.059[723.] (

[724.] Doors [725.] U=0.35 [726.] U=0.35[727.] (

[728.] Windows [729.] U=0.35 , SHGC=NR [730.] U=0.35 , SHGC=NR[731.] (

[732.] Glass Doors [733.] U=0.35 , SHGC=NR [734.] U=0.35 , SHGC=NR[735.] (

[736.] Skylights [737.] U=0.60 , SHGC=NR [738.] U=0.60 , SHGC=NR[739.] (

[740.] Floor [741.] U=0.047 [742.] U=.033 [743.] [744.] Unheated Slab on

Grade [745.] R-10, 2 ft [746.] R-10, 2 ft[747.] [748.] Heated Slab on

Grade [749.] R-15, 2 ft [750.] R-15, 2 ft[751.] [752.] Air Infiltration

Rate [753.] 7 ACH50 [754.] 7 ACH50[755.]

[756.] Duct Leakage[757.] 8 cfm25 per 100ft2

CFA[758.] 8 cfm25 per 100ft2

CFA [759.] [760.] Mechanical

Ventilation [761.] None [762.] None[763.] [764.] Lights and

Appliances [765.] Use RESNET Default [766.] Use RESNET

Default


[693.] REM/Rate User Defined Reference Homes Definition[694.] Applicable to buildings permitted prior to March 21, 2016 -- Reflects IECC 2009

[767.] [768.] Thermostat [769.] Manual [770.] Manual[771.] [772.] Heating Efficiency [773.] [774.] [775.] (

[776.] Furnace [777.] 80% AFUE [778.] 80% AFUE[779.] [780.] Boiler [781.] 80% AFUE [782.] 80% AFUE[783.] [784.] Combo Water

Heater[785.] 76% AFUE

(Recovery Efficiency)[786.] 76% AFUE

(Recovery Efficiency)[787.] [788.] Air Source Heat

Pump [789.] 7.7 HSPF [790.] 7.7 HSPF[791.] [792.] Cooling Efficiency [793.] [794.] [795.] [796.] Central Air

Conditioning & Window AC units

[797.] 13.0 SEER [798.] 13.0 SEER

[799.] [800.] Air Source Heat Pump [801.] 13.0 SEER [802.] 13.0 SEER

[803.] ( [804.] Domestic WH

Efficiency [805.] [806.] [807.] [808.] Electric stand-

alone tank [809.] 0.90 EF [810.] 0.90 EF [811.] [812.] Natural Gas

stand-alone tank [813.] 0.58 EF [814.] 0.58 EF[815.] [816.] Electric

instantaneous [817.] 0.93 EF [818.] 0.93 EF[819.] [820.] Natural Gas

instantaneous [821.] 0.62 EF [822.] 0.62 EF[823.] [824.] Water Heater Tank

Insulation [825.] None [826.] None[827.] [828.] Duct Insulation,

attic supply [829.] R-8 [830.] R-8[831.] [832.] Duct Insulation, all

other [833.] R-6 [834.] R-6[835.] [836.] Active Solar [837.] None [838.] None[839.] [840.] Photovoltaics [841.] None [842.] None

[843.] [844.] [845.] UDRH Table Notes[846.]

[847.] (

[848.] U values represent total wall system U value, including all components (i.e., clear wall, windows, doors).[849.] Type A-1 - Detached one and two family dwellings.[850.] Type A-2 - All other residential buildings, three stories in height or less.

[851.] [852.] All frame floors shall meet this requirement. There is no requirement for floors


( over basements and/or unvented crawl spaces when the basement and/or unvented crawl space walls are insulated.

[853.] (

[854.] MEC 95 minimum requirement is 78 AFUE. However, 80 AFUE is adopted for New Jersey based on typical minimum availability and practice.

[855.] (

[856.] Based on the Federal Government standard for calculating EF (50 gallon assumed):

[857.] •Gas-fired Storage-type EF: 0.67 - (0.0019 x Rated Storage Volume in gallons)[858.] •Electric Storage-type EF: 0.97 - (0.00132 x Rated Storage Volume in gallons)[859.] •Instantaneous Gas-fired EF: 0.62 - (0.0019 x Rated Storage Volume in gallons)[860.] •Instantaneous Electric EF: 0.93 - (0.0013 x Rated Storage Volume in gallons)

[861.] [862.] REM/Rate User Defined Reference Homes Definition

[863.] Applicable to buildings permitted on or after March 21, 2016 -- Reflects IECC 2015

[864.] N

[865.] Data Point [866.] Climate Zone 4 [867.] Climate Zone 5[868.] (

[869.] Ceiling Insulation [870.] U= 0.026 [871.] U=0.026[872.] [873.] Radiant Barrier [874.] None [875.] None[876.] (

[877.] Rim/Band Joist [878.] U=0.060 [879.] U=0.060[880.] ( [881.] Exterior Walls -

Wood [882.] U=0.060 [883.] U=0.060[884.] ( [885.] Exterior Walls -

Steel [886.] U=0.060 [887.] U=0.060 [888.] [889.] Foundation Walls [890.] U=0.059 [891.] U=0.050[892.] (

[893.] Doors [894.] U=0.35 [895.] U=0.32[896.] (

[897.] Windows [898.] U=0.35 , SHGC=40 [899.] U=0.32 , SHGC=NR[900.] (

[901.] Glass Doors [902.] U=0.35 , SHGC=40 [903.] U=0.32 , SHGC=NR[904.] (

[905.] Skylights [906.] U=0.55 , SHGC=40 [907.] U=0.55 , SHGC=NR[908.] (

[909.] Floor [910.] U=0.047 [911.] U=.033


[862.] REM/Rate User Defined Reference Homes Definition[863.] Applicable to buildings permitted on or after March 21, 2016 -- Reflects IECC

2015

[912.] [913.] Unheated Slab on Grade [914.] R-10, 2 ft [915.] R-10, 2 ft

[916.] [917.] Heated Slab on Grade [918.] R-15, 2 ft [919.] R-15, 2 ft

[920.] ( [921.] Air Infiltration

Rate [922.] 7 ACH50 [923.] 7 ACH50[924.]

[925.] Duct Leakage[926.] 4 cfm25 per 100ft2

CFA[927.] 4 cfm25 per 100ft2

CFA [928.] [929.] Mechanical

Ventilation [930.] Exhaust only [931.] Exhaust only[932.] [933.] Lighting [934.] 75% efficient [935.] 75% efficient[936.]

[937.] Appliances [938.] Use RESNET Default [939.] Use RESNET

Default[940.] (

[941.] Thermostat [942.] Manual [943.] Manual[944.] [945.] Heating Efficiency [946.] [947.] [948.] (

[949.] Furnace [950.] 80% AFUE [951.] 80% AFUE[952.] [953.] Boiler [954.] 80% AFUE [955.] 80% AFUE[956.] [957.] Combo Water

Heater[958.] 76% AFUE

(Recovery Efficiency)[959.] 76% AFUE

(Recovery Efficiency)[960.] [961.] Air Source Heat

Pump [962.] 8.2 HSPF [963.] 8.2 HSPF[964.] [965.] Cooling Efficiency [966.] [967.] [968.] [969.] Central Air

Conditioning & Window AC units

[970.] 13.0 SEER [971.] 13.0 SEER

[972.] [973.] Air Source Heat Pump [974.] 14.0 SEER [975.] 14.0 SEER

[976.] ( [977.] Domestic WH

Efficiency [978.] [979.] [980.] [981.] Electric stand-

alone tank [982.] 0.90 EF [983.] 0.90 EF [984.] [985.] Natural Gas

stand-alone tank [986.] 0.60 EF [987.] 0.60 EF[988.] [989.] Electric

instantaneous [990.] 0.93 EF [991.] 0.93 EF[992.] [993.] Natural Gas [994.] 0.82 EF [995.] 0.82 EF


[862.] REM/Rate User Defined Reference Homes Definition[863.] Applicable to buildings permitted on or after March 21, 2016 -- Reflects IECC

2015instantaneous

[996.] [997.] Water Heater Tank Insulation [998.] None [999.] None

[1000.] [1001.] Duct Insulation, attic [1002.] R-8 [1003.] R-8

[1004.] [1005.] Duct Insulation, all other [1006.] R-6 [1007.] R-6

[1008.] [1009.] Active Solar [1010.] None [1011.] None[1012.] [1013.] Photovoltaics [1014.] None [1015.] None

[1016.] (

[1017.] U values represent total system U value, including all components (i.e., clear wall, windows, doors).

[1018.] Type A-1 - Detached one and two family dwellings.[1019.] Type A-2 - All other residential buildings, three stories in height or less.

[1020.] (

[1021.] All frame floors shall meet this requirement. There is no requirement for floors over basements and/or unvented crawl spaces when the basement and/or unvented crawl space walls are insulated.

[1022.] (

[1023.] Based on New Jersey’s amendment making the IECC 2015 requirement for air leakage testing optional, there is no empirical evidence that baseline new construction is achieving the 3 ACH50 tightness level through a visual inspection of checklist air sealing items.

[1024.] (

[1025.] While the code requires a programmable actual programming is an occupant behavior, both the rated home and reference home are set at fixed temperatures of 68 heating and 78 cooling, so that no savings are counted or lost

[1026.] (

[1027.] MEC 95 minimum requirement is 78 AFUE. However, 80 AFUE is adopted for New Jersey based on typical minimum availability and practice.

[1028.] (

[1029.] Based on the Federal Government standard for calculating EF (50 gallon assumed):

[1030.] •Gas-fired Storage-type EF: 0.675 - (0.0015 x Rated Storage Volume in gallons)

[1031.] •Electric Storage-type EF: 0.97 - (0.00132 x Rated Storage Volume in gallons)[1032.] •Instantaneous Gas-fired EF: 0.82 - (0.0019 x Rated Storage Volume in

gallons)[1033.] •Instantaneous Electric EF: 0.93 - (0.0013 x Rated Storage Volume in gallons


[1034.]

[1035.] Multifamily High Rise (MFHR) ProtocolsMultifamily High Rise (MFHR)

[1036.]

[1037.] Annual energy and summer coincident peak demand savings for MFHR construction projects (4–6 stories) shall be calculated from the Energy StarEPA Project Submittal document, 'As-Built Performance Path CalculatorCalculator' (PPC)20.). The PPC captures outputs from eQuest modeling software. Coincident peak demand is calculated only for the following end uses: space cooling, lighting, and ventilation. Clothes washer data cannot be parsed out of the PPC "Misc Equip' field. RNC coincident factors are applied to the MFHR demand savings.

1066.[1038.] Energy and demand savings are calculated using the following equations:

1067.[1039.] Energy Savings = Average Baseline energy (kWh and/or therms) - Proposed Design energy (kWh and/or therms)

1068.[1040.] Coincident peak demand = (Average Baseline non-coincident peak demand - Proposed Design non-coincident peak demand) * Coincidence Factor

1069.[1041.]

20 https://www.energystar.gov/index.cfm?c=bldrs_lenders_raters.nh_mfhr_guidance


ENERGY STAR Energy Efficient Products Program

1070.[1042.] Protocols1071. ENERGY STAR Appliances, ENERGY STAR Lighting, ENERGY STAR Windows,

and ENERGY STAR Audit[1043.] ENERGY STAR Appliances[1044.] Protocols[1045.] The following sections detail savings calculations ENERGY STAR Appliances and

Lighting Products.

1072. ENERGY STAR Appliances

1073. The general form of the equation for the ENERGY STAR Appliance Program measure savings algorithms is:

[1046.] Number of Units *X Savings per Unit

[1047.] To determine resource savings, the per unit estimates in the protocols will be multiplied by the number of appliance units. The number of units will be determined using market assessments and market tracking.

1074.[1048.] ENERGY STAR Refrigerators – CEE Tier 1 [1049.] Electricity SavingsImpact (kWh/yr) = ESavREF1

[1050.] Peak Demand SavingsImpact (kW) = DSavREF1 *x CFREF

1075.

1076.[1051.] ENERGY STAR Refrigerators – CEE Tier 2 [1052.] Electricity SavingsImpact (kWh/yr) = ESavREF2

[1053.] Peak Demand SavingsImpact (kW) = DSavREF2 *x CFREF

1077.

1078.[1054.] ENERGY STAR Clothes Washers – CEE Tier 1 [1055.] Electricity SavingsImpact (kWh/yr) = ESavCW1 [1056.] Peak Demand SavingsImpact (kW) = DSavCW1 *x CFCW

[1057.] Gas SavingsImpact (Therms/yr) = EGSavCW1

[1058.] Water SavingsImpact (gallons/yr) = WSavCW1

1079.

1080.[1059.] ENERGY STAR Clothes Washers – CEE Tier 2 [1060.] Electricity SavingsImpact (kWh/yr) = ESavCW2 [1061.] Peak Demand SavingsImpact (kW) = DSavCW2 *x CFCW

[1062.] Gas SavingsImpact (Therms/yr) = EGSavCW2

[1063.] Water SavingsImpact (gallons/yr) = WSavCW2

1081.

1082.[1064.] ENERGY STAR Set Top Boxes [Inactive 2017, Not Reviewed] 1083.[1065.] Electricity Impact (kWh) = ESavSTB

1084.[1066.] Demand Impact (kW) = DSavSTB x CFSTB

1085.


1086.[1067.] Advanced Power Strip – Tier 1 1087.[1068.] Electricity Impact (kWh) = ESavAPS

1088.[1069.] Demand Impact (kW) = DSavAPS x CFAPS

1089.

1090.[1070.] Advanced Power Strip – Tier 2 1091.[1071.] Electricity Impact (kWh) = ESavAPS2

1092.[1072.] Demand Impact (kW) = DSavAPS2 x CFAPS

1093.

1094.[1073.] ENERGY STAR Electric Clothes Dryers – Tier 1 [1074.] Electricity SavingsImpact (kWh/yr) = ESavCDE1

[1075.] Peak Demand SavingsImpact (kW) = DSavCDE1 *x CFCD

1095.[1076.]

1096.[1077.] ENERGY STAR Gas Clothes Dryers – Tier 1 [1078.] Electricity SavingsImpact (kWh/yr) = ESavCDG1

[1079.] Peak Demand SavingsImpact (kW) = DSavCDG1 *x CFCD

[1080.] Gas SavingsImpact (Therms/yr) = GSavCDG1

1097.[1081.] [1082.] ENERGY STAR 2014 Emerging Technology Award Electric Clothes Dryers – Tier

2[1083.] Electricity SavingsImpact (kWh/yr) = ESavCDE2

[1084.] Peak Demand SavingsImpact (kW) = DSavCDE2 x CFCD

1098.[1085.]

[1086.] ENERGY STAR 2014 Emerging Technology Award Gas Clothes Dryers – Tier 2 [1087.] Energy SavingsElectricity Impact (kWh/yr) = ESavCDG2

[1088.] Peak Demand SavingsImpact (kW) = DSavCDG2 x CFCD

[1089.] Gas SavingsImpact (Therms/yr) = GSavCDG2) = GSavCDG1

1099.[1090.] 1100. ENERGY STAR Room AC – Tier 1 [Inactive 2017, Not Reviewed] 1101.[1091.] Electricity Impact (kWh) = ESavRAC1

1102.[1092.] Demand Impact (kW) = DSavRAC1 1103.[1093.] 1104.[1094.] ENERGY STAR Room AC – Tier 2 [Inactive 2017, Not Reviewed] 1105.[1095.] Electricity Impact (kWh) = ESavRAC2

1106.[1096.] Demand Impact (kW) = DSavRAC2 1107.1108.[1097.] ENERGY STAR Room Air Purifier [Inactive 2017, Not Reviewed] 1109.[1098.] Electricity Impact (kWh) = ESavRAPDemand Savings (kW) 1110.[1099.] 1111.[1100.] Where ESavRAP is based on the CADR in table below


1112.[1101.] Room Air Purifier Deemed kWh Table

1113.[1102.] Clean Air

Delivery Rate

(CADR)

1114.[1103.] CADR

used in

calculation

1115.[1104.] Baseline

Unit Energ

y Consumption (kWh/year)

1116.[1105.] ENERGY STAR Unit

Energy Consump

tion (kWh/yea

r)

1117.[1106.] ESavRAP

1118.[1107.] CADR 51-

100

1119.[1108.] 75

1120.[1109.] 441

1121.[1110.] 148

1122.[1111.] 293

1123.[1112.] CADR 101-

150

1124.[1113.] 125

1125.[1114.] 733

1126.[1115.] 245

1127.[1116.] 488

1128.[1117.] CADR 151-

200

1129.[1118.] 175

1130.[1119.] 1025

1131.[1120.] 342

1132.[1121.] 683

1133.[1122.] CADR 201-

250

1134.[1123.] 225

1135.[1124.] 1317

1136.[1125.] 440

1137.[1126.] 877

1138.[1127.] CADR Over

250

1139.[1128.] 275

1140.[1129.] 1609

1141.[1130.] 537

1142.[1131.] 1072

1143.[1132.] 1144.[1133.] = DSavRAC2 is based on the CADR in the table below1145.[1134.]

1146.[1135.] Room Air Purifier Deemed kW Table

1147.[1136.] Clean Air Delivery Rate

1148.[1137.] DSavRAC2

1149.[1138.] CADR 51-100

1150.[1139.] 0.034

1151.[1140.] CADR 101-150

1152.[1141.] 0.056

1153.[1142.] CADR 151-200

1154.[1143.] 0.078

1155.[1144.] CADR 201-250

1156.[1145.] 0.101

1157.[1146.] CADR Over 250

1158.[1147.] 0.123


1159.[1148.] ENERGY STAR Freezer [Inactive 2017, Not Reviewed] 1160.[1149.] Electricity Impact (kWh) = ESavFRZ

1161.[1150.] Demand Impact (kW) = DSavFRZ based on table below1162.1163.[1151.] ENERGY STAR Soundbar [Inactive 2017, Not Reviewed] 1164.[1152.] Electricity Impact (kWh) = ESavSDB

1165.[1153.] Demand Impact (kW) = DSavSDB 1166.[1154.] [1155.] Definition of Variables Terms 1167.[1156.] [1157.] ESavREF1 = Electricity savings per purchased ENERGY STAR refrigerator – CEE Tier

1.1168.[1158.] DSavREF1 = Summer demand savings per purchased ENERGY STAR refrigerator –

CEE Tier 1.1169.[1159.] ESavREF2 = Electricity savings per purchased ENERGY STAR refrigerator – CEE

Tier 2.1170.[1160.] DSavREF2 = Summer demand savings per purchased ENERGY STAR refrigerator –

CEE Tier 2.1171.[1161.] ESavCW1 = Electricity savings per purchased ENERGY STAR clothes washer.1172.[1162.] DSavCW1 = Summer demand savings per purchased ENERGY STAR clothes

washer.1173.[1163.] GSavCW1 = Gas savings per purchased clothes washer ENERGY STAR clothes

washer.1174.[1164.] WSavCW1 = Water savings per purchased clothes washer ENERGY STAR clothes

washer.[1165.] ESavCW2 = Electricity savings per purchased CEE Tier 2 ENERGY STAR clothes

washer.[1166.] DSavCW2 = Summer demand savings per purchased CEE Tier 2 ENERGY STAR clothes

washer.[1167.] GSavCW2 = Gas savings per purchased CEE Tier 2 ENERGY STAR clothes washer[1168.] WSavCW2 = Water savings per purchased CEE Tier 2 ENERGY STAR clothes washer.1175.[1169.] ESavSTB = Electricity savings per purchased ENERGY STAR set top box.1176. DSavSTB = Summer demand savings per purchased ENERGY STAR set top box.1177. ESavAPS1 = Electricity savings per purchased advanced power strip.1178.[1170.] DSavAPS1 = Summer demand savings per purchased advanced power strip.1179.[1171.] ESavAPS2 = Electricity savings per purchased Tier 2 advanced power strip.1180.[1172.] DSavAPS2 = Summer demand savings per purchased Tier 2 advanced power

strip.1181.[1173.] ESavCDE1 = Electricity savings per purchased ENERGY STAR electric clothes

dryer.1182.[1174.] DSavCDE1 = Summer demand savings per purchased ENERGY STAR electric

clothes dryer.


1183.[1175.] ESavCDG1 = Electricity savings per purchased ENERGY STAR gas clothes dryer.[1176.] DSavCDG1 = Summersummer demand savings per purchased ENERGY STAR gas clothes

dryer.1184.[1177.] GSavCDG1 = Gas savings per purchased ENERGY STAR gas clothes dryer.[1178.] ESavCDE2 = Electricity savings per purchased Tier 2 ENERGY STAR electric clothes

dryer meeting the ENERGY STAR 2014 Emerging Technology Award criteria.[1179.] DSavCDE2 = Demand savings per purchased Tier 2 ENERGY STAR electric clothes

dryer. meeting the ENERGY STAR 2014 Emerging Technology Award criteria.[1180.] ESavCDG2 = Electricity savings per purchased Tier 2 ENERGY STAR gas clothes dryer

meeting the ENERGY STAR 2014 Emerging Technology Award criteria.[1181.] DSavCDG2 = Demand savings per purchased gas Tier 2clothes dryer meeting the

ENERGY STAR gas clothes dryer2014 Emerging Technology Award criteria.[1182.] GSavCDG2 = Gas savings per purchased Tier 2 ENERGY STAR gas clothes dryer,

meeting the ENERGY STAR 2014 Emerging Technology Award criteria.1185.[1183.] ESavRAC1 = Electricity savings per purchased ENERGY STAR room air

conditioner.1186.[1184.] DSav RAC1 = Summer demand savings per purchased ENERGY STAR room air

conditioner.1187.[1185.] ESavRAC1 = Electricity savings per purchased Tier 2 room air conditioner.1188.[1186.] DSav RAC2 = Summer demand savings per purchased Tier 2 room air conditioner.1189.[1187.] ESavRAC1 = Electricity savings per purchased ENERGY STAR room air purifier.1190.[1188.] DSav RAP = Summer demand savings per purchased ENERGY STAR room air

purifier.1191.[1189.] ESavFRZ = Electricity savings per purchased ENERGY STAR freezer.1192.[1190.] DSav FRZ = Summer demand savings per purchased ENERGY STAR freezer.1193.[1191.] ESavSDB = Electricity savings per purchased ENERGY STAR soundbar.1194.[1192.] DSavSDB = Summer demand savings per purchased ENERGY STAR soundbar1195.[1193.] TAF = Temperature Adjustment Factor1196.[1194.] LSAF = Load Shape Adjustment Factor1197.[1195.] CFREF, CFCW, , CFDH, CFRAC, , CFSTB, , , , CFAPS, CFCD = Summer demand

coincidence factor. 1198.[1196.] 1199. Summary of Inputs

1200. ENERGY STAR Appliances1201.[1197.] Comp

onent1202.[1198.]

Type1203.[1199.] Value 1204.[1200.]

Sources1205.[1201.] ESa

vREF1

1206.[1202.] Fixed

1207.[1203.] 59 kWh 1208.[1204.] 5

1209.[1205.] DSavREF1

1210.[1206.] Fixed

1211.[1207.] 0.007 kW 1212.[1208.] 5



1202.[1198.] Type

1203.[1199.] Value 1204.[1200.] Sources

1213.[1209.] ESavREF2

1214.[1210.] Fixed

1215.[1211.] 89 kWh 1216.[1212.] 5

1217.[1213.] DSavREF2

1218.[1214.] Fixed

1219.[1215.] 0.01 kW 1220.[1216.] 5

1221.[1217.] REF Time Period Allocation

Factors

1222.[1218.] Fixed

1223.[1219.] Summer/On-Peak 20.9%

1224.[1220.] Summer/Off-Peak 21.7%

1225.[1221.] Winter/On-Peak 28.0%

1226.[1222.] Winter/Off-Peak 29.4%

1227.[1223.] 1

1228.[1224.] ESavCW1

1229.[1225.] Fixed

1230.[1226.] 55 kWh 1231.[1227.] 2

1232.[1228.] GsavCW1

1233.[1229.] Fixed

1234.[1230.] 4.8 therms

1235.[1231.] 2

1236.[1232.] DSavCW1

1237.[1233.] Fixed

1238.[1234.] 0.005 kW 1239.[1235.] 2

1240.[1236.] WSavCW1

1241.[1237.] Fixed

1242.[1238.] 2175 gallons

1243.[1239.] 2

1244.[1240.] ESavCW2

1245.[1241.] Fixed

1246.[1242.] 61 kWh 1247.[1243.] 2

1248.[1244.] GsavCW2

1249.[1245.] Fixed

1250.[1246.] 9.00 therms

1251.[1247.] 2

1252.[1248.] DSavCW2

1253.[1249.] Fixed

1254.[1250.] 0.006 kW 1255.[1251.] 2

1256.[1252.] WSavCW2

1257.[1253.] Fixed

1258.[1254.] 2966 gallons

1259.[1255.] 2

1260.[1256.] CW, CD Electricity Time Period Allocation

Factors

1261.[1257.] Fixed

1262.[1258.] Summer/On-Peak 24.5%

1263.[1259.] Summer/Off-Peak 12.8%

1264.[1260.] Winter/On-Peak 41.7%

1265.[1261.] Winter/Off-Peak 21.0%

1266.[1262.] 1

1267.[1263.] CW, CD Gas Time

Period Allocation Factors

1268.[1264.] Fixed

1269.[1265.] Summer 50%

1270.[1266.] Winter 50%

1271.[1267.] 3



1202.[1198.] Type

1203.[1199.] Value 1204.[1200.] Sources

1272.[1268.] CFREF,

CFCW, CFSTB,

CFAPS, CFCD

1273.[1269.] Fixed

[1270.] 1.01.0, 1.0, 1.0, 1.0, 1.0, 1.0

1274.[1271.] 4

1275.[1272.] CFAC 1276.[1273.] Fixed

1277.[1274.] 0.31 1278.[1275.] 14

1279.[1276.] ESavSTB

1280.[1277.] Fixed

1281.[1278.] 44 kWh [1279.] 67

1282.[1280.] DSavSTB

1283.[1281.] Fixed

1284.[1282.] 0.005 kW [1283.] 67

1285.[1284.] ESavAPS1

1286.[1285.] Fixed

1287.[1286.] 102.8 kWh

1288.[1287.] 8

1289.[1288.] DSavAPS1

1290.[1289.] Fixed

1291.[1290.] 0.012 kW 1292.[1291.] 8

1293.[1292.] ESavAPS2

1294.[1293.] Fixed

1295.[1294.] 346 kWh 1296.[1295.] 9

1297.[1296.] DSavAPS2

1298.[1297.] Fixed

1299.[1298.] 0.039 kW 1300.[1299.] 9

1301.[1300.] APS, STB Time

Period Allocation

Factors

1302.[1301.] Fixed

1303.[1302.] Summer/On-Peak 16%


1305.[1304.] Winter/On-Peak 32%


1307.[1306.] 10

1308.[1307.] ESavCDE1

1309.[1308.] Fixed

1310.[1309.] 186 kWh 1311.[1310.] 12

1312.[1311.] DSavCDE1

1313.[1312.] Fixed

1314.[1313.] 0.016 kW 1315.[1314.] 12

1316.[1315.] ESavCDG1

1317.[1316.] Fixed

1318.[1317.] 9 kWh 1319.[1318.] 12

1320.[1319.] DSavCDG1

1321.[1320.] Fixed

1322.[1321.] 0.001 kW 1323.[1322.] 12

1324.[1323.] GSavCDG1

1325.[1324.] Fixed

1326.[1325.] 5.8 therms

1327.[1326.] 12

1328.[1327.] ESavCDE2

1329.[1328.] Fixed

1330.[1329.] 388 kWh 1331.[1330.] 12,13

1332.[1331.] DSavCDE2

1333.[1332.] Fixed

1334.[1333.] 0.029 kW 1335.[1334.] 12,13

1336.[1335.] ESavCDG2

1337.[1336.] Fixed

1338.[1337.] 42.94 kWh

1339.[1338.] 14



1202.[1198.] Type

1203.[1199.] Value 1204.[1200.] Sources

1340.[1339.] DSavCDG2

1341.[1340.] Fixed

1342.[1341.] 0.003 kW 1343.[1342.] 14

1344.[1343.] GSavCDG2

1345.[1344.] Fixed

1346.[1345.] 7.69 therms

1347.[1346.] 14

1348.[1347.] ESavRAC1

1349.[1348.] Fixed

1350.[1349.] 9 kWh 1351.[1350.] 14

1352.[1351.] DSavRAC1

1353.[1352.] Fixed

1354.[1353.] 0.008 1355.[1354.] 14

1356.[1355.] ESavRAC2

1357.[1356.] Fixed

1358.[1357.] 19.3 kWh 1359.[1358.] 14

1360.[1359.] DSavRAC2

1361.[1360.] Fixed

1362.[1361.] 0.018 1363.[1362.] 14

1364.[1363.] ESavRAP

1365.[1364.] Variable

1366.[1365.] Dependent on CARD

1367.[1366.]

1368.[1367.] DSavRAP

1369.[1368.] Variable

1370.[1369.] Dependent on CADR

1371.[1370.]

1372.[1371.] ESavFRZ

1373.[1372.] Fixed

1374.[1373.] 41.2 kWh 1375.[1374.] 14

1376.[1375.] DSavFRZ

1377.[1376.] Fixed

1378.[1377.] 0.0067 kW

1379.[1378.] 14

1380.[1379.] ESavSDB

1381.[1380.] Fixed

1382.[1381.] 44 kWh [1382.] 1514

1383. DSavSDB 1384. Fixed 1385. 0.0005 kW [1386.] 1514

1386.[1387.] TAF 1387.[1388.] Fixed

1388.[1389.] 1.23 1389.[1390.] 14

1390.[1391.] LSAF 1391.[1392.] Fixed

1392.[1393.] 1.15 1393.[1394.] 14

1394.[1395.] [1396.] Sources :

[1.] Time period allocation factors used in cost-effectiveness analysis. From residential appliance load shapes.

[2.] Clothes washer energy and water savings estimates are based on clothes washers that exceed the federal standard with a shipment weighted average measured integrated modified energy factor (IMEF) of 1.66 and integrated water factor (IWF) of 5.92 versus that of ENERGY STAR models with IMEF of 2.26 and of 3.93 and CEE Tier 2 models at IMEF of 2.74 and WF of 3.21. See Mid-Atlantic Technical Reference Manual Version 5.0 April 2015 p.page 209 available at http://www.neep.org/mid-atlantic-technical-reference-manual-v5. This assumes 87% of participants have gas water heating and 56% have gas drying (the balance being electric) based on 2009 RECS data for New Jersey. Demand savings are calculated based on 317 annual cycles from 2009 RECS data for New Jersey. See 2009 RECS Table HC8.8 Water Heating in U.S. Homes in Northeast


http://www.neep.org/mid-atlantic-technical-reference-manual-v5


Region, Divisions, and States and Table HC3.8 Home Appliances in Homes in Northeast Region, Divisions, and States.

1.[3.] Prorated based on 6 months in the summer period and 6 months in the winter period. 2.[4.] The coincidence of average appliance demand to summer system peak equals 1 for

demand impacts for all appliances reflecting embedded coincidence in the DSav factor.[5.] ENERGY STAR and CEE Tier 2 refrigerator savings are based on refrigerators that

exceed the federal standard with a shipment weighted average 2014 measured energy use of 592 kWh versus 533 kWh and 503 kWh respectively for eligible ENERGY STAR and CEE Tier 2 models. Demand savings estimated based on a flat 8760 hours of use during the year. Energy Star Ref: https://data.energystar.gov/Active-Specifications/ENERGY-STAR-Certified-Residential-Refrigerators/p5st-her9 CEE Tier 2 Ref: http://library.cee1.org/content/qualifying-product-lists-residential-refrigerators.http://library.cee1.org/content/qualifying-product-lists-residential-refrigerators

[6.] Energy savings represent the difference between the weighted average eligible ENERGY STAR V4.1 models (132 kWh) and minimum requirements of the 2012 voluntary agreement established by the cable industry and tied to ENERGY STAR V3.0 (88 kWh). Demand savings estimated based on a flat 8760 hours of use during the year. On average, demand savings are the same for both Active and Standby states and is based on 8760 hours usage.

3.[7.] Set top box lifetimes: National Resource Defense Counsel, Cable and Satellite Set-Top Boxes Opportunities for Energy Savings, 2005. http://www.nrdc.org/air/energy/energyeff/stb.pdf

[8.] 2010 NYSERDA Measure Characterization for Advanced Power Strips; study. Study based on review of:

a. Smart Strip Electrical Savings and Usability, Power Smart Engineering, October 27, 2008.

[b.] Final Field Research Report, Ecos Consulting, October 31, 2006; prepared. Prepared for California Energy Commission’s PIER Program.

[c.] Developing and Testing Low Power Mode Measurement Methods, Lawrence Berkeley National Laboratory (LBNL), September 2004; prepared. Prepared for California Energy1395.[1397.] Commission’s Public Interest Energy Research (PIER) Program.

[d.] 2005 Intrusive Residential Standby Survey Report, Energy Efficient Strategies, March, 2006.

[9.] Energy savings estimates are based on a California Plug Load Research Center report, “Tier 2 Advanced Power Strip Evaluation for Energy Saving Incentive.” Demand savings estimated based on a flat 8760 hours of use during the year. Savings for Tier 2 APS are temporarily included pending additional support.

4.[10.] 2011 Efficiency Vermont Load shape for Advanced Power Strips.[11.] Advanced Power Strip Measure Life: David Rogers, Power Smart Engineering, October

2008: "Smart Strip electrical savings and usability,” p 22", p22. [1398.] Clothes dryer energy and demand savings are based on NEEP, Mid-Atlantic

Technical Reference Manual, V6, May 2016.


http://www.nrdc.org/air/energy/energyeff/stb.pdf

http://library.cee1.org/content/qualifying-product-lists-residential-refrigerators

https://data.energystar.gov/Active-Specifications/ENERGY-STAR-Certified-Residential-Refrigerators/p5st-her9

https://data.energystar.gov/Active-Specifications/ENERGY-STAR-Certified-Residential-Refrigerators/p5st-her9

5. Version 5.0 April 2015 page 237 available at http://www.neep.org/mid-atlantic-technical-reference-manual-v5. Demand savings are calculated based on 297 annual cycles from 2009 RECS data for New Jersey (See RECS 2009 Table HC3.8 Home Appliances in Homes in Northeast Region, Divisions, and States) and an average 10.4 lb load based on paired ENERGY STAR washers. Available at http://www.neep.org/mid-atlantic-technical-reference-manual-v5.

6.[12.] Savings for clothes dryers meeting the 2014 Emerging Technology Award criteria assume an average of measured performance and a 50% usage of both normal and most efficient dryer settings for eligible models.

7. Clothes dryer energy and demand savings are based on NEEP, Mid-Atlantic Technical Reference Manual, V6, May 2016.1396.

[13.] Mid-Atlantic TRM V5[14.] Mid-Atlantic TRM V6 Draft[1399.]

[1400.] Residential ENERGY STAR Lighting[1401.] Savings from the installation of screw-in ENERGY STAR CFLs, ENERGY STAR

LED lamps, ENERGY STAR fluorescent torchieres, ENERGY STAR specialty LED fixtures, ENERGY STAR fixtures are based on a straightforward algorithm that calculates the difference between existing and new wattage, and the average daily hours of usage for the lighting unit being replaced.

[1402.] The coincidence factor (CF) discounts the peak demand savings to reflect the kW reduction realized during the summer on-peak demand period. This is based on typical operating schedules for the geographical area covered by the program.

[1403.] HVAC interactive factors are applied to capture the additional savings or penalty associated with the impact of lighting measures on the building’s HVAC system. A reduction in lighting load will result in additional cooling savings during the summer period, and a gas heating penalty during the winter period.

[1404.] Protocols[1405.] [1406.] Savings from installation of screw-in ENERGY STAR CFLs, ENERGY STAR

fluorescent torchieres, ENERGY STAR indoor fixtures and ENERGY STAR outdoor fixtures are based on a straightforward algorithm that calculates the difference between existing and new wattage, and the average daily hours of usage for the lighting unit being replaced. An “in-service” rate is used to reflect the fact that not all lighting products purchased are actually installed.

[1407.] [1408.] The general form of the equation for the ENERGY STAR or other high efficiency

lighting energy savings algorithm is:[1409.] [1410.] Number of Units X Savings per Unit






[1411.] [1412.] Per unit savings estimates are derived primarily from a 2004 Nexus Market Research

report evaluating similar retail lighting programs in New England (MA, RI and VT). Per unit savings will decrease for CFLs in operation after 2012 due to the effects of federal minimum efficiency standards for incandescent lighting. Because CFLs typically have rated lifespans of 6-8000 hours (5-7 years) and incandescent light bulbs are rated at 1000 hours (1 year), after 2013 there will be less of a difference between CFLs in service and the incandescents that they would have been replacing.

[1413.] [1414.] National lighting efficiency standards are being increased according to the Energy

Independence and Security Act of 2007 (EISA).21 EISA pertains to the efficiency of newly manufactured bulbs, not existing stock. Existing Protocol baselines and measure lifetimes will remain until the impact of the standard can be fully measured and quantified. The future EISA wattage standards are:

[1415.] [1416.] EISA Phase 1 Standard for General Service Bulbs[1417.]

Rated Lumen Ranges Maximum Rate Wattage

Minimum Rate Lifetime Effective Date

Efficacy Ranges (lumens per

watt) 1490-2600 (~90W –

150W) 72 1000 hrs 1/1/2012 21 – 36

1050-1489 (~75W – 90W) 53 1000 hrs 1/1/2013 20 – 28 750-1049 (~60W – 75W) 43 1000 hrs 1/1/2014 17 – 24 310-749 (~30W – 60W) 29 1000 hrs 1/1/2014 11 – 26

[1418.] [1419.] [1420.] ENERGY STAR CFL Standard and Specialty Bulbs [1421.]

[1422.] Standard CFL Wattage Equivalency 1

[1423.] [1424.] Specialty CFL Wattage Equivalency 1

[1425.] [1426.] Energy Savings (kWh) = (CFLwatts[CFLbase – CFLee]/1000) X CFLhours X 365 X CFLISR

[1427.] [1428.] Demand Savings (kW) = ([CFLbase – CFLee]CFLwatts/1000) X CF X CFLISR [1429.]

[1430.] ENERGY STAR LED Recessed Downlights & Integral Lamps /Fixtures [1431.]

[1432.] LED Fixture Wattage Equivalency

[1433.]

21 EISA information available at http://www1.eere.energy.gov/femp/regulations/eisa.html


http://www1.eere.energy.gov/femp/regulations/eisa.html

[1434.] Energy Savings (kWh) = (([LEDbase – LEDee] / 1000) X LEDHours X 365 X LEDISR

[1435.] [1436.] Demand Savings (kW) = ([LEDbase – LEDee] /1000) X CF X LEDISR

[1437.] [1438.] Definition of Terms[1439.] [1440.] CFLbase = Based on lumens of the CFL bulb[1441.] [1442.] CFLee = Actual wattage of CFL purchased/installed[1443.] [1444.] CFLhours = Average hours of use per day per CFL[1445.] [1446.] CFBulb = Summer demand coincidence factor for CFLs and LEDs[1447.] [1448.] CFLISR = In-service rate per CFL[1449.] [1450.] [1451.] CFFixtures = Summer demand coincidence factor for CFL fixtures. [1452.] [1453.] LEDbase = Based on lumens of the LED[1454.] [1455.] LEDee = Actual wattage of LED purchased/installed[1456.] [1457.] LEDhours = Average hours of use per day per LED recessed downlight or integral

lamp[1458.] [1459.] LEDISR = In-service rate per LED recessed downlight or integral lamp[1460.] [1461.] LEDFbase = Based on lumens of the LED Fixture[1462.] [1463.] LEDFee = Actual wattage of LED Fixture purchased/installed[1464.] [1465.] LEDFhours = Average hours of use per day per LED Fixture recessed downlight or

integral lamp[1466.] [1467.] LEDFISR = In-service rate per LED Fixture recessed downlight or integral lamp[1468.] [1469.]

[1470.] ENERGY STAR Lighting[1471.] Compon

ent[1472.] Type [1473.] Value [1474.] S

ources

[1475.] CFLbase [1476.] Variable [1477.] Based on lumens

[1478.] 8

[1479.] CFLee [1480.] Variable [1481.] Actual bulb wattage

[1482.]


[1471.] Component

[1472.] Type [1473.] Value [1474.] Sources

[1483.] CFLhours [1484.] Fixed [1485.] 2.8 [1486.] 6[1487.] CFLISR [1488.] Fixed [1489.] 83.4% [1490.] 5[1491.] CFBulb [1492.] Fixed [1493.] 9.9 % [1494.] 4[1495.] LEDwatts [1496.] Variable [1497.] Based on

lumens[1498.] 8

[1499.] LEDee [1500.] Variable [1501.] Actual bulb wattage

[1502.]

[1503.] LEDhours [1504.] Fixed [1505.] 2.8 [1506.] 6[1507.] LEDISR [1508.] Fixed [1509.] 100% [1510.] 7[1511.] CFLED [1512.] Fixed [1513.] 8.2% [1514.] [1515.] LEDFwatts [1516.] Variable [1517.] Based on

lumens[1518.] 8

[1519.] LEDFee [1520.] Variable [1521.] Actual fixture wattage

[1522.]

[1523.] LEDFhours

[1524.] Fixed [1525.] 2.8 [1526.] 6

[1527.] LEDFISR [1528.] Fixed [1529.] 100% [1530.] 7[1531.] CFLEDF [1532.] Fized [1533.] 8.2% [1534.]

[1535.] [15.] SourcesNEEP, Mid-Atlantic Technical Reference Manual, V6, May 2016.1397.


[1536.] Nexus Market Research, “Impact Evaluation of the Massachusetts, Rhode Island and Vermont 2003 Residential Lighting Programs”, Final Report, October 1, 2004, p. 43 (Table 4-9) The delta watts are reduced by 22.2% in the same proportion to individual CFLs (48.5W to 32.9W) following full enactment of EISA requirements.

[1537.] US Department of Energy, Energy Star Calculator.

[1538.] Nexus Market Research, “Impact Evaluation of the Massachusetts, Rhode Island and Vermont 2003 Residential Lighting Programs”, Final Report, October 1, 2004. p. 42 (Table 4-7). These values reflect both actual installations and the % of units planned to be installed within a year from the logged sample. The logged % is used because the adjusted values (i.e. to account for differences between logging and telephone survey samples) were not available for both installs and planned installs. However, this seems appropriate because the % actual installed in the logged sample from this table is essentially identical to the % after adjusting for differences between the logged group and the telephone sample (p. 100, Table 9-3).

[1539.] RLW Analytics, “Development of Common Demand Impacts for Energy Efficiency Measures/Programs for the ISO Forward Capacity Market (FCM)”, prepared for the New England State Program Working Group (SPWG), March 25, 2007, p. IV.

[1540.] The average wattage (18.4W) of the standard CFL established in the 2009 “NJCEP Residential CFL Impact Evaluation and Protocol Review”, September 28, 2008, p.3-8 (Table 3-6) is adjusted by a post-EISA multiplier (1.79) of the 2014 Mid-Atlantic Technical Reference Manual V4.0 for calculating the new delta watts after the incandescent bulb wattage is reduced (from 100W to 72W in 2012, 75W to 53W in 2013 and 60W to 43W and 40W to 29W in 2014).

[1541.] RLW Analytics, New England Residential Lighting Markdown Impact Evaluation, January 20, 2009.

[1542.] For determining demand savings the baseline was adopted from 2009 KEMA evaluation and represents the replacement of a 65W BR30 downlight and high efficiency is the average of ENERGY STAR qualified downlights (11/10/2009) with lighting output exceeding 475 lumens. Due to the high incremental cost and limited market availability of products, the higher ISR reflects the assumption that every LED downlight purchased is directed towards immediate use.

[1543.] Mid-Atlantic TRM V5

[1544.]

[1545.] Home Energy Reporting System

[1546.] Protocols[1547.]


[1548.] The purpose of the program is to provide information and tools that residential customers can use to make decisions about what actions to take to improve energy efficiency in their homes. The information is mailed in reports separately from a utility’s regular bill to create a neighbor-to-neighbor comparison where homes of similar size are compared to each other, as well as targeting energy saving tips to individuals. The quantity and timing of mailed reports will vary by utility and fuel type.

[1549.]

[1550.] Home Energy Reporting System[1551.] Gas Savings (Therms) = GSavHERS

[1552.] Residential ENERGY STAR Lighting1398.1399.[1553.] Savings from the installation of screw-in ENERGY STAR CFLs, ENERGY

STAR LED lamps, ENERGY STAR fluorescent torchieres, ENERGY STAR specialty LED fixtures, ENERGY STAR fixtures are based on a straightforward algorithm that calculates the difference between existing and new wattage, and the average daily hours of usage for the lighting unit being replaced.

1400. The coincidence factor (CF) discounts the peak demand savings to reflect the kW reduction realized during the summer on-peak demand period. This is based on typical operating schedules for the geographical area covered by the program.

1401. HVAC interactive factors are applied to capture the additional savings or penalty associated with the impact of lighting measures on the building’s HVAC system. A reduction in lighting load will result in additional cooling savings during the summer period, and a gas heating penalty during the winter period.

1402. [1554.] Algorithms1403.

1404.[1555.] ❑❑

()❑()❑❑❑

()❑❑

1405.

1406. ( )❑()❑❑❑

()❑❑

1407.

1408. (❑❑ ) ()❑()❑❑❑

()❑❑

1409.1410.[1556.] Definition of Variables1411. Wattsb = Wattage of baseline connected fixture or lamp1412. Wattsq = Wattage of qualifying connected fixture or lamp1413. Qtyb= Quantity of baseline fixtures or lamps


1414. Qtyq = Quantity of energy-efficient fixtures or lamps1415. Hrs = Annual lighting operating hours1416. CF = Coincidence factor1417. HVACe = HVAC interaction factor for annual energy savings1418. HVACd = HVAC interaction factor for peak demand reduction1419. HVACg = HVAC interaction factor for annual gas fuel consumption

1420. Summary of Inputs

1421. Residential ENERGY STAR Lighting1422. Compon

ent1423.[1557.]

Type1424.[1558.] Value [1559.] S

ourcesSource

1426.[1561.] Wattsb

1427. V ariab

le1428. See Tables below 1429. 1

1431. Wattsq

1432. V ariab

le

1433. Actual Lamp/Fixture Wattage

1434. A pplication

1436. Qtyb 1437. V ariab

le

1438. Actual Lamp/Fixture Quantity

1439. A pplication

1441. Qtyq 1442. V ariab

le

1443. Actual Lamp/Fixture Quantity

1444. A pplication

1446. Hrs1447. V

ariable

1448. Interior: 1,205 hrs22 1449. Exterior: 2,007 hrs23

1450. 2

1452. C FGsavHERS

[1562.] Fixed [1563.] 0.0813.1 therms [1564.] 3

24 11454.[1566.] H 1455. V 1456. See Tables below 1457. 4

22 From EVT TRM 2015: “The hours of use for this measure are based on the assumption that these will be installed in the highest use locations due to their high cost. Residential hours of use are based on average daily hours of use of 3.3, from Table 3-5, p. 43, value for Living Space for Upstate New York, from NMR Group, Inc., Northeast Residential Lighting Hours-of-Use Study, prepared for CT Energy Efficiency Board, Cape Light Compact, Massachusetts Energy Efficiency Advisory Council, National Grid MA, National Grid RI, NYSERDA, Northeast Utilities, May 5, 2014.” 23 From EVT TRM 2015 : “Based on average daily hours of use of 5.5 for exterior lighting, from Table 3-1, p. 34 for Upstate New York from NMR Group, Inc., Northeast Residential Lighting Hours-of-Use Study, prepared for CT Energy Efficiency Board, Cape Light Compact, Massachusetts Energy Efficiency Advisory Council, National Grid MA, National Grid RI, NYSERDA, Northeast Utilities, May 5, 2014.”


1422. Component

1423.[1557.] Type


VACeariab

le25

1458. HVACd

1459. V ariab


2

1462. HVACg

1463. V ariab


2

1466.1467.[1567.] HVAC Interactive Factors

1468.

HVACe HVACd HVACg HVACe HVACd HVACg HVACe HVACd HVACg HVACe HVACd HVACg HVACe HVACd HVACgSingle Family Residential

0.077 0.085 -0.023 -0.105 0.111 0.000 -0.579 0.085 0.000 -0.403 0.000 0.000 0.000 0.000 -0.023

Multi-Family Low Rise

0.055 0.136 -0.016 -0.064 0.163 0.000 -0.260 0.136 0.000 -0.320 0.000 0.000 -0.005 0.000 -0.016

Building Type AC with gas heat Heat Pump AC with electric heat Electric heat only Gas heat only

1469.

HVACe HVACd HVACg HVACe HVACd HVACgMulti-Family High Rise

0.101 0.194 0.021 0.000 0.000 0.024

Building Type Fan coil with chiller and hot water boiler

Steam heat only

1470. Standard CFL Lamp Wattage Equivalency1471. Min

imum Lumens

1472. Maximum

Lumens 1473. Wattsb

1474. Sources: [1568.] The

average natural

gas4000

1475. 6000 1476. 300

1477. 3001

1478. 3999 1479. 200

1480. 2550

1481. 3000 1482. 150

24 From NY TRM 2016, for NYC due to proximity to NJ. From the NY TRM: “The coincidence factors were derived from an examination of studies throughout New England that calculated coincident factors based on the definition of system peak period at the time, as specified by the New England Power Pool and later, ISO-New England.”25 From NY TRM 2016, for NYC due to proximity to NJ; for single family residential and multi-family low rise


1483. 2000

1484. 2549 1485. 125

1486. 1600

1487. 1999 1488. 72

1489. 1100

1490. 1599 1491. 53

1492. 800 1493. 1099 1494. 431495. 450 1496. 799 1497. 291498. 250 1499. 449 1500. 25

1501. CFL Lamp Wattage Equivalency

1502. Bulb Type

1503. Lower

Lumen Range

1504. U pper Lume

n Rang

e1505. W

attsb

1506. 3-Way

1507. 250 1508. 449

1509. 2 5

1511.[1570.] 450

1512. 799

1513. 4 0

1515.[1572.] 800

1516. 1099

1517. 6 0

1519.[1574.] 1100

1520. 1599

1521. 7 5

1523.[1576.] 1600

1524. 1999

1525. 1 00

1527.[1578.] 2000

1528. 2549

1529. 1 25

1531.[1580.] 2550

1532. 2999

1533. 1 50

1534. Globe1535. (medium and intermediate bases less

than 750 lumens)

1536. 90 1537. 179

1538. 1 0

1540.[1582.] 180

1541. 249

1542. 1 5

1544.[1584.] 250

1545. 349

1546. 2 5

1548.[1586.] 350

1549. 749

1550. 4 0

1551. Decorative1552. (Shapes B, BA, C,

CA, DC, F, G, medium and intermediate bases

1553. 70 1554. 89 1555. 1 0

1557.[1588.] 90

1558. 149

1559. 1 5


1502. Bulb Type

1503. Lower

Lumen Range

1504. U pper Lume

n Rang

e1505. W

attsb

less than 750 lumens)

1561.[1590.] 150

1562. 299

1563. 2 5

1565.[1592.] 300

1566. 749

1567. 4 0

1568. Globe1569. (candelabra bases less

than 1050 lumens)

1570. 90 1571. 179

1572. 1 0

1574.[1594.] 180

1575. 249

1576. 1 5

1578.[1596.] 250

1579. 349

1580. 2 5

1582.[1598.] 350

1583. 499

1584. 4 0

1586.[1600.] 500

1587. 1049

1588. 6 0


CA, DC, F, G, candelabra bases less than 1050

lumens)

1591. 70 1592. 89 1593. 1 0

1595.[1602.] 90

1596. 149

1597. 1 5

1599.[1604.] 150

1600. 299

1601. 2 5

1603.[1606.] 300

1604. 499

1605. 4 0

1607.[1608.] 500

1608. 1049

1609. 6 0

1610. Reflector with medium screw bases w/ diameter

<=2.25"

1611. 400 1612. 449

1613. 4 0

1615.[1610.] 450

1616. 499

1617. 4 5

1619.[1612.] 500

1620. 649

1621. 5 0

1623.[1614.] 650

1624. 1199

1625. 6 5

1626. R, PAR, ER, BR, BPAR or similar bulb shapes with medium

screw bases w/ diameter >2.5" (*see exceptions

1627. 640 1628. 739

1629. 4 0

1631.[1616.] 740

1632. 849

1633. 4 5

1635.[1618.] 1636. 11 1637. 5


1502. Bulb Type

1503. Lower

Lumen Range

1504. U pper Lume

n Rang

e1505. W

attsb

below)

850 79 01639.[1620.]

11801640. 14

191641. 6

51643.[1622.]

14201644. 17

891645. 7

51647.[1624.]

17901648. 20

491649. 9

01651.[1626.]

20501652. 25

791653. 1

001655.[1628.]

25801656. 34

291657. 1

201659.[1630.]

34301660. 42

701661. 1

50


screw bases w/ diameter > 2.26'' and ≤ 2.5" (*see

exceptions below)

1663. 540 1664. 629

1665. 4 0

1667. 630 1668. 719

1669. 4 5

1671.[1632.] 720

1672. 999

1673. 5 0

1675.[1634.] 1000

1676. 1199

1677. 6 5

1679.[1636.] 1200

1680. 1519

1681. 7 5

1683.[1638.] 1520

1684. 1729

1685. 9 0

1687.[1640.] 1730

1688. 2189

1689. 1 00

1691.[1642.] 2190

1692. 2899

1693. 1 20

1695.[1644.] 2900

1696. 3850

1697. 1 50

1698. *ER30, BR30, BR40, or ER40

1699. 400 1700. 449

1701. 4 0

1703.[1646.] 450

1704. 499

1705. 4 5

1707. 500 1708. >6 1709. 5


1502. Bulb Type

1503. Lower

Lumen Range

1504. U pper Lume

n Rang

e1505. W

attsb

49 01710. *BR30, BR40, or

ER401711. 650 1712. 14

191713. 6

5

1714. *R20

1715. 400 1716. 449

1717. 4 0

1719.[1649.] 450

1720. 719

1721. 4 5

1722. *All reflector lamps1723. below lumen ranges

specified above

1724. 200 1725. 299

1726. 2 0

1728. 300 1729. >399

1730. 3 0

1731. 1732. LED Downlight Fixture Wattage Equivalency

1733. Bulb Type

1734. Lower

Lumen Range

1735. U pper Lume

n Rang

e1736. W

attsb


<=2.25"

1738. 400 1739. 449

1740. 4 0

1742. 450 1743. 499

1744. 4 5

1746. 500 1747. 649

1748. 5 0

1750. 650 1751. 1199

1752. 6 5



below)

1754. 640 1755. 739

1756. 4 0

1758. 740 1759. 849

1760. 4 5

1762. 850 1763. 1179

1764. 5 0

1766. 1180

1767. 1419

1768. 6 5

1770. 1420

1771. 1789

1772. 7 5


1733. Bulb Type

1734. Lower

Lumen Range

1735. U pper Lume

n Rang

e1736. W

attsb

1774. 1790

1775. 2049

1776. 9 0

1778. 2050

1779. 2579

1780. 1 00

1782. 2580

1783. 3429

1784. 1 20

1786. 3430

1787. 4270

1788. 1 50



exceptions below)

1790. 540 1791. 629

1792. 4 0

1794. 630 1795. 719

1796. 4 5

1798. 720 1799. 999

1800. 5 0

1802. 1000

1803. 1199

1804. 6 5

1806. 1200

1807. 1519

1808. 7 5

1810. 1520

1811. 1729

1812. 9 0

1814. 1730

1815. 2189

1816. 1 00

1818. 2190

1819. 2899

1820. 1 20

1822. 2900

1823. 3850

1824. 1 50

1825. *ER30, BR30, BR40, or ER40

1826. 400 1827. 449

1828. 4 0

1830.[1652.] 450

1831. 499

1832. 4 5

1834. 500 1835. >649

1836. 5 0

1837. *BR30, BR40, or ER40

1838. 650 1839. 1419

1840. 6 5

1841. *R201842. 400 1843. 44

91844. 4

01846.[1655.] 4 1847. 71 1848. 4


1733. Bulb Type

1734. Lower

Lumen Range

1735. U pper Lume

n Rang

e1736. W

attsb

50 9 5


specified above

1851. 200 1852. 299

1853. 2 0

1855. 300 1856. >399

1857. 3 0

1858. LED Lamp Wattage Equivalency 1859. Bulb Type 1860. Lo

wer Lumen Range

1861. U pper Lume

n Rang

e

1862. W attsb

1863. Standard

1864. 2501865. 44

91866. 2

51868.[1658.]

4501869. 79

91870. 2

91872.[1660.]

8001873. 10

991874. 4

31876.[1662.]

11001877. 15

991878. 5

31880.[1664.]

16001881. 19

991882. 7

21884.[1666.]

20001885. 25

491886. 1

251888.[1668.]

25501889. 30

001890. 1

501892.[1670.]

30011893. 39

991894. 2

001896.[1672.]

40001897. 60

001898. 3

00

1899. 3-Way

1900. 250 1901. 449

1902. 2 5

1904.[1674.] 450

1905. 799

1906. 4 0

1908.[1676.] 800

1909. 1099

1910. 6 0

1912.[1678.] 1913. 15 1914. 7


1859. Bulb Type 1860. Lower

Lumen Range

1861. U pper Lume

n Rang

e

1862. W attsb

1100 99 51916.[1680.]

16001917. 19

991918. 1

001920.[1682.]

20001921. 25

491922. 1

251924.[1684.]

25501925. 29

991926. 1

50

1927. Globe1928. (medium and intermediate bases less

than 750 lumens)

1929. 90 1930. 179

1931. 1 0

1933.[1686.] 180

1934. 249

1935. 1 5

1937.[1688.] 250

1938. 349

1939. 2 5

1941.[1690.] 350

1942. 749

1943. 4 0


CA, DC, F, G, medium and intermediate bases less than 750 lumens)

1946. 70 1947. 89 1948. 1 0

1950.[1692.] 90

1951. 149

1952. 1 5

1954.[1694.] 150

1955. 299

1956. 2 5

1958.[1696.] 300

1959. 749

1960. 4 0

1961. Globe1962. (candelabra bases less

than 1050 lumens)

1963. 90 1964. 179

1965. 1 0

1967. 180 1968. 249

1969. 1 5

1971. 250 1972. 349

1973. 2 5

1975. 350 1976. 499

1977. 4 0

1979. 500 1980. 1049

1981. 6 0


CA, DC, F, G, candelabra

1984. 70 1985. 89 1986. 1 0

1988. 90 1989. 14 1990. 1



Lumen Range

1861. U pper Lume

n Rang

e

1862. W attsb

bases less than 1050 lumens)

9 51992. 150 1993. 29

91994. 2

51996. 300 1997. 49

91998. 4

02000. 500 2001. 10

492002. 6

0


<=2.25"

2004. 400 2005. 449

2006. 4 0

2008.[1698.] 450

2009. 499

2010. 4 5

2012.[1700.] 500

2013. 649

2014. 5 0

2016.[1702.] 650

2017. 1199

2018. 6 5



below)

2020. 640 2021. 739

2022. 4 0

2024.[1704.] 740

2025. 849

2026. 4 5

2028.[1706.] 850

2029. 1179

2030. 5 0

2032.[1708.] 1180

2033. 1419

2034. 6 5

2036.[1710.] 1420

2037. 1789

2038. 7 5

2040.[1712.] 1790

2041. 2049

2042. 9 0

2044.[1714.] 2050

2045. 2579

2046. 1 00

2048.[1716.] 2580

2049. 3429

2050. 1 20

2052.[1718.] 3430

2053. 4270

2054. 1 50


2056. 540 2057. 629

2058. 4 0

2060. 630 2061. 71 2062. 4



Lumen Range

1861. U pper Lume

n Rang

e

1862. W attsb


exceptions below)

9 52064.[1720.]

7202065. 99

92066. 5

02068.[1722.]

10002069. 11

992070. 6

52072.[1724.]

12002073. 15

192074. 7

52076.[1726.]

15202077. 17

292078. 9

02080.[1728.]

17302081. 21

892082. 1

002084.[1730.]

21902085. 28

992086. 1

202088.[1732.]

29002089. 38

502090. 1

50

2091. *ER30, BR30, BR40, or ER40

2092. 400 2093. 449

2094. 4 0

2096.[1734.] 450

2097. 499

2098. 4 5

2100. 500 2101. >649

2102. 5 0

2103. *BR30, BR40, or ER40

2104. 650 2105. 1419

2106. 6 5

2107. *R20

2108. 400 2109. 449

2110. 4 0

2112.[1737.] 450

2113. 719

2114. 4 5


specified above

2117. 200 2118. 299

2119. 2 0

2121. 300 2122. >399

2123. 3 0

2124. 2125. Specialty LED Fixtures

2126. Some LED products do not allow for a fixture-to-fixture comparison due to unique form factors, such as LED rope lights, sign lighting, and cove lighting.


2127. In these instances, a similar savings and demand algorithm may be used, however with a different metric other than fixture quantity entered. For example, a comparison of watts per linear foot between LED and incandescent technologies would result in accurate energy savings calculations.

2128.2129.[1739.] Algorithms2130.2131.[1740.] ❑❑()()❑❑

2132. 2133. ❑❑() (❑❑ )

2134.2135.[1741.] where:2136. 2137. 2138. () –

2139. ()()

2140. The remaining variables are unchanged from those presented above.

2141. 2142. similar program offered to Puget Sound Energy customers. ( Sources

1. NEEP, Mid-Atlantic Technical Reference Manual, V6. May 2016., p. 21, pp. 30–31, 38–39, 46–47, 51–52, and 59–60. From the NEEP Mid-Atlantic TRM: “Base wattage is based upon the post first phase of EISA wattage and wattage bins consistent with ENERGY STAR, v1.1.”

2. Efficiency Vermont, Technical Reference User Manual, 2016, p. 265. The hours of use for this measure are based on the assumption: Evidence from Two Large Field Experiments that these will be installed in the highest use locations due to their high cost.Peer Comparison Feedback Can Reduce Residential hours of use are based on average daily hours of use of 3.3, from Table 3-5, page 43, value for Living Space for Upstate New York, from NMR Group, Inc., Northeast Residential Lighting Hours-of-Use Study, prepared for CT Energy Efficiency Board, Cape Light Compact, Massachusetts Energy Efficiency Advisory Council, National Grid MA, National Grid RI, NYSERDA, Northeast Utilities, May 5, 2014. Usage, Ayres, 2009)

3.[1.] NY, Standard Approach for Estimating Energy Savings, V4, April 2016, p.133. From the NY TRM: “From NY TRM 2016, for NYC due to proximity to NJ. From the NY TRM: “The coincidence factors were derived from an examination of studies throughout New England that calculated coincident factors based on the definition of system peak period at the time, as specified by the New England Power Pool and later, ISO-New England.”

4. NY, Standard Approach for Estimating Energy Savings, V4, April 2016. Appendix D – HVAC Interactive Effects Multipliers, p. 344 and 345. 2143. Coincidence factor: p. 133 2144.


2145. Appliance Recycling Program

2146. Protocols2147. The following sections detail savings calculations ENERGY STAR

Refrigerator/Freezer retirement program.

[1742.] Refrigerator/Freezer Retirement Program

[1743.] Protocols

[1744.] The general form of the equation for the Refrigerator/Freezer Retirement Program savings algorithm is:

[1745.] Number of Units *X Savings per Unit

[1746.] To determine resource savings, the per unit estimates in the protocols will be multiplied by the number of appliance units.

2148.[1747.] [1748.] Unit savings are the product of average fridge/freezer consumption (gross annual savings), and a net to gross ratio that adjusts for both free ridership and the portion of retired units that are replaced with more efficient new units.[1749.] [1750.]

2149.[1751.] Algorithm [1752.] Energy SavingsElectricity Impact (kWh/yr) = ESavRetFridge, ESavRAC, ESavDEH

[1753.] Peak Demand SavingsImpact (kW) = DSavRetFridge *x CFRetFridge

2150.[1754.] 2151.[1755.] Definition of Terms 2152.[1756.] ESavRetFridge = Gross annual energy savings per unit retired refrigerator2153.[1757.] ESavRetFreezer = Gross annual energy savings per unit retired freezer2154.[1758.] DSavRetFridge = Summer demand savings per retired refrigerator2155.[1759.] DSavRetFreezer = Summer demand savings per retired freezer2156.[1760.] CFRetFridge = Summer demand coincidence factor.

2157.[1761.] 2158.[1762.] Summary of Inputs

2159. Refrigerator/Freezer Recycling[1763.]


2161.[1765.] Type


2163.[1768.] ESavRetFridge

2164.[1769.] Fixed

2165.[1770.] 761 kWh

2166.[1771.] 1

2167.[1772.] ESavRetFreezer

2168.[1773.] Fixed

2169.[1774.] 639 kWh

2170.[1775.] 1



2161.[1765.] Type


2171.[1776.] ESavRAC

2172.[1777.] Fixed

2173.[1778.] 166 kWh

[1779.] 1 4

2174.[1780.] ESavDEH

2175.[1781.] Fixed

2176.[1782.] 169 kWh

[1783.] 3 5

2177.[1784.] DSavRetFridge

2178.[1785.] Fixed

2179.[1786.] 0.114 kW

[1787.] 2 3

2180.[1788.] DSavRetFreezer

2181.[1789.] Fixed

2182.[1790.] 0.114 kW

[1791.] 2 3

2183.[1792.] DSavRAC

2184.[1793.] Fixed

2185.[1794.] 0.16 kW

[1795.] 1 4

2186.[1796.] DSavDEH

2187.[1797.] Fixed

2188.[1798.] 0.114 [1799.] 3 5

2189.[1800.] CFRetFridge

2190.[1801.] Fixed

2191.[1802.] 1 [1803.] 1 4

2192.[1804.] [1805.] Sources :

[1.] NEEP, Northeast Energy Efficiency Partnerships, “Mid-Atlantic Technical Reference Manual, V6. May 2016.”, Version 4.0, June, 2014, p. 96. Savings incorporate regression analysis results of EmPower Maryland evaluation of the 2013 Appliance Recycling Program.

[2.] Northeast Energy Efficiency Partnerships, “Mid-Atlantic Technical Reference Manual”, Version 4.0, June, 2014, p. 98.

[3.] Coincidence factor already embedded in summer peak demand reduction estimates[4.] Mid-Atlantic TRM V5[5.] Rhode Island TRM 2016 Program Year –-

https://www9.nationalgridus.com/non_html/eer/ri/PY2016%20RI%20TRM.pdf (p.pg 20).)

2193.[1806.] 2194.[1807.]


https://www9.nationalgridus.com/non_html/eer/ri/PY2016%20RI%20TRM.pdf

2195.[1808.] Home Performance with ENERGY STAR Program2196.[1809.] In order to implement Home Performance with Energy Star, there are various

standards a program implementer must adhere to in order to deliver the program. The program implementer must use software that meets a national standard for savings calculations from whole-house approaches such as home performance. The difference in modeled annual energy consumption between the program and existing home is the project savings for heating, hot water, cooling, lighting and appliance end uses.

2197. The software the program implementer uses must adhere to at least one of the following standards:

A software tool whose performance has passed testing according to the National Renewable Energy Laboratory’s HERS BESTEST software energy simulation testing protocol.26

Software approved by the US Department of Energy’s Weatherization Assistance Program.27

RESNET approved rating software.28

2198.[1810.] There are numerous software packages that comply with these standards. Some examples of the software packages are REM/Rate, Real Home Analyzer, EnergyGauge, TREAT, and HomeCheck.

2199.[1811.]

26 Information about BESTEST-EX can be found at http://www.nrel.gov/buildings/bestest-_ex.htmlhttp://www.nrel.gov/buildings/bestest_ex.html.27 A listing of the approved software available at http://www.waptac.org/data/files/Website_Docs/technical_tools/EnergyAuditMatrixTable2.pdfhttp://www.waptac.org/data/files/Website_Docs/technical_tools/EnergyAuditMatrixTable2.pdf..28 A listing of the approved software available at http://resnet.us .


http://resnet.us/

http://www.waptac.org/data/files/Website_Docs/technical_tools/EnergyAuditMatrixTable2.pdf

http://www.nrel.gov/buildings/bestest-ex.html

http://www.nrel.gov/buildings/bestest-ex.html

Commercial and Industrial Energy Efficient Construction

[1812.] C&I Electric Protocols

[1813.] Baselines and Code Changes[1814.]

[1815.] In general, efficiency baselines are designed to reflect current market practices - typically, the higher of applicable codes or the minimum efficiency of available new equipment - and are updated periodically to reflect upgrades in code or information from evaluation results. There are exceptions to this approach, as in the Direct Install program (see below).

[1816.] Baseline data reflect ASHRAE 90.1-2007 for existing building retrofit and ASHRAE 90.1-2013 for new construction, replacement of failed equipment, end of useful life, and entire facility rehabilitation. unless otherwise noted for applications designated “2011”.

[1817.] Building Shell

[1818.]

[1819.] Building shell measures identified in an approved Local Government Energy Audit (or equivalent) are eligible for incentives through the Custom and Pay for Performance program. Savings for these measures will vary from project to project based on factors such as building size, existing levels of insulation and infiltration levels. As a result, energy savings for these installed building shell measures will be taken from what is provided in the approved Audit and/or energyAuditenergy analysis provided with the application submission.

[1820.] Performance Lighting

[1821.] C&I Electric Protocols2200.[1822.] The following measures are outlined in this section: Performance Lighting,

Prescriptive Lighting, Refrigerated Case LED Lights, Lighting Controls, ECMs for Refrigeration, Electric HVAC Systems, Fuel Use Economizers, Dual Enthalpy Economizers, Occupancy Controlled Thermostats, Electric Chillers, VFDs, and Commercial Refrigeration.

2201. Performance Lighting

2202. For new construction and entire facility rehabilitation projects, savings are calculated by comparing the lighting power density of fixtures being installed to the baseline lighting power density, or “lighting power allowance,”power densities from the building code. For the state of New Jersey, the applicable building code is ASHRAE 90.1 2013.

[1823.] Lighting equipment includes fluorescent fixtures, ballasts, compact fluorescent fixtures, LED fixtures , and metal halide lamps. The measurement of energy savings is based on algorithms with measurement of key variables (i.e., Coincidence Factor and lamps, and high-intensity discharge fixtures such as metal halide and high pressure


sodium luminaires. Operating Hours) through end-use metering data accumulated from a large sample of participating facilities from 1995 through 1999.

2203.[1824.] 2204.[1825.] Algorithms 2205.[1826.]

2206.[1827.] ❑❑()()❑❑

2207. 2208. ()()❑❑

2209. 2210. (❑❑❑❑ )2211.

2212. Fuel Savings( MMBtuyr )= (Watts∗Qty )b – (Watts∗Qty )q

1,000 WattskW

∗( Hrs )∗(HVAC ¿¿ g)¿

2213. Demand Savings = kW X CF X (1+IF) [1828.] [1829.] Energy Savings = kW X EFLH X (1+IF) [1830.] [1831.] kW = (LPDbase – LPDinst) X SF[1832.] 2214.[1833.] Definition of Variables [1834.] kW = Change in connected load from baseline to efficient lighting. level. [1835.] LPDb LPDbase = Baseline lighting power density in Watt per square foot of space

floor area, based on ASHRAE 90.1 Table 9.6.1 (Space-by-Space Method) [1836.] LPDq LPDinst = Lighting power density of qualifiedinstalled fixtures, equal to the sum of

installed fixture wattage divided by floor area of the space where the fixtures are installed. Wattage of installed fixtures is based on table at http://www.sce.com/NR/rdonlyres/FC51087D-2848-42DF-A52A-BDBA1A09BF8D/0/SCE_B_StandardFixtureWatts010108.pdf.

2215.[1837.] [1838.] SF = Space= space floor area, in square feetSquare Foot

[1839.] CF = Coincidence factor2216. Hrs = Annual operating hours2217. HVACd = HVAC Interactive Factor for peak demand savings2218. HVACe = HVAC Interactive Factor for annual energy savings

2219. HVACg = HVACEFLH = Equivalent Full Load Hours[1840.]

[1841.] IF = Interactive Factor for annual energy savings2220.[1842.]



http://www.sce.com/NR/rdonlyres/FC51087D-2848-42DF-A52A-BDBA1A09BF8D/0/SCE_B_StandardFixtureWatts010108.pdf


2223.[1843.] Lighting Verification Performance Lighting2224.[1844.] Compon

ent

2225.[1845.] Typ

e

2226.[1846.] Value 2227.[1847.] Source

2228.[1848.] kW

[1849.] Fixe

dVariable

[1850.] See NGrid Fixture WattageCalifornia SPC Table:

2229.[1851.] 2230.[1852.] https://

www1.nationalgridus.com/files/AddedPDF/POA/

RILightingRetrofit1.pdf2231.

2232.http://www.sce.com/NR/ rdonlyres/FC51087D-2848-42DF-A52A-BDBA1A09BF8D/0/SCE_B_StandardFixtureWatts010108.pdf

[1853.] [1854.] And Formula Above.

2233.[1855.] 12234.[1856.]

2235. Baseline LPD from

ASHRAE 90.1-2013 Table

9.6.12236.[1857.]

Fixture counts and typesInstalled LPD, space type, and floor area from customer application.[1858.]

[1859.] 2237.[1860.]

SF2238.Vari

able

2239. From Customer Application

2240. Application

2241. CF

2242.[1861.] Fixe

d

[1862.] See Lighting Table by

Building Type

[1863.]

[1864.] 3 2

[1865.] H rsIF

2243.[1866.] Fixe

d

2244.[1867.] See Lighting Table by Building Type

[1868.] 35[1869.]

[1870.] H VACd

EFLH

2245.[1871.] Fixe

d

[1872.] See Lighting Table by Building Type

[1873.] 2 3, 5

[1874.]

2246.[1875.] HVACe

2247.Fixe

d

2248. See Lighting Table by Building Type

2249. 2

2250. H VACg

2251.Fixe

d

2252. - 0.000175 2253. 4

2254.





2255.[1876.] Yearly [1877.]


[1878.] [1879.] Lighting Hours of Operation by Building Type [5]

2256.[1880.] Building Type [1881.] Yearly Hours of OperationEFLH

[1882.] Education – Primary School

[1883.] 2257.[1884.] 2258.[1885.]

[1886.] EducationEducation – Secondary School 2259.[1887.] 2,456

[1888.] Education – Community College

[1889.] 2260.[1890.] 2261.[1891.]

[1892.] Education – University

[1893.] 2262.[1894.] 2263.[1895.]

[1896.] GroceryGrocery 2264.[1897.] 6,019[1898.] Medical – Hospital [1899.] 2265.[1900.] 2266.[1901.] [1902.] LodgingMedical –

Clinic [1903.] 4,808007[1904.] Lodging Hotel (Guest

Rooms)[1905.] 2267.[1906.] 2268.[1907.]

[1908.] Lodging Motel [1909.] 2269.[1910.] 2270.[1911.] [1912.] Manufacturin

gManufacturing – Light Industrial 2271.[1913.] 4,781

2272.[1914.] Health 2273. 4,0072274. MunicipalOffice-

Large [1915.] 3,116642[1916.] OfficeOffice-Small 2275.[1917.] 3,642[1918.] OtherRestaurant –

Sit-Down [1919.] 4,268089[1920.] Restaurant – Fast-

Food[1921.] 2276.[1922.] 2277.[1923.]

2278.[1924.] Public assembly 2279. 3,035Retail – 3-Story Large

2280.[1925.] Religious 2281. 2,6482282. RestaurantRetail –

Single-Story Large [1926.] 4,089103[1927.] RetailRetail – Small 2283.[1928.] 4,103[1929.] ServiceStorage

Conditioned [1930.] 3,5214,290[1931.] University/

collegeStorage Heated or Unconditioned [1932.] 4,2903,416

2284. WarehouseWarehouse 2285.[1933.] 4,009

[1934.] Average = Miscellaneous [1935.] 4,268 [1936.] 0.72 [1937.] 0.13

[1938.] 2286. Coincidence Factors by Building Type [3]

2287. Building Type 2288.C


2289. Education2290.0

2291. Exterior2292.0

2293. Grocery2294.0

2295. Health2296.0

2297. Industrial/Manufacturing – 1

Shift

2298.0


Shift

2300.0


Shift

2302.0

2303. Institutional/Public Service

2304.0

2305. Lodging2306.0

2307. Miscellaneous/Other

2308.0

2309. Multi-Family Common Areas

2310.0

2311. Office2312.0

2313. Parking Garage2314.0

2315. Restaurant2316.0

2317. Retail 2318.


0

2319. Street Lighting2320.0

2321. Warehouse2322.0

2323. 2324.


2325. HVAC Interactive Effects [2]

2326. Building Type

2327. Demand Waste

Heat Factor

(HVACd)

2328. Annual Energy Waste Heat Factor by Cooling/Heating

Type (HVACe)

2330.AC

(Utility)

2331.AC

(PJM)

2332.AC/

NonElec

2333.AC/

ElecRes

2334.He

at Pump

2335.No

AC/ ElecRes

2336. Office 2337.0.35

2338.0.3

2

2339.0.10

2340.-

0.15

2341.-

0.06

2342.-

0.25

2343. Retail 2344.0.27

2345.0.2

6

2346.0.06

2347.-

0.17

2348.-

0.05

2349.-

0.23

2350. Education 2351.0.44

2352.0.4

4

2353.0.10

2354.-

0.19

2355.-

0.04

2356.-

0.29

2357. Warehouse 2358.0.22

2359.0.2

4

2360.0.02

2361.-

0.25

2362.-

0.11

2363.-

0.27


2364. Other29 2365.0.34

2366.0.3

2

2367.0.08

2368.-

0.18

2369.-

0.07

2370.-

0.26

2371.2372.

2373. Sources

1. Device Codes and Rated Lighting System Wattage Table Retrofit Program, National Grid, January 13, 2015. https://www1.nationalgridus.com/files/AddedPDF/POA/RILightingRetrofit1.pdf

2. Average HVAC interactive effects by building type derived from the NEEP Mid-Atlantic TRM 2016, NEEP, Mid-Atlantic Technical Reference Manual, V6. May 2016, pp. 506-507. From NEEP TRM: “EmPOWER Maryland DRAFT Final Impact Evaluation Report Evaluation Year 4 (June 1, 2012 – May 31, 2013) Commercial & Industrial Prescriptive & Small Business Programs, Navigant, March 31, 2014. Values for Washington, D.C. and Delaware assume values from Maryland, Pepco and Maryland, DPL, respectively.2374. Pennsylvania PUC, Technical Reference Manual, June 2016, pp. 229–230.

*Note: Figures in italics are derived from NEEP Report – July 2011 (source #5)[1939.] [1940.] Sources :[1.] California Standard Performance Contracting Program[2.] RLW Analytics, Coincident Factor Study, Residential and Commercial & Industrial

Lighting Measures, 2007.[3.] Quantum Consulting, Inc., for Pacific Gas & Electric Company , Evaluation of Pacific

Gas & Electric Company’s 1997 Commercial Energy Efficiency Incentives Program: Lighting Technologies”, March 1, 1999

[4.] KEMA. New Jersey’s Clean Energy Program Energy Impact Evaluation and Protocol Review. 2009.

[5.] Sources for these values include the following: a) The Mid-Atlantic TRM – Northeast Energy Efficiency Partnerships, Mid-Atlantic

Technical Reference Manual, Version 2.0, submitted by Vermont Energy Investment Corporation, July, 2011.

b) Development of Interior Lighting Hours of Use and Coincidence Factor Values for EmPOWER Maryland Commercial Lighting Program Evaluations, Itron, 2010.

c) California Public Utility Commission. Database for Energy Efficiency Resources, 2008d) Small Commercial Contract Group Direct Impact Evaluation Report prepared by Itron for

the California Public Utilities Commission Energy Division, February 9, 2010

29 Per the NEEP Mid-Atlantic TRM: “The ‘Other’ building type should be used when the building type is known but not explicitly listed above. A description of the actual building type should be recorded in the project documentation.”


e) State of Ohio Energy Efficiency Technical Reference Manual, Vermont Energy Investment Corporation, August 6, 2010.

f) UI and CL&P Program Savings Documentation for 2013 Program Year, United Illuminating Company, September 2012.

g) CL&P and UI 2008 program documentation (referenced above) cites an estimated 4,368 hours, only 68 hours greater than dusk to down operating hours. ESNA RP-20-98; Lighting for Parking Facilities acknowledges "Garages usually require supplemental daytime luminance in above-ground facilities, and full day and night lighting for underground facilities." Emphasis added. The adopted assumption of 6,552 increases the CL&P and UI value by 50% (suggest data logging to document greater hours i.e., 8760 hours per year).

h) Pennsylvania Statewide Act 129 2014 Commercial & Residential Lighting Metering Study. Prepared for Pennsylvania Public Utilities Commission. January 13, 2015. http://www.puc.pa.gov/pcdocs/1340978.pdf

3. Massachusetts TRM, 2016-2018 Program Years, October 2015. Original source: DNV KEMA (2013). Impact Evaluation of 2010 Prescriptive Lighting Installations. Prepared for Massachusetts Energy Efficiency Program Administrators and Massachusetts Energy Efficiency Advisory Council.

4. Northeast Energy Efficiency Partnerships & KEMA, for NEEP. C&I Lighting Load Shape Project FINAL Report - Prepared for the Regional Evaluation, Measurement and Verification Forum.. July 19, 2011.

[1941.] http://www.neep.org/sites/default/files/products/ NEEP_CI_Lighting_LS_FINAL_Report_ver_5_7-19-11.pdf[1942.]

[1943.] [1944.]


http://www.neep.org/sites/default/files/products/NEEP_CI_Lighting_LS_FINAL_Report_ver_5_7-19-11.pdf


http://www.puc.pa.gov/pcdocs/1340978.pdf

[1945.] Prescriptive Lighting

[1946.] This is a fixture replacement program for existing commercial customers targeted for facilities performing efficiency upgrades to their lighting systems.

[1947.]

[1948.] The baseline for linear and U-bend fluorescent measures is standard T8 fixtures with electronic ballasts or actual existing HID fixtures.

[1949.]

[1950.] The baseline for LED fixtures is the actual fixture being replaced.

[1951.]

[1952.] The baseline for induction lighting is an equivalent pulse start metal halide fixture (6).

[1953.]

[1954.] The baseline for LED refrigerator Case Lighting is that the fixture replaced was 2.63 times the wattage of the replacement LED (7).

[1955.]

[1956.] New fixtures and technologies available after publication will be periodically updated. Baselines will be established based on the guidelines noted below.

2375.[1957.] 2376.[1958.] [1959.] Algorithms 2377.[1960.] [1961.] Demand Savings = (kW) X (CF) X (1+ IF)[1962.] [1963.] Energy Savings = (kW) X (1 + IF) X (EFLH)[1964.]

[1965.] KW = (Number of fixtures installed X baseline wattage for new fixture) – (number of replaced fixtures X wattage from table)

[1966.] [1967.] *For refrigerated case LED fixtures, the following protocols will be applied to

account for the lighting and refrigeration energy savings associated with this measure.*[1968.] [1969.] Algorithms [1970.]

2378.[1971.] ❑❑❑❑

2379. 2380. ❑❑

2381. 2382. () –

2383. ()()2384.


2385. (❑❑ ) ()❑()❑❑❑

()❑❑

2386. Demand Savings = (kW) X (CF) X (1+ IF) X (1 + (0.28 X Eff))[1972.] [1973.] Energy Savings = (kW) X (1 + IF) X EFLH X (1 + (0.28 X Eff))[1974.] 2387.[1975.] Definition of Variables [1976.] kW = Change in connected load from baseline to efficient lighting level. [1977.] CF = Coincidence factorFactor2388.[1978.] Hrs = Annual hours of operation2389. HVACd = HVAC interactive factor for peak demand savings2390. HVACe = HVAC interactive factor for annual energy savings2391. HVACg = HVAC interactive factor for annual fuel savings

2392. Summary of InputsEFLH = Equivalent Full Load Hours[1979.] [1980.] IF = Interactive Factor

[1981.] [1982.] 0.28 = Conversion from kW to tons (Refrigeration)[1983.] [1984.] Eff = Efficiency of typical refrigeration system in kW/ton[1985.]

[1986.] Prescriptive Lighting for Commercial Customers2393.[1987.]

[1988.] Component

2394.[1989.] Type

2395.[1990.] Value 2396.[1991.] Source

2397.[1992.] kW

2398. FVariable

2399. See NGrid Fixture Wattage Table

2400. 2401. https://

www1.nationalgridus.com/files/AddedPDF/POA/

RILightingRetrofit1.pdf2402.

2403. 1

2404. C FkW

2405.[1993.] Fixed

[1994.] See Lighting Wattage Table by Building in Performance Lighting Section Abovederived from California SPC Table at:

[1995.] [1996.] (http://www.sce.com/NR/

rdonlyres/FC51087D-2848-42DF-A52A-BDBA1A09BF8D/0/

[1998.] 3 1




[1988.] Component

2394.[1989.] Type

2395.[1990.] Value 2396.[1991.] Source

SCE_B_StandardFixtureWatts010108.pdf)

[1997.] [1999.] H

rsCF2406.[2000.]

Fixed2407.[2001.] See Lighting Table by

Building in Performance Lighting Section Above

[2002.] 3 [2003.] 2

5[2004.] H

VACd

EFLH

2408.[2005.] Fixed

2409.[2006.] See Lighting Table by Building Type in Performance

Lighting Section Above

2410.[2007.] [2008.] 3

, 4[2009.] H

VACe

IF

2411.[2010.] Fixed

2412.[2011.] See Lighting Table by Building Type in Performance


[2012.] 2 3

[2013.] [2014.] H

VACg

Eff

2413.[2015.] Fixed

[2016.] 1.6See Table Below 2414. 4 5

2415.[2017.]

2416.[2018.] Interactive Factor (HVACg) for Annual Fuel Savings2417.Proj

ect Type

2418.Fuel

Type

2419. Impact (MMBtu/∆kWh)

2420.Larg

e Retrofit

2421.C&I

Gas Heat

2422. - 0.00023

2423.Larg

e Ret

2424.Oil

2425. - 0.00046




rofit

2426.Sma

ll Retrofit

2427.Gas

Heat

2428. - 0.001075

2429.Sma

ll Retrofit

2430.Oil

Heat

2431. - 0.000120

2432. Refrigerated Case LED Lights

2433. This measure includes the installation of LED lamps in commercial display refrigerators, coolers

2434. or freezers. The display lighting in a typical cooler or freezer add to the load on that unit by

2435. increasing power consumption of the unit when the lamp is on, and by adding heat to the inside

2436. of the unit that must be overcome through additional cooling.

2437. Replacing fluorescent lamps with low heat generating LEDs reduces the energy consumption associated with the lighting components and reduces the amount of waste heat generated from the lamps that must be overcome by the unit’s compressor cycles.

[1.] For induction Lighting, used the lowest PSMH that would produce a 30% reduction in wattage to the induction fixture, which is the minimum requirement for incentives replacing HID with induction lighting. Assume 5% increase for input wattage vs nominal wattage.


[2.] Based on assuming LED is 62% more efficient than replacement as per RPI study: http://www.lrc.rpi.edu/programs/solidstate/pdf/SPIE4776-13_Raghavan.pdf

[2019.] 2438.[2020.] Algorithms2439.

2440.[2021.] ❑❑ (❑❑❑❑ )❑❑

2441. 2442. (❑❑❑❑ ) (❑❑)

2443. 2444. ❑❑ (❑❑❑❑ )❑❑

2445.2446.[2022.] Definition of Variables2447. Units = Number of LED linear lamps or fixtures installed2448. kWb = Baseline fixture wattage2449. kWq = Qualified LED fixture wattage2450. Lighting kWhbase = Total energy usage of lighting fixtures being replaced2451. Lighting kWhee= Total energy usage of new LED lighting fixtures are being

installed2452. Compfactor = Compressor factor for cooler or freezer, depending on location of

install2453. Compeff = Compressor efficiency for cooler or freezer; the efficiency

factors in portion of saved energy eliminated via the compressor2454. CF = Coincidence factor

2455. 2456. Summary of Inputs

2457. Refrigerated Case Assumptions2458. C

omponen

t

2459.Typ

e

2460.Valu

e

2461. Methodology 2462. Source

2463. L ighting kWhbase

2464.Vari

able

2465.Vari

able

2466. Total lighting operating hours per year × wattage of baseline lighting; use 2 × LED watts as

default

2467. Applicati

on

2468. L ighting kWhee

2469.Vari

able

2470.Vari

able

2471. Total lighting operating hours per year × wattage of LED

lighting.

2472. Applicati

on


http://www.lrc.rpi.edu/programs/solidstate/pdf/SPIE4776-13_Raghavan.pdf

2458. C omponen

t

2459.Typ

e

2460.Valu

e

2461. Methodology 2462. Source

2473. H rs

2474.Fixe

d

2475.6,20

5

2476. 2477. 2

2478. O Compeff – cooler

2479.Fixe

d

2480.0.41

2481. V alue is calculated by multiplying 0.51 (compressor efficiency for cooler) by 0.80

(portion of saved energy eliminated via the compressor).See

also PA TRM, p.258. Values adopted from Hall, N. et al, New

York Standard Approach for Estimating Energy Savings from Energy Efficiency Measures in

Commercial and Industrial Programs, TecMarket Works,

September 1, 2009. http://www3.dps.ny.gov/W/PSCWeb.nsf/0/06f2fee55575bd8a852576

e4006f9af7/$FILE/TechManualNYRevised10-15-

10.pdf

2482. 1

2483. O Compeff

– freez

er

2484.Fixe

d

2485.0.52

2486. Value is calculated by multiplying 0.65 (compressor efficiency for cooler) × 0.80

(portion of saved energy eliminated via the compressor).

2487. 1

2488. C ompf

actor –cooler

2489.Fixe

d

2490.0.40

2491. Based on EER value of 1.8 kW/ton × 0.285 ton/kW × 0.8 (20% of case lighting load not

converted into case cooling load) = 0.40

2492. 1

2493. C ompf

actor –freez

er

2494.Fixe

d

2495.0.51

2496. Based on EER value of 2.3 kW/ton × 0.285 ton/kW × 0.8 (20% of case lighting load not

converted into case cooling load) = 0.51

2497. 1

2498. C F

2499.Fixe

d

2500.0.92

2501. 2502. 2

2503.


http://www3.dps.ny.gov/W/PSCWeb.nsf/0/06f2fee55575bd8a852576e4006f9af7/$FILE/TechManualNYRevised10-15-10.pdf



2504. Typical applications of LED case lighting are shown below (1): 2505.

2506. Measure description

2507. Baseline 2508. M easure

watts

2509.Baseli

ne watts

2510.Fixtur

e savings

2511. 5 foot LED case light

2512. 5 ft T8 lamp with

normal light output

2513. 3 8

2514.76

2515.38

2516. 6 foot LED case light

2517. 6 ft T12lamp with

high light output

2518. 4 6

2519.112

2520.66

2521. 2522. Sources 2523. 1. NY, Standard Approach for Estimating Energy Savings, V4, April 2016, pages 223-222. Pennsylvania PUC, Technical Reference Manual, June 2016, page 258. From PA TRM:

“Methodology adapted from Kuiken et al, “State of Wisconsin Public Service Commission of Wisconsin Focus on Energy Evaluation Business Programs: Deemed Savings Parameter Development”, KEMA, November 13, 2009, assuming summer coincident peak period is defined as June through August on weekdays between 3:00 p.m. and 6:00 p.m., unless otherwise noted. https://focusonenergy.com/sites/default/files/bpdeemedsavingsmanuav10_evaluationreport.pdf”

2524. Specialty LED Fixtures

2525. Some LED fixtures do not adhere to the Prescriptive Lighting algorithm due to unique form factors that do not lend to a fixture-to-fixture comparison, such as LED rope lights, cove lighting, and so on.

2526. In these instances, a similar algorithm may be used, with a different metric other than fixture quantity entered. For example, a comparison of watts per linear foot between LED and incandescent technologies would result in accurate energy savings calculations.

2527.2528.[2023.] Algorithms2529.

2530.[2024.] ❑❑❑❑

2531. 2532. ❑❑

2533.


2534. () –( linear feet of installed LED cove light i ng ) × ( wattageof new LED cove lighting per foot )2535. 2536. Definition of Variables

2537. The remaining variables are unchanged from those presented in the Prescriptive Lighting section:

2538. 2539. Summary of Inputs 2540.

2541. Specialty Lighting for Commercial Customers2542. C

omponent

2543. T ype


2546. kW

2547. V ariab

le

2548. See algorithm above 2549. Application

2550. C F

2551. F ixed

2552. See Lighting Table by Building in Performance Lighting Section Above

2553. 2

2554. H rs

2555. F ixed

2556. See Lighting Table by Building in Performance Lighting Section Above

2557. 2

2558. H VACd

2559. F ixed

2560. See Lighting Table by Building Type in

Performance Lighting Section Above

2561. 1

2562. H VACe

2563. F ixed

2564. See Lighting Table by Building Type in

Performance Lighting Section Above

2565. 1

2566.2567.[2025.] Sources

1. NEEP, Mid-Atlantic Technical Reference Manual, V6. May 2016, pp 504-507.2. Pennsylvania PUC, Technical Reference Manual, June 2016, page 258. From PA TRM:

“Methodology adapted from Kuiken et al, “State of Wisconsin Public Service Commission of Wisconsin Focus on Energy Evaluation Business Programs: Deemed Savings Parameter Development”, KEMA, November 13, 2009, assuming summer coincident peak period is defined as June through August on weekdays between 3:00 p.m. and 6:00 p.m., unless otherwise noted. https://focusonenergy.com/sites/default/files/bpdeemedsavingsmanuav10_evaluationreport.pdf”2568.


2569. Lighting Controls

[2026.] Lighting controls include occupancy sensors, daylight dimmer systems, and occupancy controlled hi-low controls for fluorescent, LED and HID fixtures. The measurement of energy savings is based on algorithms with key variables (i.e., coincidence factor, equivalent full load hours) provided through existing end-use metering of a sample of facilities or from other utility programs with experience with these measures (i.e., % of annual lighting energy saved by lighting control). For lighting controls, the baseline is a manual switch, based on the findings of the New Jersey Commercial Energy Efficient Construction Baseline Study.

2570.[2027.] 2571.[2028.] Algorithms 2572.[2029.] 2573.[2030.] ❑❑ = kW c × SVG× Hrs ×¿❑❑

2574. 2575. = kW c × SVG× CF ×¿❑❑

2576. Demand Savings = kWc X SVG X CF X (1+ IF)[2031.] [2032.] Energy Savings = kWc X SVG X EFLH X (1+IF)[2033.] 2577.[2034.] Definition of Variables [2035.] SVG = % of annual lighting energy saved by lighting control; refer to table by

control type2578.[2036.] kWc = kW lighting load connected to control[2037.] ❑❑ IF = Interactive Factor – This applies to C&I interior lighting only. This

represents the secondary demand in reduced HVAC consumption resulting from decreased indoor lighting wattage.

2579. ❑❑ = Interactive Factor – This applies to C&I interior lighting only. This represents the secondaryand energy savings in reduced HVAC consumption resulting from decreased indoor lighting wattage. This value will be fixed at 5%.

2580.[2038.] CF = Coincidence factor2581. Hrs = Annual hours of operation prior to installation of controls2582. 2583.


2584. Summary of Inputs 2585. CF = Coincidence Factor – This value represents the percentage of the total load

which is on during electric system’s peak window.[2039.] [2040.] EFLH = Equivalent full load hours.[2041.]

2586.[2042.] Lighting Controls2587.[2043.]

[2044.] Component

2588.[2045.] Type

2589.[2046.] Value 2590.[2047.] Source

2591.[2048.] kWc

2592.[2049.] Variable

2593.[2050.] Load connected to control

2594.[2051.] Application

2595.[2052.] SVG

2596.[2053.] Fixed

[2054.] Occupancy Sensor, Controlled Hi-Low

Fluorescent Control, LED and controlled HID = 2430%[2055.] Daylight Dimmer

System=2850%

[2056.] 2 See sources below

2597.[2057.] CF

2598.[2058.] Fixed

2599.[2059.] See Lighting Table by Building in Performance


2600.[2060.] 2601.[2061.] 1

[2062.] H rsEFL

H

2602.[2063.] Fixed

2603.[2064.] See Lighting Table by Building in Performance


2604.[2065.] [2066.] 1, 2, 3

[2067.] H VACd

IF

2605.[2068.] Fixed

2606.[2069.] See HVAC Interactive Effects Table

Lighting Table by Building Type in Performance


[2070.] 1 2

2607.[2071.] HVACe

2608. F ixed

2609. See HVAC Interactive Effects Table by Building

Type in Performance Lighting Table Above

2610. 1

2611.2612.[2072.] [2073.] Sources :

1. NEEP, Mid-Atlantic Technical Reference Manual, V6. May 2016, pp 505-507. Sources per NEEP TRM: “2. EmPOWER Maryland DRAFT Final Impact Evaluation Report Evaluation Year 4 (June

1, 2012 – May 31, 2013) RLW Analytics, Coincident Factor Study, Residential and Commercial & Industrial Prescriptive & Small Business Programs, Navigant,Lighting Measures, 2007.


[a.] Quantum Consulting, Inc., for Pacific Gas & Electric Company , Evaluation of Pacific Gas & Electric Company’s 1997 Commercial Energy Efficiency Incentives Program: Lighting Technologies”, March 31, 20141, 1999

[b.] KEMA for NEEP. C&I Lighting Load Shape Project FINAL Report, KEMA. July 19, 2011

[2074.] http://www.neep.org/sites/default/files/products/ NEEP_CI_Lighting_LS_FINAL_Report_ver_5_7-19-11.pdf

[2075.] [2076.] [2077.] For premium efficiency motors 1-200 HP. [2078.] [2079.] Algorithms [2080.] [2081.] From application form calculate kW where:

[2082.] [2083.] kW = 0.746 * HP * IFVFD * (1/ηbase – 1/ηprem)[2084.]

[2085.] Demand Savings = (kW) X CF[2086.]

[2087.] Energy Savings = (kW)*HRS * LF[2088.] [2089.] Definition of Variables [2090.]

[2091.] kW = kW Savings at full load[2092.] [2093.] HP = Rated horsepower of qualifying motor, from nameplate/manufacturer specs.[2094.] [2095.] LF = Load Factor, percent of full load at typical operating condition[2096.] [2097.] IFVFD = VFD Interaction Factor, 1.0 without VFD, 0.9 with VFD[2098.] [2099.] ηbase = Efficiency of the baseline motor[2100.] [2101.] ηprem = Efficiency of the energy-efficient motor

[2102.] [c.] HRSEmPOWER Maryland DRAFT Final Impact Evaluation Report Evaluation

Year 4 (June 1, 2012 – May 31, 2013) Commercial & Industrial Prescriptive & Small Business Programs, Navigant, March 31, 2014. Values for Washington, D.C. and Delaware assume values from Maryland, Pepco and Maryland, DPL, respectively.”

3. A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings, Lawrence Berkeley National Laboratory, September 2011.

2613. = Annual operating hours[2103.]




[2104.] CF = Coincidence Factor[2105.] Motors

[2106.] Component

[2107.] Type [2108.] Value [2109.] Source

[2110.] HP [2111.] Variable [2112.] Nameplate/Manufacturer Spec. Sheet

[2113.] Application

[2114.] LF [2115.] Fixed [2116.] 0.75 [2117.] 1[2118.] hpbase [2119.] Fixed [2120.] ASHRAE

90.1-2013 Baseline Efficiency Table

[2121.] ASHRAE

[2122.] hpprem [2123.] Variable [2124.] Nameplate/Manufacturer Spec. Sheet

[2125.] Application

[2126.] IFVFD [2127.] Fixed [2128.] 1.0 or 0.9 [2129.] 3[2130.] Efficien

cy - ηee

[2131.] Variable [2132.] Nameplate/Manufacturer Spec. Sheet

[2133.] Application

[2134.] CF [2135.] Fixed [2136.] 0.74 [2137.] 1[2138.] HRS[2139.]

[2140.] Fixed [2141.] Annual Operating Hours Table

[2142.] 1

[2143.] [2144.] Baseline Motor Efficiency Table[2145.]

ODP TEFC ODP TEFC ODP TEFC1 0.8 0.8 0.825 0.825 na 0.755

1.5 0.84 0.855 0.84 0.84 0.825 0.8252 0.855 0.865 0.84 0.84 0.84 0.843 0.865 0.875 0.865 0.875 0.84 0.8555 0.875 0.875 0.875 0.875 0.855 0.875

7.5 0.885 0.895 0.885 0.895 0.875 0.88510 0.9002 0.895 0.895 0.895 0.885 0.89515 0.902 0.902 0.91 0.91 0.895 0.90220 0.91 0.902 0.91 0.91 0.902 0.90225 0.917 0.917 0.917 0.924 0.91 0.9130 0.924 0.917 0.924 0.924 0.91 0.9140 0.93 0.93 0.93 0.93 0.917 0.91750 0.93 0.93 0.93 0.93 0.924 0.92460 0.936 0.936 0.936 0.936 0.93 0.9375 0.936 0.936 0.941 0.941 0.93 0.93100 0.941 0.941 0.941 0.945 0.93 0.936125 0.941 0.941 0.945 0.945 0.936 0.945150 0.945 0.95 0.95 0.95 0.936 0.945200 0.945 0.95 0.95 0.95 0.945 0.95

Motor Horsepower

1200 RPM (6 pole) 1800 RPM (4 pole) 3600 RPM (2 pole)

[2146.] *Note: For the Direct Install Program, different baseline efficiency values are used. [2147.]


[2148.] NEMA ASHRAE 90.1-2013 Motor Efficiency Table – General Purpose Subtype I

[2149.]

ODP TEFC ODP TEFC ODP TEFC1 0.825 0.825 0.855 0.855 0.77 0.77

1.5 0.865 0.875 0.865 0.865 0.84 0.842 0.875 0.885 0.865 0.865 0.855 0.8553 0.885 0.895 0.895 0.895 0.855 0.8655 0.895 0.895 0.895 0.895 0.865 0.885

7.5 0.902 0.91 0.91 0.917 0.885 0.89510 0.917 0.91 0.917 0.917 0.895 0.90215 0.917 0.917 0.93 0.924 0.902 0.9120 0.924 0.917 0.93 0.93 0.91 0.9125 0.93 0.93 0.936 0.936 0.917 0.91730 0.936 0.93 0.941 0.936 0.917 0.91740 0.941 0.941 0.941 0.941 0.924 0.92450 0.941 0.941 0.945 0.945 0.93 0.9360 0.945 0.945 0.95 0.95 0.936 0.93675 0.945 0.945 0.95 0.954 0.936 0.936100 0.95 0.95 0.954 0.954 0.936 0.941100 0.95 0.95 0.954 0.954 0.941 0.95150 0.954 0.958 0.958 0.958 0.941 0.95200 0.954 0.958 0.958 0.962 0.95 0.954

Motor Horsepower

1200 RPM (6 pole) 1800 RPM (4 pole) 3600 RPM (2 pole)

[2150.] [2151.] Annual Operating Hours Table

[2152.]

Motor Horsepower

Operating Hours, HRS

1 to 5 HP 2,7456 to 20 HP 3,39121 to 50 HP 4,067

51 to 100 HP 5,329101 to 200 HP 5,200

[2153.]

[2154.] Electronically Commutated Motors for Refrigeration

[2155.] [2156.] This measure is applicable to existing walk-in, multi-deck and free standing coolers

and freezers with shaded pole or permanent split capacitor (PSC) motors. These fractional horsepower motors are significantly more efficient than mechanically commutated, brushed motors, particularly at low speeds or partial load. By employing variable-speed technology, EC motors are able to optimize fan speeds for changing load requirements. Because these motors are brushless and utilize DC power, losses due to friction and phase shifting are eliminated. Calculations of savings for this measure take into account both the increased efficiency of the motor as well as the reduction in refrigeration load due to motor heat loss.

2614.[2157.] 2615.[2158.] EC Motor Retrofits in Walk-in Coolers and Freezers


2616.[2159.] 2617.[2160.] Algorithms 2618.[2161.] 2619.[2162.] ∆kW = ((AmpsEF * VoltsEF * (PhaseEF) 1/2)/1000) * PFEF * LR65%2620.[2163.] 2621.[2164.] Gross kWh Savings = kWh SavingsEF + kWh SavingsRH

2622.[2165.] 2623.[2166.] kWh SavingsEF = ((AmpsEF * VoltsEF * (PhaseEF) 1/2)/1000) * PFEF * Operating Hours * LR65%2624.[2167.] 2625.[2168.] kWh SavingsRH = kWh SavingsEF * 0.28 * 1.62626.[2169.]

2627.[2170.] PLEASE NOTE: 2628.[2171.] “((AmpsEF * VoltsEF * (PhaseEF) 1/2)/1000) * PFEF” is equivalent to “HP *

0.746”2629.[2172.] 2630.[2173.] Definition of Variables 2631.[2174.] ∆kW = Demand Savings due to EC Motor Retrofit2632.[2175.] kWh SavingsEF = Savings due to Evaporator Fan Motors being replaced2633.[2176.] kWh SavingsRH = Savings due to reduced heat from Evaporator Fans2634.[2177.] AmpsEF = Nameplate Amps of Evaporator Fan2635.[2178.] VoltsEF = Nameplate Volts of Evaporator Fan2636.[2179.] PhaseEF = Phase of Evaporator Fan2637.[2180.] PFEF = Evaporator Fan Power Factor2638.[2181.] Operating Hours = Annual operating hours if Evaporator Fan Control2639.[2182.] LR = Percent reduction of load by replacing motors2640.[2183.] 0.28 = Conversion from kW to tons (Refrigeration)2641.[2184.] 1.6 = Efficiency of typical refrigeration system in kW/ton2642.[2185.] 2643.[2186.] Case Motor Replacement2644.[2187.] 2645.[2188.] Algorithms 2646.[2189.] 2647.[2190.] Gross kWh Savings = kWh SavingsCM + kWh SavingsRH

2648.[2191.] 2649.[2192.] kWh SavingsCM = kW * ER * RT8, 5002650.[2193.] 2651.[2194.] kWh SavingsRH = kWh SavingsEF * 0.28 * Eff2652.[2195.] 2653.[2196.] Definition of Variables 2654.[2197.] kWh SavingsCM = Savings due to Case Motors being replaced2655.[2198.] kWh SavingsRH = Savings due to reduced heat from Case Motors2656.[2199.] kW = Metered load of Case Motors


2657.[2200.] ER = Energy reduction if a motor is being replaced2658.[2201.] RT = Average runtime of Case Motors2659.[2202.] 0.28 = Conversion from kW to tons (Refrigeration)2660.[2203.] Eff = Efficiency of typical refrigeration system in kW/ton2661.[2204.] 2662.[2205.] Summary of Inputs 2663.

2664.[2206.] ECM Fraction HP Motors[2207.]


2666.[2209.] Type

2667.[2210.] Value 2668.[2211.] Source

2669.[2212.] AmpsEF

2670.[2213.] Variable

2671.[2214.] Nameplate/

Manufacturer Spec. Sheet


2673.[2216.] VoltsEF

2674.[2217.] Variable

2675.[2218.] Nameplate/



2677.[2220.] PhaseEF

2678.[2221.] Variable

2679.[2222.] Nameplate/



2681.[2224.] PFEF

2682.[2225.] Fixed

2683.[2226.] 0.55 2684.[2227.] 1

2685.[2228.] Operating Hours

2686.[2229.] Fixed

2687.[2230.] Not Installed = 8,760

2688.[2231.] Installed = 5,600

2689.[2232.]

2690.[2233.] LR 2691.[2234.] Fixed

2692.[2235.] 65% 2693.[2236.] 2

2694.[2237.] ER 2695.[2238.] Fixed

2696.[2239.] Shaded Pole Motor

Replaced = 53%2697.[2240.] PSC

Motor Replaced = 29%

2698.[2241.] 3

2699.[2242.] RT 2700.[2243.] Fixed

2701.[2244.] 8500 2702.[2245.]

2703.[2246.] Eff 2704.[2247.] Fixed

2705.[2248.] 1.6 2706.[2249.]


2707.[2250.] [2251.] [2252.] Sources:[2253.]

[1.] Select Energy Services, Inc., Cooler Control Measure Impact Spreadsheet User’s Manual, 2004.

1.[2.] This value is an estimate by NRM based on several pre- and post- meter readings of installations. This is supported by RLW report for National Grid, “Small Business Services, Custom Measure Impact Evaluation,” March 23, 2007.

2.[3.] Based on numerous pre- and post- meterings conducted by NRM.

2708.[2254.] Electric HVAC Systems

[2255.] This measure provides energy and demand savings algorithms for C&/I ElectricEfficient HVAC systems. The type of systems included in this measure are:program for Room AC, Central AC, and air cooled DX is based on algorithms. (Includes split systems, single package systems, air to air cooled heat pumps, packaged terminal systems (PTAC and PTHP),, single package vertical systems (SPVAC and SPVHP),, central DX AC systems, water source heat pumps, ground water source heat pumps, and/or ground source heat pumps.)

2709. This measure applies to new construction, replacement of failed equipment, or end of useful life. The baseline unit is a code compliant unit with an efficiency as required by ASHRAE Std. 90.1 – 2013, which is the current code adopted by the state of New Jersey.

2710.2711.[2256.] Algorithms 2712.[2257.] 2713.[2258.] Air Conditioning Algorithms:2714.[2259.] [2260.] EnergyDemand Savings (kWh/yr) = N * Tons * 12 kBtuh/Ton *= (BtuH/1000) X

(1/EERb-1/EERq) * EFLHcX CF 2715.[2261.] [2262.] Peak DemandEnergy Savings (kW) = N * Tons * 12 kBtuh/Ton *= (BtuH/1000) X

(1/EERb-1/EERq) * CFX EFLH 2716.[2263.] 2717.[2264.] Heat Pump Algorithms:2718.[2265.]

[2266.] Cooling Energy Savings (kWh/yr) = N * Tons * 12 kBtuh/Ton *-Cooling = (BtuHc/1000) X (1/EERb-1/EERq) *X EFLHc

2719.[2267.] [2268.] Heating Energy Savings (Btu/yr) = N * Tons * 12 kBtuh/Ton *-Heating = BtuHh/1000

X ((1/ (COPb *X 3.412))-(1/ (COPq *X 3.412)) *))) X EFLHh

2720.[2269.] 2721.[2270.] Where c is for cooling and h is for heating.

2722.[2271.]


2723.[2272.] Definition of Variables 2724.[2273.] N = Number of units 2725. Tons BtuH = Rated cCooling capacity of unitin Btu/Hour. T – This value comes from ARI/AHRI or AHAM rating or manufacturer data.[2274.] EERb = Energy Efficiency Ratio of the baseline unit. This data is found in the HVAC and Heat Pumps table below. For units < 65,000 BtuH (5.4 tons),, SEER should be used in place of EER. [2275.] COPb = Coefficient of Performance of the baseline unit. This data is found in the HVAC and Heat Pumps table below. For units < 65,000 BtuH (5.4 tons),, SEER and HSPF/3.412 should be used in place of COP X 3.412 for cooling and heating savings, respectively. 2726.[2276.] EERq = Energy Efficiency Ratio of the high efficiency unit. This value comes from the ARI/AHRI or AHAM directories or manufacturer data. For units < 65,000 (5.4 tons) BtuH, SEER should be used in place of EER. [2277.] COPq = Coefficient of Performance of the high efficiency unit. This value comes from the ARI/AHRI or AHAM directories or manufacturer data. For units < 65,000 BtuH (5.4 tons),,, SEER and HSPF/3.412 should be used in place of COP X 3.412 .for cooling and heating savings, respectively. [2278.] CF = Coincidence Factor – This value represents the percentage of the total load which is on during electric system’s Peak Window. This value iswill be based on existing measured usage and determined as the average number of operating hours during the peak window period.[2279.] EFLHc or h EFLH = Equivalent Full Load Hours – This represents a measure of energy use by season during the on-peak and off- peak periods. This value will be determined by existing measured data of kWh during the period divided by kW at design conditions.2727.[2280.] 2728. Summary of Inputs 2729.

2730.[2281.] HVAC and Heat Pumps2731.[2282.] [2283.] C

omponen

t

2732.[2284.] Typ

e

2733.[2285.] Value 2734.[2286.] Source

[2287.] T onsBtuH

2735.[2288.] Vari

able

[2289.] ARI/AHRI or AHAM or Manufacturer DataRated Capacity,

Tons


2737.[2291.] EERb

2738.[2292.] Vari

a

2739.[2293.] See Table below [2294.] 1 Collaborati

ve


[2283.] Componen

t

2732.[2284.] Typ

e

2733.[2285.] Value 2734.[2286.] Source

ble

agreement and C/I baseline

study2740.[2295.]

EERq

2741.[2296.] Vari

able

2742.[2297.] ARI/AHRI or AHAM Values


2744.[2299.] CF

2745.[2300.] Fixe

d

[2301.] 5067% [2302.] 2 Engineering estimate

2746.[2303.] EFLH(

c or h)

2747.Vari

ableFixed

[2304.] See Table belowHVAC 1,495 [2305.] HP cooling 381

[2306.] HP heating 800

[2307.] 3 301, JCP&L metered data31

2748.[2308.]

30 From NY TRM 2016, for NYC due to proximity to NJ; for small commercial and large commercial buildings31 Results reflect metered use from 1995 – 1999.


[2309.] HVAC Baseline Efficiencies Table – New Construction/EUL/RoFExisting Buildings

2749.[2310.] [2311.] Equipment Type [2312.] Baseline = ASHRAE Std.

90.1 – 2013- 20072750.[2313.] Unitary HVAC/Split Systems and

Single Package, Air Cooled[2314.] · <=5.4 tons, split:

2751.[2315.] <=5.4 tons, single2752. · >5.4 to 11.25 tons[2316.] · >11.25 to 20 tons[2317.] > .> 21 to 63 tons2753.[2318.] >63 Tons

2754.[2319.] 2755.

2756.[2320.] 13 SEER2757.[2321.] 14 SEER

2758. 11.0 EER, 12.7 IEER2759.[2322.] 10.8 EER, 12.2 IEER[2323.] 9.8 EER, 11.4 IEER9.5 IPLV[2324.] 9.5 EER, 11.0 IEER9.2 IPLV

[2325.] Air-Air Cooled Heat Pump Systems, Split

System and Single Package[2326.] · <=5.4 tons, split:

2760.[2327.] <=5.4 tons, single2761. · >5.4 to 11.25 tons[2328.] · >11.25 to 20 tons

[2329.] >=.>= 21

2762.[2330.] 2763.[2331.]

[2332.] 1413 SEER, 8.27.7 HSPF2764.[2333.] 14 SEER, 8.0 HSPF2765. 10.8 EER, 11.0 IEER, 3.3

heating COP[2334.] 10.4 EER, 11.4 IEER3.2 heating

COP[2335.] 9.3 EER, 9.0 IPLV, 3.2 heating

COP2766. 9.3 EER, 10.4 IEER, 3.2

heating COP2767.[2336.] Water Source

Heat Pumps (water to air, water loop)

[2337.] All Capacities[2338.] <=1.4 tons

2768.[2339.] >1.4 to 5.4 tons2769.[2340.] >5.4 to 11.25 tons

2770.[2341.] 2771.[2342.]

2772. 12.0 EER[2343.] 11.2 EER, 4.32 heating COP

[2344.] 1312.0 EER, 4.32 heating COP[2345.] 1312.0 EER, 4.32 heating COP

2773.[2346.] Ground Water Source Heat Pumps

[2347.] Open and Closed Loop All Capacities<=11.25 tons

2774.[2348.] 18.0[2349.] 16.2 EER, 3.76 heating COP

2775.[2350.] Ground Source Heat Pumps (brine to air,

ground loop)2776.[2351.] <=11.25 tons

2777.[2352.] 14.1[2353.] 13.4 EER, 3.21 heating COP


[2311.] Equipment Type [2312.] Baseline = ASHRAE Std. 90.1 – 2013- 2007

[2354.] Package Terminal Air Conditioners32 a

2778.[2355.]

2779.[2356.] 14.[2357.] 12.5 - (0 – (0.300.213 *

Cap/1,000), EER2780.[2358.]

[2359.] Package Terminal Heat Pumps a

2781.[2360.] [2361.]

[2362.]

2782.[2363.] 14.[2364.] 12.3 - (0 – (0.300.213 *

Cap/1,000), EER[2365.] 3.72 – (0.052026 * Cap/1,000),

heating COP2783.[2366.]

2784.[2367.] Single Package Vertical Air Conditioners[2368.] · <=5.4 tons

[2369.] · >5.4 to 11.25 tons[2370.] · >11.25 to 20 tons

2785.[2371.] [2372.] 109.0 EER

[2373.] 10.08.9 EER[2374.] 10.08.6 EER

2786.[2375.] Single Package Vertical Heat Pumps

[2376.] · <=5.4 tons[2377.] · >5.4 to 11.25 tons[2378.] · >11.25 to 20 tons

2787.[2379.] 2788.[2380.]

2789. 109.0 EER, 3.0 heating COP[2381.] 10.08.9 EER, 3.0 heating COP

[2382.] 10.08.6 EER, 3.02.9 heating COP

2790.[2383.] 2791.[2384.]

2792.[2385.] EFLH

32 Cap means the rated cooling capacity of the product in Btu/h.


[2386.] HVAC Baseline Table – New Construction

[2387.] FacilityEquipment

Type

[2388.] Heating

EFLHBaseline

= ASHRAE Std. 90.1 -

2013

2793.[2389.] Cooling

EFLH

[2390.] Unitary HVAC/Split Systems and Single Package,

Air Cooled[2391.] ·

<=Assembly5.4 tons, split

[2392.] · <=5.4 tons, single

[2393.] · >5.4 to 11.25 tons

[2394.] · >11.25 to 20 tons

[2395.] .> 21 to 63 tons

[2396.] >63 Tons

2794.[2397.] 6 03[2398.]

[2399.] 13 SEER

[2400.] 14 SEER

[2401.] 11.0 EER, 12.7

IEER[2402.] 10.8

EER, 12.2 IEER

[2403.] 9.8 EER, 11.4

IEER[2404.] 9.5

EER, 11.0 IEER

2795.[2405.] 669



Type

[2388.] Heating

EFLHBaseline


2013

2793.[2389.] Cooling

EFLH

[2406.] Air Cooled

Heat Pump Systems,

Split System and

Single Package

[2407.] · <=Auto repair5.4 tons, split

[2408.] · <=5.4 tons, single

[2409.] · >5.4 to 11.25 tons

[2410.] · >11.25 to 20 tons

[2411.] .>= 21

2796.[2412.] 1 910

[2413.] [2414.] 14

SEER, 8.2 HSPF

[2415.] 14 SEER, 8.0

HSPF[2416.] 10.8

EER, 11.0 IEER, 3.3

heating COP

[2417.] 10.4 EER, 11.4 IEER, 3.2

heating COP

[2418.] 9.3 EER, 10.4 IEER, 3.2

heating COP

2797.[2419.] 426

2798. DormitoryWater Source Heat Pumps (water to air, water loop)

[2420.] <=1.4 tons[2421.] >1.4 to

5.4 tons[2422.] >5.4 to

11.25 tons

2799.[2423.] 4 65

[2424.] [2425.] 12.2

EER, 4.3 heating COP

[2426.] 13.0 EER, 4.3 heating COP

[2427.] 13.0 EER, 4.3 heating COP

2800.[2428.] 800



Type

[2388.] Heating

EFLHBaseline


2013

2793.[2389.] Cooling

EFLH

2801. HospitalGround Water Source Heat Pumps

[2429.] <=11.25 tons

2802.[2430.] 3 366

[2431.] 18.0 EER, 3.7 heating COP

2803.[2432.] 1424

2804. Light industrialGround Source Heat Pumps (brine to air, ground loop)

[2433.] <=11.25 tons

2805.[2434.] 7 14

[2435.] [2436.] 14.1

EER, 3.2 heating COP

2806.[2437.] 549

2807. Lodging – HotelPackage Terminal Air Conditioners a

[2438.]

2808.[2439.] 1 077

[2440.] 14.0 - (0.300 *

Cap/1,000), EER

[2441.]

2809.[2442.] 2918

2810. Lodging – MotelPackage Terminal Heat Pumps a [2443.]

2811.[2444.] 6 19

[2445.] 14.0 - (0.300 *

Cap/1,000), EER

[2446.] 3.7 – (0.052 *

Cap/1,000), heating COP

[2447.]

2812.[2448.] 1233



Type

[2388.] Heating

EFLHBaseline


2013

2793.[2389.] Cooling

EFLH

2813. Office – largeSingle Package Vertical Air Conditioners

[2449.] · <=5.4 tons

[2450.] · >5.4 to 11.25 tons

[2451.] · >11.25 to 20 tons

2814.[2452.] 2 034

[2453.] 10.0 EER

[2454.] 10.0 EER

[2455.] 10.0 EER

2815.[2456.] 720

2816. Office – smallSingle Package Vertical Heat Pumps

[2457.] · <=5.4 tons

[2458.] · >5.4 to 11.25 tons

[2459.] · >11.25 to 20 tons

2817.[2460.] 4 31

[2461.] 10.0 EER, 3.0 heating COP

[2462.] 10.0 EER, 3.0 heating COP

[2463.] 10.0 EER, 3.0 heating COP

2818.[2464.] 955

2819. Other 2820. 681 2821. 736

2822. Religious worship 2823. 722 2824. 27

92825. Restaur

ant – fast food

2826. 813 2827. 645

2828. Restaurant – full service

2829. 821 2830. 574

2831. Retail – big box 2832. 191 2833. 12

792834. Retail –

Grocery 2835. 191 2836. 1279



Type

[2388.] Heating

EFLHBaseline


2013

2793.[2389.] Cooling

EFLH

2837. Retail – large 2838. 545 2839. 88

22840. Retail –

large 2841. 2101 2842. 1068

2843. School –

Community college

2844. 1431 2845. 846

2846. School –

postsecondary

2847. 1191 2848. 1208

2849. School – primary 2850. 840 2851. 39

42852. School

– secondary

2853. 901 2854. 466

2855. Warehouse 2856. 452 2857. 40

02858. a – Cap means the rated cooling capacity of the product in BtuH. If the unit’s capacity

is less than 7,000 BtuH, use 7,000 BtuH in the calculation. If the unit’s capacity is greater than 15,000

[2465.] BtuH, use 15,000 BtuH in the calculation[2466.] [2467.] [2468.] Sources :

2859.[2469.] ASHRAE Standards 90.[1.] EFLH of 1-2013, Energy Standard,495 hours for Buildings Except Low Rise Residential

Buildings; available at: https://www.ashrae.org/standards-research--technology/standards--guidelines.


https://www.ashrae.org/standards-research--technology/standards--guidelines


1. Unitary HVAC is represented in the “C&I Unitary HVAC Load Shape Project Final Report. August 2011, v.1.1, p. 12,”, Table O-5. The CF reported here is a center point for NJ chosen between the CF for urban NY and for the 0-2, Mid-Atlantic region in the PJM peak periods. Available at: . This report was published August 2, 2011 and was performed by KEMA for NEEP.2860.[2470.] http://www.neep.org/sites/default/files/resources/ NEEP_HVAC_Load_Shape_Report_Final_August2_0.pdf.

2. NY, Standard Approach for Estimating Energy Savings, V4, April 2016, Appendix G – Equivalent Full-Load Hours (EFLH) for Heating and Cooling, pp. 443‒444. Derived from DOE2.2 simulations reflecting a range of building types and climate zones.

2861. Fuel Use Economizers2862.[2471.] Algorithms 2863.[2472.] 2864. EnergyElectric Savings (kWh/yr) = (AEU * 0.13) 2865.[2473.]

[2474.] 2866.[2475.] Definition of Variables 2867.[2476.] AEU = Annual Electric Usage for an uncontrolled AC or refrigeration unit (kWh) = (Input power in kW) * (annual run time)2868.[2477.] 0.13 = Approximate energy savings factor related to installation of fuel use

economizers

[2478.] Sources :

[1.] Approximate energy savings factor of 0.13 based on average % savings for test sites represented in Table 2 (p.page 3) of NYSERDA Study: A Technology Demonstration and Validation Project for Intellidyne Energy Saving Controls; Intellidyne LLC & Brookhaven National Laboratories; 2006; available at: http://www.cleargreenpartners.com/attachments/File/NYSERDA_Report.pdf. (http://www.cleargreenpartners.com/attachments/File/NYSERDA_Report.pdf)

2869.[2479.] Dual Enthalpy Economizers2870.[2480.] The following algorithm details savings for dual enthalpy economizers. They

are to be used to determine electric energy savings between baseline standard units and the high efficiency units promoted in the program. The baseline condition is assumed to be a rooftop unit with fixed outside air (no economizer). The high efficiency units are equipped with sensors that monitor the enthalpy of outside air and return air and modulate the outside air damper to optimize energy performance.

2871. The input values are based on data provided on the application form and stipulated savings values derived from DOE 2.2 simulations of a series of prototypical small commercial buildings.

2872. 2873. Algorithms 2874.[2481.] 2875.[2482.] Electric energy savings (kWh/yr) = N * Tons * (ΔkWh/ton)


http://www.cleargreenpartners.com/attachments/File/NYSERDA_Report.pdf

http://www.neep.org/sites/default/files/resources/NEEP_HVAC_Load_Shape_Report_Final_August2_0.pdf

http://www.neep.org/sites/default/files/resources/NEEP_HVAC_Load_Shape_Report_Final_August2_0.pdf

2876. 2877. Peak Energy Savings (kWh) = OTF * *SF * *Cap/Eff[2483.] [2484.] Demand Savings (kW) = 033 kWSavings/Operating Hours2878.[2485.] 2879.[2486.] Definition of Variables 2880.[2487.] N = Number of units2881. Tons OTF = Operational Testing Factor [2488.] [2489.] SF = Approximate savings factor based on regional temperature bin data (assume

4576 for equipment under 5.4 tons where a fixed damper is assumed for the baseline and 3318 for larger equipment where a dry bulb economizer is assumed for the baseline). (Units for savings factor are in kWh x rated EER per ton of cooling or kWh*EER/Ton)

[2490.] [2491.] Cap = Rated cCapacity of theconnected cooling system retrofitted with anload (tons) [2492.] [2493.] Eff = Cooling equipment energy efficiency ratio (EER) [2494.] [2495.] Operating Hours = 4,438 = Approximate number of economizer operating hours 2882.[2496.] ΔkWh/ton = Stipulated per building type electricity energy savings per ton of cooling system retrofitted with an economizer2883. 2884. Summary of Inputs 2885.

2886.[2497.] Dual Enthalpy Economizers2887.[2498.]

[2499.] Component

2888.[2500.] Type

2889.[2501.] Value 2890.[2502.] Source

[2503.] OTF [2504.] Fixe

d

[2505.] 1.0 when operational testing is performed, 0.8

otherwise

[2506.]

[2507.] SF [2508.] [2509.] 4576 for equipment under 5.4 tons, 3318

otherwise

[2510.] 1

[2511.] N Cap 2891.[2512.] Variable

2892.[2513.] 2893.[2514.] Application

2894. Cooling tonsTonsEff

2895.[2515.] Variable

[2516.] TonsRated Capacity, Tons


[2518.] ΔkWh/ 2897.[2519.] F [2520.] 4,438See 2898. 1 34 2

33 Economizer savings occur when outdoor air enthalpy is relatively low, and these conditions mostly exist outside of defined system peak demand periods, therefore, the seasonal peak demand savings for this measure are assumed to be negligible. 34 From NY TRM 2016, for NYC due to proximity to NJ for small commercial and large ommercial buildings


[2499.] Component

2888.[2500.] Type

2889.[2501.] Value 2890.[2502.] Source

tonOperating Hours

ixed Table Below

2899.[2521.] [2522.] Sources:[1.] DOE-2 Simulation Modeling

[2523.] ClimateQuest Economizer Savings per Ton of Cooling SystemCalculator2900.[2524.] Building Type 2901. Savings

(ΔkWh/ton)2902. Assembly 2903. 27

2904. Big Box Retail 2905. 1522906. Fast Food Restaurant 2907. 39

2908. Full Service Restaurant

2909. 31

2910. Light Industrial 2911. 252912. Primary School 2913. 42

2914. Small Office 2915. 1862916. Small Retail 2917. 95

2918. Religious 2919. 6 2920. Warehouse 2921. 2

2922. Other 2923. 612924. [2525.] 2925.[2526.] Sources1. NY, Standard Approach for Estimating Energy Savings, V4, April 2016. Appendix J –

Commercial HVAC Unit Savings. P.455.

2926.[2527.] Occupancy Controlled Thermostats

2927. The program has received a large amount of custom electric applications for the installation of Occupancy Controlled Thermostats in hotels, motels, and, most recently, university dormitories. Due to the number of applications, consistent incentive amounts ($75 per thermostat) and predictable savings of the technology TRC recommends that a prescriptive application be created for this technology.

2928. Standard practice today is thermostats which are manually controlled by occupants to regulate temperature within a facility. An occupancy controlled thermostat is a thermostat paired with a sensor and/or door detector to identify movement and determine if a room is occupied or unoccupied. If occupancy is sensed by the sensor, the thermostat goes into an occupied mode (i.e., programmed setpoint). If a pre-programmed time frame elapses (i.e., 30 minutes) and no occupancy is sensed during that time, the thermostat goes into an unoccupied mode (e.g., setback setpoint or off) until occupancy is sensed again. This type of thermostat is often used in hotels to conserve energy.


2929. The occupancy controlled thermostat reduces the consumption of electricity and/or gas by requiring less heating and/or cooling when a room or a facility is vacant or unoccupied.

2930.2931.[2528.] Algorithms2932.2933.[2529.] Cooling Energy Savings (kWh) = (((Tc * (H+5) + Sc * (168 - (H+5)))/168) Tc) * (Pc * Caphp * 12 * EFLHc/EERhp)2934.2935.[2530.] Heating Energy Savings (kWh) = (((Th * (H+5) + Sh * (168 - (H+5)))/168)-Th) *

(Ph * Caphp * 12 * EFLHh/EERhp)2936. Heating Energy Savings (Therms) = (Th - (Th * (H+5) + Sh * (168 - (H+5)))/168) * (Ph * Caph * EFLHh/AFUEh/100,000)2937.2938.[2531.] Definition of Variables2939. T h = Heating Season Facility Temp. (°F) 2940. T c = Cooling Season Facility Temp. (°F) 2941. S h = Heating Season Setback Temp. (°F) 2942. S c = Cooling Season Setup Temp. (°F) 2943. H = Weekly Occupied Hours2944. Caphp = Connected load capacity of heat pump/AC (Tons) – Provided on

Application.2945. Caph = Connected heating load capacity (Btu/hr) – Provided on Application.2946. EFLHc = Equivalent full load cooling hours 2947. EFLHh = Equivalent full load heating hours 2948. P h = Heating season percent savings per degree setback 2949. P c = Cooling season percent savings per degree setup 2950. AFUEh = Heating equipment efficiency – Provided on Application.2951. EERhp = Heat pump/AC equipment efficiency – Provided on Application2952. 12 = Conversion factor from Tons to kBtu/hr to acquire consumption in kWh.2953. 168 = Hours per week.2954. 5 = Assumed weekly hours for setback/setup adjustment period (based on 1 setback/setup per day, 5 days per week).2955. 2956. Summary of Inputs 2957.

2958. Occupancy Controlled Thermostats2959. Comp

onent2960.Typ

e


2963. T h 2964. 2965. 2966. Applicati


2959. Component

2960.Typ

e


Variable

on

2967. T c 2968.Vari

able


2971. S h 2972.Fixe

d

2973. T h-5° 2974.

2975. S c 2976.Fixe

d

2977. T c+5° 2978.

2979. H 2980.Vari

able

2981. 2982. Application; Default

of 56 hrs/week

2983. Caphp 2984.Vari

able


2987. Caph 2988.Vari

able


2991. EFLHc 2992.Fixe

d

2993. 381 2994. 1

2995. EFLHh 2996.Fixe

d

2997. 900 2998. PSE&G


2959. Component

2960.Typ

e


2999. P h 3000.Fixe

d

3001. 3% 3002. 2

3003. P c 3004.Fixe

d

3005. 6% 3006. 2

3007. AFUEh 3008.Vari

able


3011. EERhp 3012.Vari

able


3015. Sources

1. JCP&L metered data from 1995–1999 .2. ENERGY STAR Products website.

3016. Electric Chillers

3017.[2532.] The measurement of energy and demand savings for C&I chillers is based on algorithms with key variables.

3018. This measure applies to new construction, replacement (i.e., kW/ton, Coincidence Factor, Equivalent Full Load Hours) measured through existing end-use metering of failed equipment, or enda sample of useful life. The baseline unit is a code compliant unit with an efficiency as required by ASHRAE Std. 90.1 – 2013, which is the current code adopted by the state of New Jerseyfacilities.

3019.[2533.] 3020.[2534.] Algorithms 3021.[2535.] 3022.[2536.] For IPLV:3023.[2537.] Energy Savings (kWh/yr) = N * Tons * EFLH * (IPLVb – IPLVq)

3024. 3025. Peak Demand Savings (kW) = N *= Tons *X PDC *X (IPLVb – IPLVq)

[2538.] Energy Savings = Tons X EFLH X (IPLVb – IPLVq)[2539.] 3026.[2540.] For FLV:


3027.[2541.] Energy Savings (kWh/yr) = N * Tons * EFLH * (FLVb – FLVq)3028.

3029. Peak Demand Savings (kW) = N *= Tons *X PDC *X (FLVb – FLVq)3030.[2542.] [2543.] Energy Savings = Tons X EFLH X (FLVb – FLVq)[2544.] [2545.]

[2546.] Definition of Variables 3031.[2547.] N = Number of units3032. Tons = Rated capacity of cooling equipment. cooling capacity[2548.] EFLH = Equivalent Full Load Hours – This represents a measure of energychiller use by season determined by measured kWh during the on-peak and off peak periodsperiod divided by kW at design conditions from JCP&L measurement data.

3033.[2549.] PDC = Peak Duty Cycle: fraction of time the compressor runs during peak hours

3034.[2550.] IPLVb = Integrated Part Load Value of baseline equipment, kW/Ton. The efficiency of the chiller under partial-load conditions.3035.[2551.] IPLVq = Integrated Part Load Value of qualifying equipment, kW/Ton. The efficiency of the chiller under partial-load conditions.3036.[2552.] FLVb = Full Load Value of baseline equipment, kW/Ton. The efficiency of the chiller under full-load conditions.3037.[2553.] FLVq = Full Load Value of qualifying equipment, kW/Ton. The efficiency of the chiller under full-load conditions.3038.[2554.] 3039.[2555.]


3040.[2556.] Summary of Inputs 3041. Electric Chiller Assumptions

3042. Electric

Chillers Compone

nt3043.[2557.] T

ype3044.[2558.] S

ituation3045.[2559.] Value

3046.[2560.] Source

3047.[2561.] Tons

[2562.] VariableRated

Capacity, Tons

3048.[2563.] All

3049.[2564.] Varies

3050.[2565.] From

Application

3051.[2566.] I PLVb

(kW/ton)

3052. Variable

3053. See table

below

3054. V arie

s

3055. 1

3056. IPLVq

(kW/ton)3057.[2567.] V

ariable3058.[2568.] A

ll3059.[2569.] Varies

3060.[2570.] From

Application (per AHRI Std.

550/590)3061.[2571.] F

LVb

(kW/ton)

3062. Variable

3063. See table

below

3064. V arie

s

3065. 1

3066. FLVq

(kW/ton)3067. Variabl

e3068. All 3069. V

aries

3070. From Applicatio

n (per AHRI Std.

550/590)3071. PDC 3072.[2572.] F

ixed3073.[2573.] A

ll3074.[2574.]

67%3075.[2575.] E

ngineering

Estimate3076.[2576.] E

FLH[2577.] Fixe

dVariable3077.[2578.] A

ll[2579.] S

ee Tabl

e Below1,360

[2580.] 2 35California DEER

35 From NY TRM 2016, for NYC due to proximity to NJ; for small commercial and large commercial buildings


3078.[2581.] [2582.] Electric Chillers – Existing Buildings

[2583.] [2584.] [2585.] ASHRAE 90.1 2007 a

[2586.] Type

[2587.] Capacity

[2588.] F

[2589.] IP

[2590.] Full

Load

kW/ton

[2591.] IPL

V

kW/ton

[2592.] Air Cooled [2593.] tons

< 150

[2594.] 2

[2595.] 3.0

[2596.] 1.25

6

[2597.] 1.15

3

[2598.] [2599.] tons > 150

[2600.] 2

[2601.] 3.0

[2602.] 1.25

6

[2603.] 1.15

3

[2604.] Water

Cooled[2605.] Pos

itive[2606.] Dis

placement

[2607.] (rotary

screw[2608.] and

scroll)

[2609.] tons < 75

[2610.] 4

[2611.] 5.2

[2612.] 0.79

0

[2613.] 0.67

6[2615.] 75 <

tons < 150

[2616.] 4

[2617.] 5.2

[2618.] 0.79

0

[2619.] 0.67

6[2621.] 150 <

tons < 300

[2622.] 4

[2623.] 5.6

[2624.] 0.71

8

[2625.] 0.62

8[2627.] 300 <

tons < 600

[2628.] 5

[2629.] 6.1

[2630.] 0.63

9

[2631.] 0.57

2

[2633.] tons > 600

[2634.] 5

[2635.] 6.1

[2636.] 0.63

9

[2637.] 0.57

2

[2638.] Water

Cooled[2639.] Ce

ntrifugal

[2640.] tons < 150

[2641.] 5

[2642.] 5.2

[2643.] 0.70

3

[2644.] 0.67

0[2646.] 150 <

tons < 300

[2647.] 5

[2648.] 5.9

[2649.] 0.63

4

[2650.] 0.59

6[2652.] 300 <

tons < 400

[2653.] 6

[2654.] 6.4

[2655.] 0.57

6

[2656.] 0.54

9


[2658.] 400 < tons < 600

[2659.] 6

[2660.] 6.4

[2661.] 0.57

6

[2662.] 0.54

9

[2664.] tons > 600

[2665.] 6

[2666.] 6.4

[2667.] 0.57

6

[2668.] 0.54

9[2669.]

[2670.] a - The 90.1 2007 efficiencies were used in the 90.1 2013 capacity categories for consistency between tables. The 2007 water cooled reciprocating category was removed and the 90.1 2007 water cooled screw and scroll efficiencies were used in the appropriate 90.1 2013 water cooled positive displacement capacity categories (the water cooled reciprocating category was removed from ASHRAE 90.1 in 2010).

[2671.] Electric Chillers – New Construction3079.[2672.] 3080.[2673.] 3081.[2674.] ASHRAE 90.1 20133082.[2675.] 3083.[2676.] 3084.[2677.] effective 1/1/2015 a

3085.[2678.] 3086.[2679.] 3087.[2680.] P

ath A3088.[2681.] P

ath B

3089.[2682.] Type3090.[2683.] Ca

pacity

3091.[2684.] Full

Load

kW/ton

3092.[2685.] IPL

V

kW/ton

3093.[2686.] Full

Load

kW/ton

3094.[2687.] IPL

V

kW/ton

3095.[2688.] Air Cooled

3096.[2689.] 3097.[2690.] 10.1

3098.[2691.] 13.

73099.[2692.] 9.7

3100.[2693.] 15.8

3102.[2695.] tons < 150

3103.[2696.] 1.18

8

3104.[2697.] 0.8

76

3105.[2698.] 1.23

7

3106.[2699.] 0.75

9

3108.[2701.] 3109.[2702.] 10.1

3110.[2703.] 14.

03111.[2704.] 9.7

3112.[2705.] 16.1

3114.[2707.] tons > 150

3115.[2708.] 1.18

8

3116.[2709.] 0.8

57

3117.[2710.] 1.23

7

3118.[2711.] 0.74

5


3119.[2712.] Water Cooled Positive

3120.[2713.] Displacement

3121.[2714.] (rotary screw

3122.[2715.] and scroll)

3123.[2716.] tons < 75

3124.[2717.] 0.75

0

3125.[2718.] 0.6

00

3126.[2719.] 0.78

0

3127.[2720.] 0.50

0

3129.[2722.] 75 < tons < 150

3130.[2723.] 0.72

0

3131.[2724.] 0.5

60

3132.[2725.] 0.75

0

3133.[2726.] 0.49

0

3135.[2728.] 150 < tons < 300

3136.[2729.] 0.66

0

3137.[2730.] 0.5

40

3138.[2731.] 0.68

0

3139.[2732.] 0.44

0

3141.[2734.] 300 < tons < 600

3142.[2735.] 0.61

0

3143.[2736.] 0.5

20

3144.[2737.] 0.62

5

3145.[2738.] 0.41

0

3147.[2740.] tons > 600

3148.[2741.] 0.56

0

3149.[2742.] 0.5

00

3150.[2743.] 0.58

5

3151.[2744.] 0.38

0

3152.[2745.] Water Cooled

3153.[2746.] Centrifugal

3154.[2747.] tons < 150

3155.[2748.] 0.61

0

3156.[2749.] 0.5

50

3157.[2750.] 0.69

5

3158.[2751.] 0.44

0

3160.[2753.] 150 < tons < 300

3161.[2754.] 0.61

0

3162.[2755.] 0.5

50

3163.[2756.] 0.63

5

3164.[2757.] 0.40

0

3166.[2759.] 300 < tons < 400

3167.[2760.] 0.56

0

3168.[2761.] 0.5

20

3169.[2762.] 0.59

5

3170.[2763.] 0.39

0

3172.[2765.] 400 < tons < 600

3173.[2766.] 0.56

0

3174.[2767.] 0.5

00

3175.[2768.] 0.58

5

3176.[2769.] 0.38

0

3178.[2771.] tons > 600

3179.[2772.] 0.56

0

3180.[2773.] 0.5

00

3181.[2774.] 0.58

5

3182.[2775.] 0.38

0


3183.[2776.] a – Values in italics are EERs.3184.[2777.]

3185.[2778.] EFLH Table

3186. Facility Type

3187. Cooling

EFLH3188. Assembly 3189. 669

3190. Auto repair 3191. 4263192. Dormitory 3193. 800

3194. Hospital 3195. 1424

3196. Light industrial 3197. 549

3198. Lodging – Hotel

3199. 2918

3200. Lodging – Motel

3201. 1233

3202. Office – large 3203. 720

3204. Office – small 3205. 955

3206. Other 3207. 7363208. Religious

worship 3209. 279

3210. Restaurant – fast food 3211. 645

3212. Restaurant – full service 3213. 574

3214. Retail – big box

3215. 1279

3216. Retail – Grocery

3217. 1279

3218. Retail – large 3219. 882

3220. Retail – large

3221. 1068

3222. School – Community

college3223. 846

3224. School – postsecondary

3225. 1208

3226. School – primary 3227. 394


3186. Facility Type

3187. Cooling

EFLH3228. School –

secondary 3229. 466

3230. Warehouse 3231. 4003232.3233.[2779.] Sources

1. ASHRAE Standards 90.1-2013. Energy Standard for Buildings Except Low Rise Residential Buildings. https://www.ashrae.org/standards-research--technology/standards--guidelines.

2. NY, Standard Approach for Estimating Energy Savings, V4, April 2016. Appendix G – Equivalent Full-Load Hours (EFLH), For Heating and Cooling; pp. 443–444. Derived from DOE2.2 simulations reflecting a range of building types and climate zones.

3234. Variable Frequency Drives[2780.] This section provides algorithms and assumptions for reportingThe measurement of energy and demand savings for C/I Variable Frequency Drive (VFD) installationsfor VFD applications is are for constant and variable air volume system HVAC systems including: supply air fans, return air fans, chilled water and condenser water pumps, hot water circulation pumps, water source heat pump circulation pumps, cooling tower fans, and kitchen hood fans, boiler feed water pumps., and boiler draft fans only. VFD applications for other end usesthan this use should follow the custom path.3235.[2781.]

3236.[2782.] Algorithms 3237.[2783.] [2784.] Energy Savings (kWh/year) = N * ) = 0.746 * *HP * *HRS * (ESF/ηmotor)

3238.[2785.] [2786.] Peak Demand Savings (kW) = N * 0.746 * *HP * (DSF/ηmotor)

3239.[2787.] 3240.[2788.] Definitions of Variables 3241.[2789.] N = Number of motors controlled by VFD(s) per application

3242. HP = Nameplate= nameplate motor horsepower or manufacturer specificationspec. sheet per application[2790.] ηmotor = Motor efficiency at the peak load. Motor efficiency varies with load. At low loads relative to the rated hp (usually below 50%) efficiency often drops dramatically.[2791.] [2792.] ESF = Energy Savings Factor (kWh/year per HP) . The energy savings factor is calculated by determining the ratio of the power requirement for baseline and VFD control at peak conditions.3243.[2793.] DSF = Demand Savings Factor (kW per HP) 3244.

3245. Summary . The demand savings factor is calculated by determining the ratio of Inputs the power requirement for baseline and VFD control at peak conditions

3246.[2794.]



[2795.] HRS = annual operating hours[2796.]

3247.[2797.] Variable Frequency Drives3248.[2798.]

[2799.] Component

3249.[2800.] Type

3250.[2801.] Value 3251.[2802.] Source

3252.[2803.] Motor HP

3253.[2804.] Variable

3254.[2805.] Nameplate/



[2807.] ηmotor [2808.] Variable [2809.] Nameplate/Manufacturer Spec. Sheet

[2810.] Application

[2811.] ESF 3256.[2812.] Variable

3257.[2813.] See Table Below

[2814.] 1, 2, 3

Connecticut Light

and Power

3258.[2815.] DSF

3259.[2816.] Variable


[2818.] 1, 2, 3

Connecticut Light

and Power

[2819.] HRS [2820.] Variable [2821.] >2,000 [2822.] Application

[2823.] [2824.] VFD Savings Factors

[2825.]

ComponentEnergy Savings

Factor, ESFDemand Savings

Factor, DSFAirfoil/Backward Inclined Fans 0.475 0.448

Forward Curved Fans 0.240 0.216Chilled Water Pumps 0.580 0.201Cooling Tower Fans 0.580 0.000

[2826.]

[2827.] Air Compressors with Variable Frequency Drives[2828.] [2829.] The measurement of energy and demand savings for variable frequency drive (VFD)

air compressors.[2830.] [2831.] Algorithms [2832.] 3261.[2833.]


3262. The ESF for the supply and return fans and circulating pumps are derived from a 2014 NEEP-funded study of 400 VFD installations in eight northeast states. The derived values are based on actual logged input power data and reflect average operating hours, load factors, and motor efficiencies for the sample. Savings factors representing cooling tower fans and boiler feed water pumps are not reflected in the NEEP report. Values representing these applications are taken from April 2016 New York TRM, Appendix K, and represent average values derived from DOE2.2 simulation of various building types and climate zones, supplemented with results from an earlier analysis of actual program data completed by NSTAR in 2010.

3263. The DSF are derived from the same sources. The NEEP values reflect the actual average impact for the category occurring in the PJM defined peak demand period. The NY values are based on a similar but not identically defined peak period. In all cases the values are expressed in kW/HP rating of the controlled motor and reflect average load factors during the peak period and motor efficiencies for the sample.

3264.


3265. VFD Savings Factors3266. Energy Savings (kWh) = HRS * (*(Maximum kW/HP Savings) * )*Motor HP[2834.] [2835.] Demand Savings (kW) = PDC * (*(Maximum kW/HP Savings) * )*Motor HP[2836.] [2837.] Maximum kW/HP Savings = Percent Energy Savings * (0.746 / EFFb)[2838.]

[2839.] Definitions of Variables [2840.] [2841.] HRS = Annual compressor runtime (hours) from application.[2842.] [2843.] PDC = Peak Duty Cycle: fraction of time the compressor runs during peak hours[2844.] [2845.] EEFb = Efficiency of the industry standard compressor at average load [2846.] [2847.] 0.746 = kW to HP conversion factor

[2848.] [2849.] Air Compressors with VFDs

[2850.] [2851.] Component [2852.] Type [2853.] Value [2854.] Source

[2855.] Motor H

PApplication

3267. ESF (kWh/Year-HP)Variable

[2856.] DSF (kW/HP

)Nameplate

[2857.] SourceApplicatio

n[2859.] Supply Air

FanMaximum kW/HP Savings

[2860.] 2,033Fixed [2861.] 0.286274 [2862.] Calculated1

[2864.] Return Air FanPDC

[2865.] 1,788Fixed [2866.] 0.297865 3270.[2867.] 1

3272.[2869.] CHW or CW Pump

3273. 1,633 3274. 0.185 3275. 1

3276. HHW Pump

3277. 1,548 3278. 0.096 3279. 1

3280. WSHP PumpHRS

[2870.] 2,562Fixed [2871.] 0.2344957

[2872.] 1 2

[2874.] CT FanPercent

Energy Savings

[2875.] 290Fixed [2876.] - 0.02522%

3282.[2877.] 2, 3

[2879.] Boiler Feedwater PumpEEFb

[2880.] 1,588Fixed [2881.] 0.49860 3284.[2882.] 2, 3

3286.[2884.]


[2885.] Sources :

[1.] Cadmus, NEEP – Aspen Systems Corporation, Prescriptive Variable Speed Drive Loadshape Project, August 2014; available at: http://www.neep.org/variable-speed-drive-loadshape-study-final-report.

3. NY, Standard Approach for Estimating Energy Savings, V4, April 2016, Appendix K – VFD Savings Factors, derived from DOE2.2 simulations reflecting a range of building types and climate zones.

4. Chan, Tumin Formulation of Prescriptive Incentive for VFD, and Motors and VFD Impact Tables, NSTAR 2010.

3287. Program Support for IndustrialVariable Speed Air Compressors, June 20, 2005.3288.[2886.] This measure applies to the installation of variable speed air compressors in

retrofit installations where they replace fixed speed compressor with either inlet vane modulation, load no load, or variable displacement flow control. The measure also applies to “lost opportunity” installations including new construction, the expansion of existing facilites, or replacement of existing equipment at end of life. In all cases the baseline is assumed to be a fixed speed compressor with one of the flow control methods described above.

1. The measure applies to variable speed air compressor up to 75 HP. For larger installations, the implementation cost and energy savings varies significantly between installations and the deemed savings factors provided here are not applicable. Custom protocols should be applied to derive savings and incentive levels for installations larger than 75 HP. Xenergy, Assessment of the Market for Compressed Air Efficiency Systems. 2001.

[1.] ACEEE, Modeling and Simulation of Air Compressor Energy Use. 2005.[2887.]

3289.[2888.] Algorithms3290.3291.[2889.] Energy Savings (kWh) = HRS * SF * Motor HP

3292. Peak Demand Savings (kW) = Motor HP * CF

3293.[2890.] Definition of Variables3294. HRS = Annual compressor run time from application, (hours/year).

3295. 0.746 = kW to HP conversion factorSF = Deemed Savings factor from savings factor table, kW/nameplate HP.

3296. Motor HP = Nameplate motor HP for variable speed air compressor, HP.

3297. CF = Coincidence factor applicable to commercial compressed air installations



3300. Air Compressors with VFDs3301. Comp

onent3302. Ty

pe3303. Value 3304. Source

3305. Motor HP

3306. Variable

3307. Nameplate 3308. Application

3309. SF 3310. Fixed

3311. 0.186 3312. 1

3313. HRS 3314. Variable

3315. 6,978 hours/year (default)

3316. Application, default value from source 1

3317. CF 3318. Fixed

3319. 1.05 3320. 1

3321.3322.[2891.] Sources

1. Impact Evaluation of 2014 RI Prescriptive Compressed Air Installations, National Grid, Prepared by KEMA, July 15, 2016.

3323. New and Retrofit Kitchen Hoods with Variable Frequency Drives 3324.[2892.] [2893.] Kitchen Hoods with Variable Frequency Control utilize optical and temperature

sensors at the hood inlet to monitor cooking activity. Kitchen hood exhaust fans are throttled in response to real time ventilation requirements. Energy savings result from fan power reduction during part load operation as well as a decrease in heating and cooling requirement of make-up air.

3325.[2894.] 3326.[2895.] Algorithms 3327.[2896.] [2897.] Electric Fan Savings (kWh) = NQ * (HP * *LF * 0.746/FEFF) * RH * PR3328.[2898.] 3329.[2899.] Heating Savings (MMBtu) = SF * CFM/SF * OF * FR * HDD * 24 * 1.08 / (HEFF * 1,000,000)3330.[2900.] 3331.[2901.] Cooling Savings (kWh) = SF * CFM/SF * OF * FR * CDD * 24 * 1.08 / (CEFF

* 3,412)3332.[2902.] 3333.[2903.] Definition of Variables [2904.] N = NumberQ=Quantity of Kitchen Hood Fan Motors3334.[2905.] HP = Kitchen Hood Fan Motor HP3335.[2906.] LF = Existing Motor Loading Factor3336.[2907.] 0.746 = Conversion from HP to kW3337.[2908.] FEFF = Efficiency of Kitchen Hood Fan Motors (%)3338.[2909.] RH = Kitchen Hood Fan Run Hours


3339.[2910.] PR = Fan Motor Power Reduction resultant from VFD/Control Installation3340.[2911.] SF = Kitchen Square Footage3341.[2912.] CFM/SF = Code required ventilation rate per square foot for Commercial

Kitchen spaces3342.[2913.] OF = Ventilation rate oversize factor (compared to code requirement)3343.[2914.] FR = Flow Reduction resultant from VFD/Control Installation3344.[2915.] HDDmod = Modified Heating Degree Days based on location and facility type3345.[2916.] CDDmod = Modified Cooling Degree Days based on location and facility type3346.[2917.] 24 = Hours per Day3347.[2918.] 1.08 = Sensible heat factor for air ((Btu/hr) / (CFM * Deg F))3348.[2919.] HEFF = Efficiency of Heating System (AFUE %)3349.[2920.] CEFF = Efficiency of Cooling System (COP)3350.[2921.] 3,412 = Conversion factor from Btu to kWh (3,412 Btu = 1 kWh)3351.[2922.] 1,000,000 = Btu/MMBtu3352.[2923.] 3353.[2924.] Summary of Inputs 3354.

3355. Kitchen Hoods with VFDs[2925.]

3356.[2926.] Compon

ent

3357.[2927.] Type

3358.[2928.] Value

3359.[2929.] Source

[2930.] N Q

3360.[2931.] Variable

3361.[2932.] Quantity


3363.[2934.] HP

3364.[2935.] Variable

3365.[2936.] Nameplate


3367.[2938.] LF

3368.[2939.] Fixed

3369.[2940.] 0.9

3370.[2941.] Melink Analysis Sample1

3371.[2942.] FEFF

3372.[2943.] Variable

[2944.] Based on Motor

HP

3373.[2945.] NEMA Premium Efficiency, TEFC 1800 RPM

3374.[2946.] RH

3375.[2947.] Variable

3376.[2948.] Based on Facility Type

3377.[2949.] Facility Specific Value Table

3378.[2950.] PR

3379.[2951.] Variable



3382.[2954.] SF

3383.[2955.] Variable

3384.[2956.] Kitchen

Square



Footage3386.[2958.]

CFM / SF

3387.[2959.] Fixed

3388.[2960.] 0.7

3389.[2961.] ASHRAE 62.1 2013 Table 6.5

3390.[2962.] OF

3391.[2963.] Fixed

3392.[2964.] 1.4

3393.[2965.] Estimated Typical Kitchen Design2

3394.[2966.] FR

3395.[2967.] Variable



3398.[2970.] HDDmod

3399.[2971.] Variable

3400.[2972.] 3401.[2973.] Heating Degree Day Table

3402.[2974.] CDDmod

3403.[2975.] Variable

3404.[2976.] 3405.[2977.] Cooling Degree Day Table

3406.[2978.] HEFF

3407.[2979.] Fixed

3408.[2980.] 0.8

3409.[2981.] 8.1F3Estimated Heating System Efficiency3

3410.[2982.] CEFF

3411.[2983.] Fixed

3412.[2984.] 3.00

3413.[2985.] Estimated Cooling System Efficiency4

3414.[2986.] 3415.[2987.] Facility-Specific Values Table5

3416.[2988.]

Facility Type Run Hours Power Reduction (PR) Flow Reduction (FR)Campus 5250 0.568 0.295Lodging 8736 0.618 0.330

Restaurant 5824 0.552 0.295Supermarket 5824 0.597 0.320

Other 5250 0.584 0.310

3417.[2989.] Modified Heating Degree Days Table6

3418.[2990.]

Building TypeHeating Energy

Density (kBtu/sf)

Degree Day Adjustment

Factor

Atlantic City (HDD)

Newark(HDD)

Philadelphia(HDD)

Monticello(HDD)

Education 29.5 0.55 2792 2783 2655 3886Food Sales 35.6 0.66 3369 3359 3204 4689

Food Service 39.0 0.73 3691 3680 3510 5137Health Care 53.6 1.00 5073 5057 4824 7060

Lodging 15.0 0.28 1420 1415 1350 1976Retail 29.3 0.55 2773 2764 2637 3859Office 28.1 0.52 2660 2651 2529 3701

Public Assembly 33.8 0.63 3199 3189 3042 4452Public Order/Safety 24.1 0.45 2281 2274 2169 3174Religious Worship 29.1 0.54 2754 2745 2619 3833

Service 47.8 0.89 4524 4510 4302 6296Warehouse/Storage 20.2 0.38 1912 1906 1818 2661


3419.[2991.] Modified Cooling Degree Days Table7

3420.[2992.]

Building TypeDegree Day Adjustment

Factor

Atlantic City (CDD)

Newark (CDD)

Philadelphia (CDD)

Monticello (CDD)

Education 0.55 824 893 806 625Food Sales 0.66 989 1071 967 750

Food Service 0.73 1094 1185 1069 830Health Care 1.00 1499 1623 1465 1137

Lodging 0.28 420 454 410 318Retail 0.55 824 893 806 625Office 0.52 779 844 762 591

Public Assembly 0.63 944 1022 923 716Public Order/Safety 0.45 675 730 659 512Religious Worship 0.54 809 876 791 614

Service 0.89 1334 1444 1304 1012Warehouse/Storage 0.38 570 617 557 432

3421.[2993.] [2994.] Sources :

[1.] To assist with development of this protocol, Melink Corporation provided several sample analyses performed on typical facilities utilizing Intelli-Hood control systems. The analysis performed is used nationwide by Melink to develop energy savings and financial reports related to installation of these systems for interested building owners. Melink’s analysis is mirrored in this protocol and includes several of the assumed values utilized here, including an average 0.9 load factor on hood fan motors, as well as operating hours for typical campus, lodging, restaurant and supermarket facility types.

[2.] Oversize factor of 1.4 is a best estimate based on past experience, assessments conducted at facilities with commercial food service equipment and approximations based on Melink sample analyses, which lead to average commercial kitchen ventilation rate of 1 CFM/SF (0.7 * 1.4). While exact ventilation rate is dependent on installed equipment and other factors, this figure is meant to represent average ventilation across potential retrofit and new installation projects.

[3.] A typical heating system efficiency of 80% AFUE is assumed based on estimates of average facility size, heating system age, and past and present code requirements, as well as assumptions indicated in Melink sample analyses. This figure is meant to represent average heating system efficiency across potential retrofit and new installation projects.

[4.] A typical cooling system efficiency of 3.00 COP (10.24 EER, 1.17 kW/Ton) is assumed based on estimates of average facility size, cooling system age, and past and present code requirements, as well as assumptions indicated in Melink sample analyses. This figure is meant to represent average cooling system efficiency across potential retrofit and new installation projects.

[5.] Facility Specific Values table constructed based on consolidation of Melink sample analysis data. Facility run hours were averaged across all like sample analyses. Fan power and flow reductions were calculated utilizing fan power profiles included in each sample analysis.

[6.] KEMA, June 2009, New Jersey’s Clean Energy Program Smartstart Program Protocol Review; available at: http://www.njcleanenergy.com/files/file/Library/HVAC%20Evaluation



%20Report%20-%20Final%20June%2011%202009.pdf.KEMA, Smartstart Program Protocol Review. 2009.

2.[7.] Modified Cooling Degree Days table utilizes Degree Day Adjustment factors from Heating Degree Days table and cooling degree days for each of the four representative cities as indicated by degreedays.net.3422.[2995.] [2996.] Commercial Refrigeration Measures[2997.] [2998.] For Aluminum Night Curtains, Door Heater Controls, Electric Defrost Controls,

Evaporator Fan Controls, and Novelty Cooler Shutoff, see applicable protocols for the commercial Direct Install program.

[2999.]

[3000.] For Energy Efficient Glass Doors on Verticalfor Open Refrigerated Cases:

3423.[3001.] This measure applies to retrofitting vertical, open, refrigerated display cases with high efficiency glass doors that have either no anti-sweat heaters (“zero energy doors”), or very low energy anti- sweat heaters. The deemed savings factors are derived from the results of a controlled test designed to measure the impact of this measure. The results of the test were presented at the 2010 International Refrigeration and Air Conditioning conference.

3424.3425.[3002.] Algorithms 3426.[3003.] [3004.] Demand Savings: ΔkW = (HG × EF × CL) / (EER × 1000)[3005.] [3006.] Annual Energy Savings (kWh/yr):: ΔkWh = ESF × CLΔkW × Usage3427.[3007.] 3428.[3008.] Peak Demand Savings (kW): ΔkW = ΔkWh / Hours3429. 3430. Heating Energy Savings: ΔTherms = HSF x CL3431. 3432. Definition Definitions of Variables 3433.[3009.] Δ kWh = Gross customer annual kWh savings for the measure 3434. ΔkW = Gross= gross customer connected load kW savings for the measure

(kW)3435.[3010.] ESF = Stipulated annual electric savings per linear foot of case3436. HSF = Stipulated annual heating savings factor per linear foot of case 3437. HG = Loss of cold air or heat gain for refrigerated cases with no cover (Btu/hr-ft

opening)[3011.] [3012.] EF = Efficiency Factor, fraction of heat gain prevented by case door[3013.] [3014.] CL = = Case Length, open length of the refrigerated case in feet (from

application)



3438.[3015.] Hours = Hours per year that case is in operation, use 8,760 unless otherwise indicated.

3439. 3440. Summary of Inputs

3441. EER = Compressor efficiency (Btu/hr-watt)

[3016.]

[3017.] 1000 = Conversion from watts to kW (W/kW).

[3018.]

[3019.] ΔkWh = gross customer annual kWh savings for the measure (kWh)

[3020.]

[3021.] Usage = hours per year[3022.] Commercial Refrigeration

3442.[3023.] [3024.] Compo

nent3443.[3025.] Type

3444.[3026.] Value 3445.[3027.] Source

[3028.] ESFHG 3446.[3029.] Fixed

3447.[3030.] 3448. 395 kWh/year-foot760

[3031.] 1,2,3,4,5 PG&E study by ENCON

Mechanical & Nuclear

Engineering, 1992

[3032.] HSFEF 3449.[3033.] Fixed

[3034.] 0.8510.5 Therms/year-foot 3450. 1,2,3,4,5PG&E study by ENCON

Mechanical & Nuclear

Engineering, 1992

3451.[3035.] CL

3452.[3036.] Variab

le

3453.[3037.] 3454.[3038.] Rebate

Application or Manufacturer

Data[3039.] EER [3040.] Fixed [3041.] 9.0 [3042.] Average based

on custom applications for the NJCEP C&I Program in 2010

[3043.]


[3024.] Component

3443.[3025.] Type

3444.[3026.] Value 3445.[3027.] Source

[3044.] UHoursUsage

3455.[3045.] Fixed

3456.[3046.] 8,760/year unless otherwise specified

3457. 3 Continuous

Operation365 days/year, 24

hours/day3458.[3047.]

3459.[3048.] Sources

1. Energy Use of Doored and Open Vertical Refrigerated Display , Brian Fricke and Bryan Becker, University of Missouri – Kansas City, 2010; presented at the 2010 International Refrigeration and Air Conditioning Conference, School of Mechanical Engineering, Purdue University, Paper #1154; available at: http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=2153&context=iracc http://docs.lib.purdue.edu/iracc/1154

2. Refrigeration COP of 2.2 used in derivation of savings factors – Kuiken et al, Focus on Energy Evaluation, Business Program: Deemed Savings Manual V 1.0, KEMA, March 22, 2010.

3. HVAC COP of 3.2 used in derivation of savings factors – ASHRAE Standards 90.1-2007 and 2013, Energy Standard for Buildings Except Low Rise Residential Buildings. https://www.ashrae.org/standards-research--technology/standards--guidelines, Table 6.8.1A.

4.[8.] Gas boiler efficiency of 80% used in derivation of savings factors – ASHRAE Standards 90.1-2007 and 2013, Energy Standard for Buildings Except Low Rise Residential Buildings. https://www.ashrae.org/standards-research--technology/standards--guidelines, Table 6.8.1F.

5. DOE Typical Meteorological Year (TMY3) data for Trenton, Newark, and Atlantic City.

3460. Aluminum Night Covers

3461. Commercial Refrigerators and Freezers[3049.] [3050.] This measure is applicable to replacement of existing open-type refrigerated display

cases where considerable heat is lost through an opening that is directly exposed to ambient air. commercial grade refrigeratorsThese retractable aluminum woven fabric covers provide a barrier between the contents of the case and the outside environment. They are employed during non-business hours to significantly reduce heat loss from these cases when contents need not be visible.

3462. Savings approximations are based on the report, “Effects of the Low Emissivity Shields on performance and Power use of a refrigerated display case,” by Southern California Edison, August 8, 1997. Southern California Edison (SCE) conducted this test at its state-of-the-art Refrigeration Technology and Test Center (RTTC), located in Irwindale, CA. The RTTC’s sophisticated instrumentation and data acquisition system provided detailed tracking of the refrigeration system’s critical temperature and pressure points during the test period. These readings were then utilized to quantify various heat transfer and power related parameters within the refrigeration cycle. The results of SCE’s test focused on three typical scenarios found mostly in supermarkets: low, medium and high temperature cases.


3463. 3464. Algorithms 3465. 3466. kWh Savings = W * H * F3467. 3468. Definition of Variables 3469. W = Width of protected opening in ft.3470. H = Hours per year covers are in place3471. F = Savings factor based on case temperature:3472. Low temperature (-35F to -5F) F = 0.1 kW/ft3473. Medium temperature (0F to 30F) F = 0.06 kW/ft3474. High temperature (35F to 55F) F = 0.04 kW/ft

3475. Walk-in Cooler/Freezer Evaporator Fan Control

3476. This measure is applicable to existing walk-in coolers and freezers that have evaporator fans which run continuously. with energy efficient glass and solid door units complying with ANSI/ASHRAE Standard 72-2005, Method of Testing Commercial Refrigerators and Freezers. The measure adds a control system feature to automatically shut off evaporator fans when the cooler’s thermostat is not calling for cooling. The measurement of energy savings for this measure is based on algorithms with key variables provided by manufacturer data or prescribed herein. These savings take into account evaporator fan shut off and associated savings as a result of less heat being introduced into the walk-in, as well as the savings from the compressor, which is now being controlled through electronic temperature control.

3477.[3051.] Several case studies have been performed that verify the accuracy of these savings. The algorithms below are based on field-tested approximations of energy savings realized through installation of National Resource Management Inc. (NRM)’s Cooltrol® energy management system. [1]

3478.3479.[3052.] Algorithms 3480.[3053.] 3481.[3054.] Gross kWh Savings = kWh SavingsEF + kWh SavingsRH + kWh SavingsEC

3482.3483.[3055.] kWh SavingsEF = ((AmpsEF * VoltsEF * (PhaseEF)1/2 )/1000) * 0.55 * 8,760 *

35.52%3484.3485.[3056.] kWh SavingsRH = kWh SavingsEF * 0.28 * 1.63486.3487.[3057.] kWh SavingsEC = (((AmpsCP * VoltsCP * (PhaseCP)1/2 )/1000) * 0.85 * ((35% * WH) + (55% * NWH)) * 5%) + (((AmpsEF * VoltsEF * (PhaseEF)1/2 )/1000) * 0.55 * 8,760 * 35.52% * 5%)3488.3489.[3058.] Gross kW Savings = ((AmpsEF * VoltsEF * (PhaseEF)1/2 )/1000) * 0.55 * D3490.


3491.[3059.] Definition of Variables3492. kWh SavingsEF = Savings due to Evaporator Fan being off3493. kWh SavingsRH = Savings due to reduced heat from Evaporator Fans3494. kWh SavingsEC = Savings due to the electronic controls on compressor and evaporator3495. AmpsEF = Nameplate Amps of Evaporator Fan3496. VoltsEF = Nameplate Volts of Evaporator Fan3497. PhaseEF = Phase of Evaporator Fan3498. 0.55 = Evaporator Fan Motor power factor3499. 8,760 = Annual Operating Hours3500. 35.52% = Percent of time Evaporator Fan is turned off. [2]3501. 0.28 = Conversion from kW to tons (Refrigeration)3502. 1.6 = Efficiency of typical refrigeration system in kW/ton [3]3503. AmpsCP = Nameplate Amps of Compressor3504. VoltsCP = Nameplate Volts of Compressor3505. PhaseCP = Phase of Compressor3506. 0.85 = Compressor power factor.3507. 35% = Compressor duty cycle during winter months (estimated)3508. WH = Compressor hours during winter months (2,195)3509. 55% = Compressor duty cycle during non-winter months (estimated)3510. NWH = Compressor hours during non-winter months (6,565)3511. 5% = Reduced run time of Compressor and Evaporator due to

electronic controls [4]3512. D = 0.228 or Diversity Factor [5]3513.

3514.[3060.] Sources

1. Several case studies related to NRM’s Cooltrol system can be found at: http://www.nrminc.com/national_resource_management_case_studies_cooltrol_cooler_control_systems.html.

2. This value is an estimate by NRM based on hundreds of downloads of hours of use data from the electronic controller. It is an ‘average’ savings number and has been validated through several Third Party Impact Evaluation Studies including study performed by HEC, “Analysis of Walk-in Cooler Air Economizers,” p. 22, Table 9, October 10, 2000 for National Grid.

3. Select Energy Services, Inc. Cooler Control Measure Impact Spreadsheet User’s Manual. 2004.Savings (kWh) = D * (Eb – Eq)

4.[9.] This percentage has been collaborated by several utility sponsored 3rd Party studies including study conducted by Select Energy Services for NSTAR, March 9, 2004.

5. Based on the report “Savings from Walk-In Cooler Air Economizers and Evaporator Fan Controls,” HEC, June 28, 1996.


3515. Cooler and Freezer Door Heater Control

3516. This measure is applicable to existing walk-in coolers and freezers that have continuously operating electric heaters on the doors to prevent condensation formation. This measure adds a control system feature to shut off the door heaters when the humidity level is low enough such that condensation will not occur if the heaters are off.

[3061.] This is performed by measuring the ambient humidity and temperature of the store, calculating the dewpoint, and using PWM (pulse width modulation) to control the anti-sweat heaters based on specific algorithms for freezer doors. The measurement of energy savings for this measure is based on algorithms with key variables provided by manufacturer data or prescribed herein.

3517. Several case studies have been performed that verify the accuracy of these savings. The algorithms below are based on field-tested approximations of energy savings realized through installation of National Resource Management Inc. (NRM)’s Cooltrol® energy management system. [1]

3518.3519.[3062.] Low Temperature (Freezer) Door Heater Control3520. 3521. Algorithms 3522. 3523. kWh Savings = (kWDH * 8,760) – ((40% * kWDH * 4,000) + (65% * kWDH * 4,760))3524. 3525. kW Savings = kWDH * 46% * 75%3526. 3527. Definition of Variables

3528. kWDH = Total demand (kW) of the freezer door heaters, based on nameplate volts and amps.3529. 8,760 = Annual run hours of Freezer Door Heater before controls.3530. 40% = Percent of total run power of door heaters with controls providing maximum reduction [2]3531. 4,000 = Number of hours door heaters run at 40% power.3532. 65% = Percent of total run power of door heaters with controls providing minimum reduction [3]3533. 4,760 = Number of hours door heaters run at 65% power.3534. 46% = Freezer Door Heater off time [3]3535. 75% = Adjustment factor to account for diversity and coincidence at peak demand

[2]3536.3537.[3063.] Medium Temperature (Cooler) Door Heater Control3538.3539.[3064.] Algorithms3540.3541.[3065.] Energy Savings (kWh/yr) = (kWDH * 8,760) – (60% * kWDH * 3,760)3542.


3543. Peak Demand Savings (kW) = kWDH * 74% * 75%kWh Savings/ (D * H)3544.[3066.] 3545.[3067.] Definition of Variables [3068.] D = Operating Days per Year (assume 365)[3069.] H = Daily Operating Hours (assume 24)[3070.] Eb = Daily kWh Consumption of Baseline Equipment (from Table 1 below)[3071.] Eq = Daily kWh Consumption of Qualifying Equipment (from Application)[3072.]

[3073.]

Proposed Equipment Type kWh Consumption (V = Unit Volume in ft 3)Glass Door Freezer 0.75V + 4.1Glass Door Refrigerator 0.12V + 3.34Solid Door Freezer 0.4V + 1.38Solid Door Refrigerator 0.1V + 2.04

Table 1: Baseline Equipment Daily kWh Consumption

[3074.] [3075.] kWDH = Total demand (kW) of the cooler door heaters, based on nameplate volts and amps.3546. 8,760 = Annual run hours of Cooler Door Heater before controls.3547. 60% = Percent of total run power of door heaters with controls providing minimum reduction.2 3548. 3,760 = Number of hours door heaters run at 60% power.3549. 74% = Cooler Door Heater off time [3]3550. 75% = Adjustment factor to account for diversity and coincidence at peak demand

[2]3551. 3552. Sources : [3076.] Savings algorithm, baseline values, assumed values and lifetimes developed from

information on the Food Service Technology Center program’s website, www.fishnick.com, by Fisher-Nickel, Inc. and funded by California utility customers and administered by Pacific Gas and Electric Company under the auspices of the California Public Utility Commission.

[3077.] [1.] Several case studies related to NRM’s Cooltrol system can be found at:

http://www.nrminc.com/national_resource_management_case_studies_cooltrol_cooler_control_systems.html

1. Estimated by NRM based on their experience of monitoring the equipment at various sites.2. This value is an estimate by National Resource Management based on hundreds of

downloads of hours of use data from Door Heater controllers. This supported by 3rd Party Analysis conducted by Select Energy for NSTAR, “Cooler Control Measure Impact Spreadsheet Users’ Manual,” P.5, March 9, 2004.

3553. Electric Defrost Control

3554. This measure is applicable to existing evaporator fans with a traditional electric defrost mechanism. This control system overrides defrost of evaporator fans when


unnecessary, reducing annual energy consumption. The estimates for savings take into account savings from reduced defrosts as well as the reduction in heat gain from the defrost process.

3555. Independent Testing was performed by Intertek Testing Service on a Walk-in Freezer that was retrofitted with Smart Electric Defrost capability. A baseline of 28 electric defrosts per week were established as the baseline for a two week period without the Smart Electric Defrost capability. With Smart Electric Defrost capability an average skip rate of 43.64% was observed for the following two week period.

3556.3557.[3078.] Algorithms3558.3559.[3079.] Gross kWh Savings = kWh SavingsDefrost + kWh SavingsRH

3560.3561.[3080.] kWh SavingsDefrost = KWDefrost * 0.667 * 4 * 365 * 35%3562.3563.[3081.] kWh SavingsRH = kWh SavingsDefrost * 0.28 * 1.63564.3565.[3082.] Definition of Variables3566. kWh SavingsDefrost = Savings due to reduction of defrosts3567. kWh SavingsRH = Savings due to reduction in refrigeration load3568. KWDefrost = Nameplate Load of Electric Defrost3569. 0.667 = Average Length of Electric Defrost in hours3570. 4 = Average Number of Electric Defrosts per day3571. 365 = Number of Days in Year3572. 35% = Average Number of Defrosts that will be eliminated in year3573. 0.28 = Conversion from kW to tons (Refrigeration)3574. 1.6 = Efficiency of typical refrigeration system in kW/ton [1]3575.[3083.] 3576.[3084.] Sources

1. Select Energy Services, Inc. Cooler Control Measure Impact Spreadsheet User’s Manual. 2004.

3577. Novelty Cooler Shutoff

3578. This measure is applicable to existing reach-in novelty coolers which run continuously. The measure adds a control system feature to automatically shut off novelty coolers based on pre-set store operating hours. Based on programmed hours, the control mechanism shuts off the cooler at end of business, and begins operation on reduced cycles. Regular operation begins the following day an hour before start of business. The measurement of energy savings for this measure is based on algorithms with key variables provided by manufacturer data or prescribed herein.

3579. Several case studies have been performed that verify the accuracy of these savings. The algorithms below are based on field-tested approximations of energy savings realized


through installation of National Resource Management Inc. (NRM)’s Cooltrol® energy management system. [1]

3580. Algorithms3581.3582.[3085.] kWh Savings = (((AmpsNC * VoltsNC * (PhaseNC)1/2 )/1000) * 0.85) * ((0.45 * ((CH – 1) * 91)) + (0.5 * ((CH – 1) * 274)))3583.3584.[3086.] Definition of Variables

3585. AmpsNC = Nameplate Amps of Novelty Cooler3586. VoltsNC = Nameplate Volts of Novelty Cooler3587. PhaseNC = Phase of Novelty Cooler3588. 0.85 = Novelty Cooler power factor [2]3589. 0.45 = Duty cycle during winter month nights [3]3590. CH = Closed Store hours3591. 91 = Number of days in winter months3592. 0.5 = Duty cycle during non-winter month nights [3]3593. 274 = Number of days in non-winter months

3594. Sources

1. Several case studies related to NRM’s Cooltrol system can be found at: http://www.nrminc.com/national_resource_management_case_studies_cooltrol_cooler_control_systems.html.

2. Estimated by NRM based on their experience of monitoring the equipment at various sites.3. Duty Cycles are consistent with third-party study done by Select Energy for NSTAR “Cooler

Control Measure Impact Spreadsheet Users Manual,” p. 5, March 9, 2004.3595.


3596. Food Service Measures Protocols3597.[3087.] Energy efficient electric or natural gas cooking equipment of the following listed types utilized in commercial food service applications which have performance rated in accordance with the listed ASTM standards:

Electric and gas combination oven/steamer – ASTM F2861

Gas convection ovens – ASTM F1496

Gas conveyor ovens – ASTM F1817

Gas rack ovens – ASTM F2093

Electric and gas small vat fryers – ASTM F1361

Electric and gas large vat fryers – ASTM F2144

Electric and gas steamers – ASTM F1484

Electric and gas griddles – ASTM F1275

Hot food holding cabinets –CEE Tier II

Commercial dishwashers – ENERGY STARRefrigerators, Freezers – ENERGY STAR

Ice Machines – ARI Standard 810

3598. Electric and Gas Combination Oven/Steamer3599.[3088.] The measurement of energy savings for this measure is based on algorithms

with key variables provided by manufacturer data or prescribed herein.3600. 3601. Algorithms 3602. 3603. Energy Savings (kWh/yr or Therms/yr) = D*(Ep + Eic + Eis + Ecc + Ecs)3604. 3605. Peak Demand Savings (kW) = kWh Savings/(D*H)3606.3607.[3089.] Preheat Savings† : Ep = P*(PEb – PEq)3608.3609.[3090.] Convection Mode Idle Savings† : Eic = (Icb – Icq)*((H – (P*Pt)) – (Icb/PCcb – Icq/PCcq)*Lbs)*(1 – St)3610.3611.[3091.] Steam Mode Idle Savings† : Eis = (Isb – Isq)*((H – (P*Pt)) – (Isb/PCsb –

Isq/PCsq)*Lbs)*St

3612.


3613.[3092.] Convection Mode Cooking Savings: Ecc = Lbs*(1-St)*Heatc*(1/Effcb – 1/Effcq)/C

3614.3615.[3093.] Steam Mode Cooking Savings: Ecs = Lbs*St*Heats*(1/Effsb – 1/Effsq)/C3616.3617.[3094.] † – For gas equipment, convert these intermediate values to therms by dividing the result by 100,000 Btu/therm3618.3619.[3095.] Definition of Variables 3620. (See tables of values below for more information) 3621. C = Conversion Factor from Btu to kWh or Therms3622. D = Operating Days per Year3623. Effcb = Baseline Equipment Convection Mode Cooking Efficiency3624. Effcq = Qualifying Equipment Convection Mode Cooking Efficiency3625. Effsb = Baseline Equipment Steam Mode Cooking Efficiency3626. Effsq = Qualifying Equipment Steam Mode Cooking Efficiency3627. H = Daily Operating Hours3628. Heatc = Convection Mode Heat to Food3629. Heats = Steam Mode Heat to Food3630. Icb = Baseline Equipment Convection Mode Idle Energy Rate3631. Icq = Qualifying Equipment Convection Mode Idle Energy Rate3632. Isb = Baseline Equipment Steam Mode Idle Energy Rate3633. Isq = Qualifying Equipment Steam Mode Idle Energy Rate3634. Lbs = Total Daily Food Production3635. P = Number of Preheats per Day3636. PCcb = Baseline Equipment Convection Mode Production Capacity3637. PCcq = Qualifying Equipment Convection Mode Production Capacity3638. PCsb = Baseline Equipment Steam Mode Production Capacity3639. PCsq = Qualifying Equipment Steam Mode Production Capacity3640. PEb = Baseline Equipment Preheat Energy3641. PEq = Qualifying Equipment Preheat Energy3642. Pt = Preheat Duration3643. St = Percentage of Time in Steam Mode3644.



3646.

<15 Pans 15-28 Pans >28 Pans <15 Pans 15-28 Pans >28 PansD - Operating Days per Year Table 3 Table 3 Table 3 Table 3 Table 3 Table 3P - Number of Preheats per Day 1 1 1 1 1 1PEb & PEq - Preheat Energy (kWh) 3.00 3.75 5.63 1.50 2.00 3.00Icb & Icq - Convection Mode Idle Energy Rate (kW) 3.00 3.75 5.25 Application Application ApplicationH - Operating Hours per Day Table 3 Table 3 Table 3 Table 3 Table 3 Table 3Pt - Preheat Duration (hrs) 0.25 0.25 0.25 0.25 0.25 0.25PCcb & PCcq - Convection Mode Prod. Capacity (lbs/hr) 80 100 275 100 125 325Lbs - Total Daily Food Production (lbs) 200 250 400 200 250 400St - Percentage of Time in Steam Mode 50% 50% 50% 50% 50% 50%Isb & Isq - Steam Mode Idle Energy Rate (kW) 10.0 12.5 18.0 Application Application ApplicationPCsb & PCsq - Steam Mode Prod. Capacity (lbs/hr) 100 150 350 120 200 400Heatc - Convection Heat to Food (Btu/lb) 250 250 250 250 250 250Effcb & Effcq - Convection Mode Cooking Efficiency 65% 65% 65% Application Application ApplicationC - Btu/kWh 3,412 3,412 3,412 3,412 3,412 3,412Heats - Steam Heat to Food (Btu/lb) 105 105 105 105 105 105Effsb & Effsq - Steam Mode Cooking Efficiency 40% 40% 40% Application Application Application

Baseline QualifyingTable 1: Electric Combination Oven/Steamers

Variable

3647. 3648.

<15 Pans 15-28 Pans >28 Pans <15 Pans 15-28 Pans >28 PansD - Operating Days per Year Table 3 Table 3 Table 3 Table 3 Table 3 Table 3P - Number of Preheats per Day 1 1 1 1 1 1PEb & PEq - Preheat Energy (Btu) 18,000 22,000 32,000 13,000 16,000 24,000Icb & Icq - Convection Mode Idle Energy Rate (Btu/h) 15,000 20,000 30,000 Application Application ApplicationH - Operating Hours per Day Table 3 Table 3 Table 3 Table 3 Table 3 Table 3Pt - Preheat Duration (h) 0.25 0.25 0.25 0.25 0.25 0.25PCcb & PCcq - Convection Mode Prod. Capacity (lbs/h) 80 100 275 100 125 325Lbs - Total Daily Food Production (lbs) 200 250 400 200 250 400St - Percentage of Time in Steam Mode 50% 50% 50% 50% 50% 50%Isb & Isq - Steam Mode Idle Energy Rate (kW) 45,000 60,000 80,000 Application Application ApplicationPCsb & PCsq - Steam Mode Prod. Capacity (lbs/h) 100 150 350 120 200 400Heatc - Convection Heat to Food (Btu/lb) 250 250 250 250 250 250Effcb & Effcq - Convection Mode Cooking Efficiency 35% 35% 35% Application Application ApplicationC - Btu/Therm 100,000 100,000 100,000 100,000 100,000 100,000Heats - Steam Heat to Food (Btu/lb) 105 105 105 105 105 105Effsb & Effsq - Steam Mode Cooking Efficiency 20% 20% 20% Application Application Application

Baseline QualifyingTable 2: Gas Combination Oven/Steamers

Variable

3649. 3650. 3651.


3652.

Building Type Days/Year Hours/DayEducation - Primary School 180 8Education - Secondary School 210 11Education - Community College 237 16Education - University 192 16Grocery 364 16Medical - Hospital 364 24Medical - Clinic 351 12Lodging Hotel (Guest Rooms) 229 5Lodging Motel 364 24Manufacturing - Light Industrial 330 13Office - Large 234 12Office - Small 234 12Restaurant - Sit-Down 364 12Restaurant - Fast-Food 364 17Retail - 3-Story Large 355 12Retail - Single-Story Large 364 12Retail - Small 364 11Storage Conditioned 330 13Storage Heated or Unconditioned 330 13Warehouse 325 12Average = Miscellaneous 303 14

Table 3: Operating Days/Hours by Building Type

3653.3654.[3096.] Sources

3655. Savings algorithm, baseline values, assumed values and lifetimes developed from information on the Food Service Technology Center program’s website, www.fishnick.com, by Fisher-Nickel, Inc. and funded by California utility customers and administered by Pacific Gas and Electric Company under the auspices of the California Public Utility Commission. Values for Tables 1 and 2 from PG&E Work Paper PGECOFST100, “Commercial Combination Ovens/Steam –Electric and Gas,” Revision 6, 2016.


3656. Electric and Gas Convection Ovens, Gas Conveyor and Rack Ovens, Steamers, Fryers, and Griddles

3657.[3097.] The measurement of energy savings for these measures are based on algorithms with key variables provided by manufacturer data or prescribed herein.

3658. 3659. Algorithms 3660. 3661. Energy Savings (kWh/yr or Therms/yr) = D * (Ep + Ei + Ec)3662. 3663. Peak Demand Savings (kW) = kWh Savings / (D * H)3664.3665.[3098.] Preheat Savings† : Ep = P * (PEb – PEq)3666.3667.[3099.] Idle Savings† : Ei = (Ib – Iq) * ((H – (P*Pt)) – (Ib/PCb – Iq/PCq) * Lbs)3668.3669.[3100.] Cooking Savings: Ec = Lbs * Heat * (1/Effb – 1/Effq) / C3670. 3671. † – For gas equipment, convert these intermediate values to therms by dividing the result by 100,000 Btu/therm3672. 3673. Definition of Variables 3674. (See tables of values below for more information) 3675. D = Operating Days per Year3676. P = Number of Preheats per Day3677. PEb = Baseline Equipment Preheat Energy3678. PEq = Qualifying Equipment Preheat Energy3679. I b = Baseline Equipment Idle Energy Rate3680. I q = Qualifying Equipment Idle Energy Rate3681. H = Daily Operating Hours3682. P t = Preheat Duration3683. PCb = Baseline Equipment Production Capacity3684. PCq = Qualifying Equipment Production Capacity3685. Lbs = Total Daily Food Production3686. Heat = Heat to Food3687. Effb = Baseline Equipment Convection Mode Cooking Efficiency3688. Effq = Qualifying Equipment Convection Mode Cooking Efficiency3689. C = Conversion Factor from Btu to kWh or Therms3690.



3692.

Full Size Half Size Full Size Half SizeD - Operating Days per Year Table 11 Table 11 Table 11 Table 11P - Number of Preheats per Day 1 1 1 1PEb & PEq - Preheat Energy (kWh) 1.50 1.00 1.00 0.90Ib & Iq - Idle Energy Rate (kW) 2.00 1.50 Application ApplicationH - Operating Hours per Day Table 11 Table 11 Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 70 45 82 53Lbs - Total Daily Food Production (lbs) 100 100 100 100Heat - Heat to Food (Btu/lb) 250 250 250 250Effb & Effq - Heavy Load Cooking Efficiency 65% 65% Application ApplicationC - Btu/kWh 3,412 3,412 3,412 3,412

Table 1: Electric Convection Ovens

VariableBaseline Qualifying

3693. Source: PGECOFST101 R6, “Commercial Convection Oven – Electric and Gas,” 2016.

3694.

3695.

Full Size Half Size Full Size Half SizeD - Operating Days per Year Table 11 Table 11 Table 11 Table 11P - Number of Preheats per Day 1 1 1 1PEb & PEq - Preheat Energy (Btu) 19,000 13,000 11,000 7,500Ib & Iq - Idle Energy Rate (Btu/h) 18,000 12,000 Application ApplicationH - Operating Hours per Day Table 11 Table 11 Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 70 45 83 55Lbs - Total Daily Food Production (lbs) 100 100 100 100Heat - Heat to Food (Btu/lb) 250 250 250 250Effb & Effq - Heavy Load Cooking Efficiency 30% 30% Application ApplicationC - Btu/Therm 100,000 100,000 100,000 100,000

Table 2: Gas Convection Ovens


3696. Source: PGECOFST101 R6, “Commercial Convection Oven – Electric and Gas,” 2016.

3697.

3698.

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (Btu) 35,000 18,000Ib & Iq - Idle Energy Rate (Btu/hr) 70,000 ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 114 167Lbs - Total Daily Food Production (lbs) 190 190Heat - Heat to Food (Btu/lb) 250 250Effb & Effq - Heavy Load Cooking Efficiency 20% ApplicationC - Btu/Therm 100,000 100,000

Table 3: Gas Conveyor Ovens

3699. Source: PGECOFST117 R5, “Commercial Conveyor Oven– Gas,” 2014.


3700.

3701.

Double Rack Single Rack Double Rack Single RackD - Operating Days per Year Table 11 Table 11 Table 5 Table 5P - Number of Preheats per Day 1 1 1 1PEb & PEq - Preheat Energy (Btu) 100,000 50,000 85,000 44,000Ib & Iq - Idle Energy Rate (Btu/h) 65,000 43,000 Application ApplicationH - Operating Hours per Day Table 11 Table 11 Table 5 Table 5Pt - Preheat Duration (hrs) 0.33 0.33 0.33 0.33PCb & PCq - Production Capacity (lbs/hr) 250 130 280 140Lbs - Total Daily Food Production (lbs) 1200 600 1200 600Heat - Heat to Food (Btu/lb) 235 235 235 235Effb & Effq - Heavy Load Cooking Efficiency 30% 30% Application ApplicationC - Btu/Therm 100,000 100,000 100,000 100,000

Table 4: Gas Rack Ovens


3702. Source: PGECOFST109, “Commercial Rack Oven– Gas,” 2016.3703.

3704.

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (kWh) 1.50 1.50Ib & Iq - Idle Energy Rate (kW) 0.167 x No. of Pans ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 11.7 x No. of Pans 14.7 x No. of PansLbs - Total Daily Food Production (lbs) 100 100Heat - Heat to Food (Btu/lb) 105 105Effb & Effq - Heavy Load Cooking Efficiency 26% ApplicationC - Btu/kWh 3,412 3,412

Table 5: Electric Steamers

3705. Source: PGECOFST104 R6, “Commercial Steam Cooker – Electric and Gas,” 2016.3706.

3707.

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (Btu) 20,000 9,000Ib & Iq - Idle Energy Rate (Btu/h) 2,500 x No. of Pans ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 23.3 x No. of Pans 20.8 x No. of PansLbs - Total Daily Food Production (lbs) 100 100Heat - Heat to Food (Btu/lb) 105 105Effb & Effq - Heavy Load Cooking Efficiency 15% ApplicationC - Btu/Therm 100,000 100,000

Table 6: Gas Steamers

3708. Source: PGECOFST104 R6, “Commercial Steam Cooker – Electric and Gas,” 2016.3709. 3710.


3711.

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (kWh) 2.40 1.90Ib & Iq - Idle Energy Rate (kW) 1.2 ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 71 71Lbs - Total Daily Food Production (lbs) 150 150Heat - Heat to Food (Btu/lb) 570 570Effb & Effq - Heavy Load Cooking Efficiency 75% ApplicationC - Btu/kWh 3,412 3,412

Table 7: Electric Fryers

3712. Source: PGECOFST102 R6, “Commercial Fryer – Electric and Gas,” 2016.3713.

3714.

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (Btu) 18,500 16,000Ib & Iq - Idle Energy Rate (Btu/h) 17,000 ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 75 75Lbs - Total Daily Food Production (lbs) 150 150Heat - Heat to Food (Btu/lb) 570 570Effb & Effq - Heavy Load Cooking Efficiency 35% ApplicationC - Btu/Therm 100,000 100,000

Table 8: Gas Fryers

3715. Source: PGECOFST102 R6, “Commercial Fryer – Electric and Gas,” 2016.3716.

3717.

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (kWh) 1.3 x Griddle Width (ft) 0.7 x Griddle Width (ft)Ib & Iq - Idle Energy Rate (kW) 0.8 x Griddle Width (ft) ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 11.7 x Griddle Width (ft) 13.3 x Griddle Width (ft)Lbs - Total Daily Food Production (lbs) 100 100Heat - Heat to Food (Btu/lb) 475 475Effb & Effq - Heavy Load Cooking Efficiency 60% ApplicationC - Btu/kWh 3,412 3,412

Table 9: Electric Griddles

3718. Source: PGECOFST103 R7, “Commercial Griddle – Electric and Gas,” 2016.3719.


3720.

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (Btu) 7,000 x Griddle Width (ft) 5,000 x Griddle Width (ft)Ib & Iq - Idle Energy Rate (Btu/h) 7,000 x Griddle Width (ft) ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 8.3 x Griddle Width (ft) 15 x Griddle Width (ft)Lbs - Total Daily Food Production (lbs) 100 100Heat - Heat to Food (Btu/lb) 475 475Effb & Effq - Heavy Load Cooking Efficiency 30% ApplicationC - Btu/Therm 100,000 100,000

Table 10: Gas Griddles

3721. Source: PGECOFST103 R7, “Commercial Griddle – Electric and Gas,” 2016.3722.

3723.



3724. 3725. Sources

3726. Savings algorithm, baseline values, assumed values and lifetimes developed from information on the Food Service Technology Center program’s website, www.fishnick.com, by Fisher-Nickel, Inc. and funded by California utility customers and administered by Pacific Gas and Electric Company under the auspices of the California Public Utility Commission. Baseline efficiency and idle load rate values developed based on Fishnick Food Service Technology Center LEED suggested baselines and prescriptive measures, 2011.

3727.


3728. Insulated Food Holding Cabinets3729.[3101.] The measurement of energy savings for this measure is based on algorithms

with key variables provided by manufacturer data or prescribed herein.3730. 3731. Algorithms 3732. 3733. Energy Savings (kWh/yr) = D * H * (Ib – Iq)3734. 3735. Peak Demand Savings (kW) = Ib – Iq

3736.3737.[3102.] Definition of Variables 3738. (See tables of values below for more information) 3739. D = Operating Days per Year3740. H = Daily Operating Hours3741. I b = Baseline Equipment Idle Energy Rate3742. I q = Qualifying Equipment Idle Energy Rate3743.


3745.

Full Size 3/4 Size 1/2 Size Full Size 3/4 Size 1/2 SizeD - Operating Days per Year Table 2 Table 2 Table 2 Table 2 Table 2 Table 2Ib & Iq - Idle Energy Rate (kW) 1.00 0.69 0.38 Application Application ApplicationH - Operating Hours per Day Table 2 Table 2 Table 2 Table 2 Table 2 Table 2

Table 1: Insulated Food Holding Cabinets


3746. Source: PGECOFST105 R5, “Insulated Holding Cabinet – Electric,” 2016.3747.


3748.



3749.

3750. Sources

3751. Savings algorithm, baseline values, assumed values and lifetimes developed from information on the Food Service Technology Center program’s website, www.fishnick.com, by Fisher-Nickel, Inc. and funded by California utility customers and administered by Pacific Gas and Electric Company under the auspices of the California Public Utility Commission.

3752. Commercial Dishwashers3753. This measure is applicable to replacement of existing dishwashers with energy

efficient under counter, door type, single-rack and multi-rack conveyor machines testing in accordance with NSF/ANSI 3-2007, ASTM F1696, and ASTM F1920 standards. The measurement of energy savings for this measure is based on algorithms with key variables provided by manufacturer data or prescribed herein.

3754.3755.[3103.] Algorithms 3756. 3757. Energy Savings (kWh/yr or Therms/yr) = EBuild + EBoost + EIdle

3758. 3759. Peak Demand Savings (kW) = kWh Savings/87603760.3761.[3104.] Note: Depending on water heating system configuration (e.g. gas building

water heater with electric booster water heater), annual energy savings may be reported in both therms and kWh.

3762.


3763.[3105.] Definition of Variables3764. E Build = Annual Building Water Heater Energy Savings, in kWh or Therms (from tables below)3765. E Boost = Annual Booster Water Heater Energy Savings, in kWh or Therms (from tables below)3766. E Idle = Annual Dishwasher Idle Energy Savings, in kWh (from tables below)3767. 8760 = Hours per Year3768. 3769. Summary of Inputs 3770.

3771.

Dishwasher Type

Electric Building Water Heater Savings (kWh)

Gas Building Water Heater

Savings (Therms)

Electric Booster Water Heater Savings (kWh)

Gas Booster Water Heater

Savings (Therms)

Idle Energy Savings (kWh)

Under Counter

1,213 56.2 0 0.0 0

Door Type 12,135 562.1 0 0.0 0Single Tank Conveyor

11,384 527.3 0 0.0 0

Multi Tank Conveyor

17,465 809.0 0 0.0 0

Table 1: Low Temperature Dishwasher Savings

3772.

3773.

Dishwasher Type



Savings (Therms)



Savings (Therms)


Under Counter

4,754 220.2 2,717 110.1 0

Door Type 8,875 411.1 5,071 205.5 198Single Tank Conveyor

11,126 515.3 6,358 257.7 1,752

Multi Tank Conveyor

21,734 1,006.7 12,419 503.3 0

Table 2: High Temperature Dishwasher Savings

3774. 3775. Sources

3776. Savings algorithm, baseline values, assumed values and lifetimes developed from information on the Food Service Technology Center program’s website, www.fishnick.com, by Fisher-Nickel, Inc. and funded by California utility customers and administered by Pacific Gas and Electric Company under the auspices of the California Public Utility Commission and from the Savings Calculator for ENERGY STAR Qualified Commercial Kitchen Equipment.

3777. Commercial Refrigerators and Freezers3778. This measure is applicable to replacement of existing commercial grade refrigerators

and freezers with energy efficient glass and solid door units complying with ANSI/ASHRAE Standard 72-2005, Method of Testing Commercial Refrigerators


and Freezers. The measurement of energy savings for this measure is based on algorithms with key variables provided by manufacturer data or prescribed herein.

3779.3780.[3106.] Algorithms3781.3782.[3107.] Energy Savings (kWh/yr) = D * (Eb – Eq)3783. 3784. Peak Demand Savings (kW) = kWh Savings/ (D * H)3785. 3786. Definition of Variables 3787. D = Operating Days per Year (assume 365)3788. H = Daily Operating Hours (assume 24)3789. E b = Daily kWh Consumption of Baseline Equipment (from Table 1 below)3790. E q = Daily kWh Consumption of Qualifying Equipment (from Application)3791.


3793.

Proposed Equipment Type kWh Consumption (V = Unit Volume in ft 3)Glass Door Freezer 0.75V + 4.1Glass Door Refrigerator 0.12V + 3.34Solid Door Freezer 0.4V + 1.38Solid Door Refrigerator 0.1V + 2.04

Table 1: Baseline Equipment Daily kWh Consumption

3794. 3795. Sources

3796. Savings algorithm, baseline values, assumed values and lifetimes developed from information on the Food Service Technology Center program’s website, www.fishnick.com, by Fisher-Nickel, Inc. and funded by California utility customers and administered by Pacific Gas and Electric Company under the auspices of the California Public Utility Commission.

3797. Commercial Ice Machines[3108.] This measure is applicable to replacement of existing ice makers with energy

efficient, air-cooled ice machines tested in accordance with ARI Standard 810. The measurement of energy savings for this measure is based on algorithms with key variables provided by manufacturer data or prescribed herein.

3798.[3109.] 3799.[3110.] Algorithms 3800.[3111.] [3112.] Annual Energy Savings (kWh) = D * DC * (IHR/100) * (Eb – Eq)3801.[3113.] 3802.[3114.] Peak Demand Savings (kW) = kWh Savings / (D * 24 * DC)3803.[3115.] 3804.[3116.] Definition of Variables 3805.[3117.] D = Operating Days per Year (assume 365)


3806.[3118.] DC = Duty Cycle, defined as Ice Harvest Rate/Actual Daily Ice Production (assume 75%)

3807.[3119.] IHR = Proposed Equipment Ice Harvest Rate in lbs/day (from Application)3808.[3120.] Eb = kWh Consumption of Baseline Equipment in kWh/100 lbs (from

Table 1 below)3809.[3121.] Eq = kWh Consumption of Qualifying Equipment in kWh/100 lbs (from

Application)3810.[3122.] 24 = Hours per Day3811.[3123.]

3812.[3124.] Summary of Inputs

3813.

Ice Harvest Rate (lbs/day) Baseline Energy Consumption (kWh/100 lbs)0-100 18.0

101-200 16.0201-300 11.0301-400 8.5401-500 7.6501-1000 6.9

1001-1500 6.41501 6.1

Table 1: Baseline Energy Consumption

3814.[3125.] [3126.] Sources :

3815.[3127.] Savings algorithm, baseline values, assumed values and lifetimes developed from information on the Food Service Technology Center program’s website, www.fishnick.com, by Fisher-Nickel, Inc. and funded by California utility customers and administered by Pacific Gas and Electric Company under the auspices of the California Public Utility Commission.

3816.[3128.]

[3129.] Commercial Dishwashers

[3130.] This measure is applicable to replacement of existing dishwashers with energy efficient under counter, door type, single-rack and multi-rack conveyor machines testing in accordance with NSF/ANSI 3-2007, ASTM F1696, and ASTM F1920 standards. The measurement of energy savings for this measure is based on algorithms with key variables provided by manufacturer data or prescribed herein.

[3131.] [3132.] Algorithms [3133.] [3134.] Annual Energy Savings (kWh or Therms) = EBuild + EBoost + EIdle

[3135.] [3136.] Demand Savings (kW) = kWh Savings/8760[3137.]


[3138.] Note : Depending on water heating system configuration (e.g. gas building water heater with electric booster water heater), annual energy savings may be reported in both therms and kWh.

[3139.] [3140.] Definition of Variables [3141.] [3142.] EBuild = Annual Building Water Heater Energy Savings, in kWh or Therms (from

tables below)[3143.] EBoost = Annual Booster Water Heater Energy Savings, in kWh or Therms (from

tables below)[3144.] EIdle = Annual Dishwasher Idle Energy Savings, in kWh (from tables below)[3145.] 8760 = Hours per Year[3146.]

[3147.]

Dishwasher Type



Savings (Therms)



Savings (Therms)


Under Counter

1,213 56.2 0 0.0 0

Door Type 12,135 562.1 0 0.0 0Single Tank Conveyor

11,384 527.3 0 0.0 0

Multi Tank Conveyor

17,465 809.0 0 0.0 0

Table 1: Low Temperature Dishwasher Savings

[3148.]

[3149.]

Dishwasher Type



Savings (Therms)



Savings (Therms)


Under Counter

4,754 220.2 2,717 110.1 0

Door Type 8,875 411.1 5,071 205.5 198Single Tank Conveyor

11,126 515.3 6,358 257.7 1,752

Multi Tank Conveyor

21,734 1,006.7 12,419 503.3 0

Table 2: High Temperature Dishwasher Savings

[3150.] [3151.] Sources:[3152.] Savings algorithm, baseline values, assumed values and lifetimes developed from

information on the Food Service Technology Center program’s website, www.fishnick.com, by Fisher-Nickel, Inc. and funded by California utility customers and administered by Pacific Gas and Electric Company under the auspices of the California Public Utility Commission and from the Savings Calculator for ENERGY STAR Qualified Commercial Kitchen Equipment.


[3153.] C&I Construction Gas Protocols[3154.] For measures installed as part of the Direct Install program, different baselines will

be utilized to estimate savings as defined further in the Direct Install section of these Protocols.

[3155.] [3156.] The following The following measures are outlined in this section: Gas Chillers, Gas

Fired Dessicants, Water Heating Equipment, Space Heating Equipment, and Fuel Use Economizers.

3817. fuel conversions will be used to calculate energy savings for propane and oil equipment for all eligible C&I programs including C&I Construction, Direct Install, and Pay for Performance.

[3157.] [3158.] 1 therm of gas = 1.087 gal of propane = 0.721 gal of #2 oil[3159.] [3160.] 1 therm = 100,000 Btu[3161.] 1 gal of propane = 92,000 Btu[3162.] 1 gal of #2 oil = 138,700 Btu[3163.]

[3164.] Gas Chillers

[3165.] The measurement of energy savings for C&I gas fired chillers and chiller heaters is based on algorithms with key variables captured on the application form or from manufacturer’s(i.e., Equivalent Full Load Hours, Vacuum Boiler Efficiency, Input Rating, Coincidence Factor) provided by manufacturer data sheets and collaborative/utility studies.or measured through existing end-use metering

[3166.] For certain fixed components, studies and surveys developed by the utilities in the State or based on a review of manufacturer’s data, other utilities, regulatory commissions or consultants’ reports will be used to update the values for future filings. a sample of facilities.

3818.3819.[3167.] Algorithms 3820.[3168.] [3169.] Winter Gas Savings (MMBtu/yr) = (VBEq – BEb)/VBEq *X IR *X EFLH 3821.[3170.] [3171.] Electric Demand Savings = Tons X (kW/Tonb – kW/Tongc) X CF [3172.] [3173.] Electric Energy Savings (kWh/yr) = Tons *X (kW/Tonb – kW/Tongc) *X EFLH 3822.[3174.] [3175.] Summer Gas Usage (MMBtu/yr) = MMBtu Output Capacity / COP *X EFLH 3823.[3176.] [3177.] Net Energy Savings (kWh/yr) == Electric Energy Savings + Winter Gas Savings –

Summer Gas Usage


3824.[3178.] 3825. Peak Demand Savings (kW) = Tons * (kW/Tonb – kW/Tongc) * CF 3826.3827.[3179.] Definition of Terms 3828.[3180.] VBEq = Vacuum Boiler Efficiency3829.[3181.] BEb = Efficiency of the baseline gas boiler[3182.] IR = Input Rating = MMBtuTherms/hour [3183.] Tons = The rated capacity of the chiller (in tons) at site design conditions accepted

by the program.3830.[3184.] kW/Tonb = The baseline efficiency for electric chillers, as shown in the Gas Chiller Verification Summary table below.3831.[3185.] kW/Tongc = Parasitic electrical requirement for gas chiller.3832.[3186.] COP = Efficiency of the gas chiller3833.[3187.] MMBtu Output Capacity = Cooling Capacity of gas chiller in MMBtu.[3188.] CF = Coincidence Factor. This value represents the percentage of the total load that is on during electric system peak.[3189.] EFLH = Equivalent Full Load Hours. This represents a measure of chiller use by

season.3834.[3190.] 3835.[3191.] Summary of Inputs

3836. Gas Chillers[3192.]


3838.[3194.] Type

3839.[3195.] Value 3840.[3196.] Source

3841.[3197.] VBEq

3842.[3198.] Variable

3843.[3199.] 3844.[3200.] Rebate

Application or

Manufacturer Data



3838.[3194.] Type

3839.[3195.] Value 3840.[3196.] Source

3845.[3201.] BEb

3846.[3202.] Fixed

3847.[3203.] 75%80% Et

3848.[3204.] ASHRAE

90.1-2013 Table 6.8.1

– 63849.[3205.]

3850.[3206.] Assumes a

baseline hot water boiler with rated input >300 MBh and ≤

2,500 MBh.

3851.[3207.] IR 3852.[3208.] Variable

3853.[3209.] 3854.[3210.] Rebate

Application or

Manufacturer Data

3855.[3211.] Tons

3856.[3212.] Variable

3857.[3213.] 3858.[3214.] Rebate

Application3859.[3215.] M

MBtu 3860.[3216.] V

ariable3861.[3217.] 3862.[3218.] R

ebate Application



3838.[3194.] Type

3839.[3195.] Value 3840.[3196.] Source

3863.[3219.] kW/Tonb

3864.[3220.] Fixed

3865.[3221.] <100 tones

3866.[3222.] 1.25 kW/ton

3867.[3223.] 3868.[3224.] 100 to

< 150 tons3869.[3225.] 0.703

kW/ton3870.[3226.]

3871.[3227.] 150 to <300 tons:

3872.[3228.] 0.634 kW/Ton

3873.[3229.] 3874.[3230.] 300

tons or more:3875.[3231.] 0.577

kW/ton3876.[3232.]

3877.[3233.] Collaborative agreement

and C/I baseline

study3878.[3234.]

3879.[3235.] Assumes new

electric chiller

baseline using air

cooled unit for chillers less than 100 tons;

water cooled for

chillers greater than

100 tons3880.[3236.] kW/

Tongc

3881.[3237.] Variable

3882.[3238.] 3883.[3239.] Manufacturer

Data3884.[3240.] C

OP3885.[3241.] V

ariable3886.[3242.] 3887.[3243.] M

anufacturer Data

3888.[3244.] CF 3889.[3245.] Fixed

3890.[3246.] 67% 3891.[3247.] Engineering estimate

3892.[3248.] EFLH

[3249.] VariableFixed

[3250.] See table below1,360

[3251.] 1 JCP&L

Measured data36

3893.[3252.] 3894.[3253.]

36 Results reflect metered use from 1995 – 1999.


[3254.] Variable data will be captured on the application form or from manufacturer’s data sheets and collaborative/utility studies.

[3255.] [3256.] For certain fixed components, studies and surveys developed by the utilities in

the State or based on a reviewEFLH Table

3895. Facility Type3896. Coo

ling EFLH

3897. Assembly 3898. 6693899. Auto repair 3900. 4263901. Dormitory 3902. 800

3903. Hospital 3904. 1424

3905. Light industrial 3906. 5493907. Lodging –

Hotel3908. 291

83909. Lodging –

Motel3910. 123

33911. Office – large 3912. 7203913. Office – small 3914. 955

3915. Other 3916. 7363917. Religious

worship 3918. 279

3919. Restaurant – fast food 3920. 645

3921. Restaurant – full service 3922. 574

3923. Retail – big box

3924. 1279

3925. Retail – grocery

3926. 1279

3927. Retail – large 3928. 882

3929. Retail – large 3930. 1068

3931. School – community college 3932. 846

3933. School – postsecondary

3934. 1208

3935. School – primary 3936. 394

3937. School – secondary 3938. 466


3895. Facility Type3896. Coo

ling EFLH

3939. Warehouse 3940. 4003941. 3942. Sources 1. NY, Standard Approach for Estimating Energy Savings, V4, April 2016. Appendix G –

Equivalent Full-Load Hours (EFLH), For Heating and Cooling, pp. 443–444. Derived from DOE2.2 simulations reflecting a range of building types and climate zones

3943. of manufacturer’s data, other utilities, regulatory commissions or consultants’ reports will be used to update the values for future filings.

[3257.] Gas Fired Desiccants

[3258.] Gas Fired Dessicants

3944.[3259.] Gas-fired desiccant systems employ a desiccant wheel (a rotating disk filled with a dry desiccant such as silica gel, titanium gel, or dry lithium chloride) which adsorbs outside air moisture, reducing the air’s latent heat content. This air is then conditioned by the building’s cooling system, before being delivered to the occupied space. By reducing the relative humidity of the air, the operating temperature of the building can be increased, as comfort levels are maintained at higher temperatures when air moisture content is decreased. Electric savings are realized from a reduction in the required cooling load as a result of decreased humidity.

3945.[3260.] In order to maintain the usefulness of the desiccant (to keep it dry) hot air must be passed through the desiccant that has been used to remove moisture from the outside air. To supply this hot air, a gas-fired heater is employed to heat “regeneration” air, which picks up moisture from the saturated desiccant and exhausts it to the outside. As a result, in addition to electric benefits, these systems will also incur a natural gas penalty.

3946.[3261.] Electric savings and natural gas consumption will vary significantly from system to system depending on regional temperature and humidity, facility type, occupancy, site processes, desiccant system design parameters, ventilation requirements and cooling load and system specifications. Due to the multitude of site and equipment specific factors, along with the relative infrequency of these systems, gas-fired desiccant systems will be treated on a case-by-case basis.

3947.[3262.] Gas Booster Water Heaters3948.[3263.] C&I gas booster water heaters are substitutes for electric water heaters. The

measurement of energy savings is based on engineering algorithms with key variables (i.e., Input Rating Coincidence Factor, Equivalent Full Load Hours) provided by manufacturer data or measured through existing end-use metering of a sample of facilities.

3949.[3264.] 3950.[3265.] Algorithms [3266.] Demand Savings (kW) = IR X EFF/3,412 X CF


[3267.] [3268.] Energy Savings (kWh/yr) = IR *X EFF/3,412 *X EFLH 3951.[3269.] 3952. Peak Demand Savings (kW) = IR * EFF/3,412 * CF3953.[3270.] Gas Usage Increase (MMBtu/yr) = IR *X EFLH3954.[3271.] 3955.[3272.] Net Energy Savings (kWh/yr) = Electric Energy Savings – Gas Usage

Increase/3,412[3273.] (Calculated in MMBtu)[3274.] 3956.[3275.] Definition of Variables [3276.] IR = Input Rating in MMBtu/hrBtuh3957.[3277.] EFF = Efficiency3958.[3278.] CF = Coincidence Factor 3959.[3279.] EFLH = Equivalent Full Load Hours

3960.[3280.] The 3412 used in the denominator is used to convert Btus to kWh.

3961.[3281.] 3962.[3282.] Summary of Inputs

3963. Gas Booster Water Heaters[3283.]


3965.[3285.] Type

3966.[3286.] Value

3967.[3287.] Source

3968.[3288.] IR 3969.[3289.] Variable

3970.[3290.] 3971.[3291.] Application Form or

Manufacturer Data

3972.[3292.] CF 3973.[3293.] Fixed

3974.[3294.] 30%

3975.[3295.] Summit Blue NJ Market Assessment

3976.[3296.] EFLH

3977.[3297.] Fixed

3978.[3298.] 1,000

3979.[3299.] PSE&G

3980.[3300.] EF 3981.[3301.] Variable

3982.[3302.] 3983.[3303.] Application Form or

Manufacturer Data


3984.[3304.] Tank Style (Storage)

[3305.] Water Heaters

[3306.] This prescriptive measure is intended for storagetargets solely the use of smaller-scale domestic water heaters installed(50 gallons or less per unit) in all commercial facilities. Larger gas water heaters are treated under the custom measure path. The measurement of energy savings for C&I gas water heaters is based on algorithms are based on installed equipment specifications and data from the Commercial Building Energy Consumption Survey (CBECS).

3985. Baseline efficiencies are set by current and previous equipment performance standards. In New Jersey ASHRAE 90.1 defines the commercial energy code requirements. For new buildings, ASHRAE 90.1-2013 standards apply, and for existing buildings, ASHRAE 90.1-2007 standards are assumed.

3986. Note, that for storage tank water heaters with a rated input capacity greater than 75 kBtu/hr, equipment standards are defined in terms of thermal efficiency. Equipment below this input capacity is rated in terms of energy key variables (i.e., energy factor. Energy factor is determined on a 24 hour basis and includes standby or storage loss effects, while thermal efficiency does not. Therefore, if the equipment is large enough to be rated in terms of thermal efficiency, a percent standby loss factor must be included in the calculation as shown in the algorithms) provided by manufacturer data.

3987.[3307.] 3988.[3308.] Algorithms 3989.[3309.] [3310.] FuelGas Savings (MMBtu/yr) = ((1 – (EFFb / = ((EFFq) + %SL37) * – EFFb)/EFFq) X Energy Use Density * X (Area / 1000 kBtu/MMBtu) 3990.[3311.] 3991.[3312.] where,3992. 3993. %SL = (SLb – SLq) / kBtu/hrq

3994. 3995. 3996. Definition of Variables [3313.] EFFq = Efficiency of the qualifying storageenergy efficient water heater.3997.[3314.] EFFbc = Efficiency of the baseline water heater, commercial grade. 3998. UEFb EFFb = Efficiency of the baseline water heater, residential grade.. 3999.[3315.] Energy Use Density = Annual baseline water heater energy use per square foot of commercial space served (MMBtu/sq.ft./yr)4000. Area = Square feet of building area served by the water heater4001.[3316.] %SL = Percent standby loss savings of qualifying storage water heater over

baseline4002. SLb or q = Standby losses in kBtu/hr of the baseline and qualifying storage water heater respectively. The baseline standby losses is calculated assuming the baseline storage water

37 Standby losses only apply if the storage water heater is rated for more than 75 kBtu/hr


heater has the same input capacity rating as the qualifying unit’s input capacity using ASHRAE equipment performance standards. The qualifying unit’s standby losses are available on the AHRI certificate provided with the application.4003. kBtu/hrq = Rated input capacity of the qualifying storage water heater4004. 4005. Summary of Inputs 4006.

4007. Water Heater AssumptionsHeaters4008.[3317.]

[3318.] Component

4009.[3319.] Typ

e

4010.[3320.] Value 4011.[3321.] Source

4013.[3323.] EFFq

4014.[3324.] Vari

able

4015.[3325.] 4016.[3326.] Application

4018.[3328.] EFFb

[3329.] Vari

ableFixed

[3330.] See Table Below <50 gal or <75,000 BtuH: EF

[3331.] >50 gal or >75,000 BtuH: TE

[3332.] EF = Energy Factor[3333.] TE = Thermal

Efficiency

[3334.] 1, 2From ASHRAE 90.1

2007

4019.[3335.] U EFb

4020.Vari

able

4021. See baseline values in residential storage water

heater measure

4022. 1, 2

4023. Energy Use Density

4024.[3336.] Vari

able

4025.[3337.] See Table Below [3338.] 3 1

[3340.] AreaFluid

Capacity

4027.[3341.] Vari

ab

4028.[3342.] 4029.[3343.] Application


[3318.] Component

4009.[3319.] Typ

e

4010.[3320.] Value 4011.[3321.] Source

le

4031.[3345.] kBtu/hrq

4032.Vari

able


4035. SLb 4036.Vari

able

4037. See Table Below 4038. 1 & Application

4039. SLq 4040.Vari

able


4043.[3346.] Efficiency of Baseline Water Heaters – Existing Buildings

4044.[3347.] ASHRAE 90.1-2007 and 2013a

4045.[3348.] Equipm

ent Typ

e

4046.[3349.] Size

Category (Input

)

[3350.] Existing Building

Baseline Efficiency (ASHRAE 90.1-

2007)Subcategory or Rating Condition

[3351.] New Building Baseline Efficiency

(ASHRAE 90.1-2013)Performance

Requireda

4047.[3352.] Gas

Storage Water

Heaters

[3353.] ≤ 75 kBtu/hr,000

BtuH

[3354.] EF = 0.62 – 0.0019 × V≥20 gal

[3355.] EF = 0.6762 – 0.0005 × V0019V EF

4048.[3356.] Gas

Stor

[3357.] > 75 kBt

4049.[3358.] TE = 0.804050. SL = (kBtu/hrq /

0.8 + 110 × √V) /

4051.[3359.] TE = 0.804052. SL = (kBtu/hrq /

0.799 + 16.6 ×% Et


age Water

Heaters

u/hr,000

BtuH

1000<4,000 (BtuH)/gal

(Q/800 + 110 √V) / 1000

SL, BtuH

[3360.] Gas Instantaneous Water Heaters

[3361.] >50,000 BtuH and<200,000

BtuH

[3362.] ≥4,000 (

BtuH)/gal

and <2 gal

[3363.] 0.62 – 0.0019V EF

[3364.]


[3366.] ≥200,000 BtuHb

[3367.] ≥4,000 (

BtuH)/gal

and <10 gal

[3368.] 80% Et

[3369.]


[3371.] ≥200,000 BtuH

[3372.] ≥4,000 (

BtuH)/gal

and ≥10 gal

[3373.] 80% Et (Q/800 + 110 √V)SL, BtuH

[3374.]

4053.[3375.] [3376.] a – EF is energy- Energy factor, TE is (EF) and thermal efficiency (Et) are minimum

requirements, while standby loss (SL) is maximum BtuH based on a 70°F temperature difference between stored water and ambient requirements. In the EF equation, V is the rated volume in gallons. In the SL equation, V is the rated volume of the installed storage water heater,in gallons and kBtu/hrqQ is the ratednameplate input of the proposed storagerate in BtuH.

[3377.] [3378.] b - Instantaneous water heaterheaters with input rates below 200,000 BtuH must comply

with these requirements if the water heater is designed to heat water to temperatures of 180°F or higher.

4054.[3379.] 4055.[3380.]


4056.[3381.] Energy Use Density Look-up Table4057. Water Heaters – New Construction

[3382.] ASHRAE 90.1-2013 (most current requirement as of February 2016)

[3383.] BuildingEqui

pment Type

[3384.] Energy Use Density (kBtu/SF/yr

)Size Category (Input)

4058.[3385.]

[3386.] EducationGas

Storage Water

Heaters

[3387.] 7.00.67 –

0.0005V EF

4059.[3388.]

[3389.] Food sales Gas

Storage Water

Heaters

[3390.] 4.4<4,000

(BtuH)/gal

4060.[3391.]

4061.[3392.] Food

service 4062. 39.2

4063.

4064. Health care 4065. 23.7

4066.

4067. Inpatient 4068. 34.3

4069.

4070. Outpatient 4071. 3.9

4072.

4073. Lodging 4074. 26.5

4075.

4076. Retail (other than mall) 4077. 2.5

4078.

4079. Enclosed>50,000 BtuH and strip

malls <200,000

BtuH

[3393.] 14.1≥4,000

(BtuH)/galand <2 gal

4080.[3394.]

4081.[3395.] Office 4082. 4.8

4083.

4084. Pub 4085. 2.1 4086.


lic assembly

4087. Public order ≥4,000

(BtuH)/galand safety

<10 gal[3396.] 21.

480% Et

4088.[3397.]

4089.[3398.] Religious worship 4090. 0.9

4091.

4092. Service 4093. 15

4094.

4095. Warehouse ≥4,000

(BtuH)/galand storage

≥10 gal

[3399.] 2.980% Et (Q/799 + 16.6 √V)SL, BtuH

4096.[3400.]

4097.[3401.] Other 4098. 2.3

4099.

4100.[3402.] 4101.[3403.]

4102. Example: If a water heater of 150 kBtu/hr input capacity and 100 gallons storage capacity is installed in an existing building, the baseline standby losses would be calculated as SL = (150 kBtu/hr / 0.8 + 110 × √100) / 1000 = 1.29 kBtu/hr. If the proposed equipment’s standby losses were rated for 1.0 kBtu/hr, the percent standby loss savings would be %SL = (1.29 – 1.0) / 100 = 0.0019.

4103. In the above example, if the unit was rated for 96% thermal efficiency, and installed in an office building space of 10,000 ft2 , the annual energy savings would be ((1 – 0.8/0.96) + 0.0019) × 4.8 × 10000 / 1000 = 8.1 MMBtus/yr

4104. 4105. a - Energy factor (EF) and thermal efficiency (Et) are minimum requirements, while

standby loss (SL) is maximum BtuH based on a 70°F temperature difference between stored water and ambient requirements. In the EF equation, V is the rated volume in gallons. In the SL equation, V is the rated volume in gallons and Q is the nameplate input rate in BtuH.

[3404.] [3405.] b - Instantaneous water heaters with input rates below 200,000 BtuH must comply

with these requirements if the water heater is designed to heat water to temperatures of 180°F or higher.

[3406.] [3407.] Energy Use Density Lookup Table


[3408.]

Building Type Energy Use Density(kBtu/SF/yr)

Education 5.2Food Sales 3.2

Food Service 40.0Health Care 28.9- Inpatient 39.4

- Outpatient 3.5Lodging 29.2

Retail (Other Than Mall) 1.0Office 1.6

Public Assembly 0.9Public Order and Safety 15.1

Religious Worship 0.9Service 0.9

Warehouse and Storage 0.7Other 1.7

[3409.] [3410.] Sources :

1. ASHRAE Standards 90.1-2007, Energy Standard for Buildings Except Low Rise Residential Buildings; available at: https://www.ashrae.org/standards-research--technology/standards--guidelines.


3. Energy Information Administration, Commercial Building Energy Consumption Survey Data, 2012; available at: https://www.eia.gov/consumption/commercial/data/2012/c&e/cfm/e7.cfm.. 2003.

4106.[3411.] Instantaneous Gas Water Heaters

4107. This prescriptive measure is intended for instantaneous water heaters installed in commercial facilities. The savings algorithms are based on installed equipment specifications and data from the Commercial Building Energy Consumption Survey (CBECS).

4108. Baseline efficiencies are set by current and previous equipment performance standards. In New Jersey ASHRAE 90.1 defines the commercial energy code requirements. For new buildings, ASHRAE 90.1-2013 standards apply, and for existing buildings, ASHRAE 90.1-2007 standards are assumed.

4109. If the qualifying instantaneous water heater is greater than 200 kBtu/hr and replacing a storage water heater, use a baseline storage water heater efficiency greater than 75 kBtu/hr. Similarly, if the qualifying instantaneous water heater is less than 200 kBtu/hr, and replacing a storage water heater, use an efficiency for equipment less than 75 kBtu/hr.


https://www.eia.gov/consumption/commercial/data/2012/c&e/cfm/e7.cfm





4110. Note, that for storage tank water heaters rated above 75 kBtu/hr, and instantaneous water heaters above 200 kBtu/hr, equipment standards are defined in terms of thermal efficiency. Equipment below these levels is rated in terms of energy factor. Energy factor is determined on a 24 hour basis and includes standby or storage loss effects, while thermal efficiency does not. Therefore, if the equipment is large enough to be rated in terms of thermal efficiency, a percent standby loss factor must be included in the calculation as shown in the algorithms.

4111. 4112. Algorithms 4113. 4114. Fuel Savings (MMBtu/yr) = ((1 – (EFFb / EFFq) + %SL38) * Energy Use Density *

Area4115. 4116. Where,4117. 4118. %SL = 0.775 × (kBtu/hrqualifying input)-0.778 4119. 4120. Definition of Variables 4121. EFFq = Efficiency of the qualifying instantaneous water heater.4122. EFFb = Efficiency of the baseline water heater, commercial grade. 4123. UEFb = Efficiency of the baseline water heater, residential grade. 4124. %SL = Percent standby losses of the baseline water heater fuel usage. This was calculated from standby loss and input capacity data for commercial water heaters exported from the AHRI database. 4125. Energy Use Density = Annual baseline water heater energy use per square foot of commercial space served (MMBtu/sq.ft./yr)4126. Area = Square feet of building area served by the water heater


4129. Water Heater Assumptions4130. Com

ponent4131.Type


4134. EFFq 4135.Varia

ble


4138. EFFb 4139.Varia

ble

4140. See Table Below 4141. If storage water heater

< 75 kBtu/Hhr or instantaneous water heater

< 200 kBtu/hr: EF4142. Otherwise TE.

4145. 1, 2

38 Standby losses only apply if the baseline water heater is a storage water heater rated for more than 75 kBtu/hr


4130. Component

4131.Type


4143. EF = Energy Factor4144. TE = Thermal

Efficiency4146. UEFb 4147.

Variable

4148. See baseline values in residential instantaneous

water heater measure

4149.

4150. Energy Use

Density

4151.Varia

ble

4152. See Table Below 4153. 3

4154. Area 4155.Varia

ble


4158. 4159. Efficiency of Baseline Water Heaters

4160. ASHRAE 90.1-2007 and 2013a

4161. Equipment Type

4162. Size

Category

(Input)

4163.Existing Building

Baseline Efficiency

(ASHRAE 90.1-2007)

4164. New Building Baseline

Efficiency (ASHRAE 90.1-2013)

4165. Gas Storage Water Heater

s39

4166. ≤ 75

kBtu/hr

4167. EF = 0.54 4168. EF = 0.65

4169. Gas Storage Water

Heaters

4170. > 75

kBtu/hr

4171. TE = 0.80 4172. TE = 0.80

4173. Gas Instantaneous Water Heater

s40

4174. < 200

kBtu/hr

4175. EF = 0.62 4176. EF = 0.62

39 Note, for qualifying instantaneous water heaters less than 200kBtu/hr, the storage water heater tank size is assumed to be 40 gallons.40 For instantaneous water heaters rated for less than 200 kBtu/hr, the tank size is assumed to be 1 gallon.


4177. Gas Instantaneous Water

Heaters

4178. ≥ 200

kBtu/hr

4179. TE = 0.80 4180. TE = 0.80

4181. a – EF means energy factor and TE means thermal efficiency4182.

4183. Energy Use Density Look-up Table

4184. Building Type

4185. Energy Use Density (kBtu/SF/yr)

4186. Education 4187. 7.04188. Food sales 4189. 4.4

4190. Food service 4191. 39.24192. Health care 4193. 23.7

4194. Inpatient 4195. 34.34196. Outpatient 4197. 3.94198. Lodging 4199. 26.5

4200. Retail (other than mall) 4201. 2.5

4202. Enclosed and strip malls 4203. 14.1

4204. Office 4205. 4.84206. Public

assembly 4207. 2.14208. Public order

and safety 4209. 21.44210. Religious

worship 4211. 0.94212. Service 4213. 15

4214. Warehouse and storage 4215. 2.9

4216. Other 4217. 2.34218. 4219. Sources








3. Energy Information Administration, Commercial Building Energy Consumption Survey Data, 2012; available at: https://www.eia.gov/consumption/commercial/data/2012/c&e/cfm/e7.cfm.

4220.[3412.] Prescriptive Boilers4221.[3413.]

[3414.] This prescriptive measure targets the use of smaller-scale boilers (less than or equal to 4000 MBH) and furnaces (no size limitation) in all commercial facilities. Larger sized boilers are treated under the custom measure path. The measurement of energy savings for C&I gas, oil, and propane fired furnaces and boilers is based on algorithms with key variables (i.e. Annual Fuel Utilization Efficiency, capacity of the furnace, EFLH) provided by manufacturer data or utility data. Savings are calculated for four zones throughout the state by heating degree days and for twelve different building types.

4222.[3415.] This measure applies to new construction, replacement of failed equipment, or end of useful life. The baseline unit is a code compliant unit with an efficiency as required by ASHRAE Std. 90.1 – 2013, which is the current code adopted by the state of New Jersey.

4223. Algorithms

4224.[3416.] ()❑❑

❑❑❑

❑ [(❑❑

❑❑)]

[3417.] ( )❑❑

❑❑❑❑[(❑❑

❑❑)]

[3418.] [3419.] Definition of Variables [3420.] 4225.[3421.] Definition of Variables4226. OF = Oversize factor of standard boiler (OF=0.8)4227.[3422.] HDDmod = HDD by zone and building type4228.[3423.] ∆T = design temperature difference[3424.] [3425.] HCfuel = Conversion from Btu to Therms of gas (100,000 Btu/Therm)[3426.] kBtuin/hr =IRB = Boiler Baseline Input capacity of qualifying unit Rating (BtuH)[3427.] EffbEffB = Boiler Baseline Efficiency[3428.] EffqEffQ = Boiler Proposed Efficiency4229.[3429.] 1000 = Conversion from kBtu to MMBtu4230. 4231. Summary of Inputs 4232.

4233. Prescriptive Boilers4234.[3430.] Co

mponent4235.[3431.] Ty

pe4236.[3432.] Va

lue4237.[3433.] So

urce4238.[3434.] OF 4239.[3435.] Fix 4240.[3436.] 0.8 4241.[3437.]


https://www.eia.gov/consumption/commercial/data/2012/c&e/cfm/e7.cfm

ed[3438.] kBtuin/

hrIRB

4242.[3439.] Variable

4243.[3440.] 4244.[3441.] Application

[3442.] HCfuel [3443.] Fixed [3444.] 100,000 Btu/Therm

[3445.]

[3446.] EffbEffB 4245.[3447.] Variable


4247.[3449.] 2

[3450.] EffqEffQ 4248.[3451.] Variable

4249.[3452.] 4250.[3453.] Application

4251.[3454.] ∆T 4252.[3455.] Variable


4254.[3457.] 1

4255.[3458.] HDDmod

4256.[3459.] Fixed


4258.[3461.] 1

4259.[3462.] 4260.[3463.] Adjusted Heating Degree Days by Building Type

[3464.]


Density (kBtu/sf)


Factor

Atlantic City (HDD)

Newark(HDD)

Philadelphia(HDD)

Monticello(HDD)






4261.[3465.] 4262.[3466.] Heating Degree Days and Outdoor Design Temperature by Zone

4263.[3467.]

Weather Station HDD Outdoor Design Temperature (F)

Atlantic City 5073 13Newark 5057 14

Philadelphia, PA 4824 15Monticello, NY 7060 8

4264.[3468.] 4265.[3469.] Baseline Boiler Efficiencies (Effb)

4266.[3470.] Boiler Type 4267.[3471.] Size Catego

ry

[3473.] Existin

g Buildi

[3474.] New Constructio

nStandard


[3472.] (kBtuM

Bh input)

ngsStandard

90.1-2007

90.1-2013

4268.[3475.] Hot Water – Gas fired

4269.[3476.] < 300

4270. > 300

[3477.] 80%

AFUE

4272.[3478.] 82% AFUE

4273. 80% Et4274. 82% Ec4275.[3479.] Hot Water –

Oil fired4276. <

3004277. >

300

4279. 84%

AFUE4280. 8

[3480.] 80% Et

[3481.] Steam – Gas firedHot Water

[3482.] < 300>

[3483.] 80%

[3484.] 82% Ec[3485.] SteamSteam – Gas

fired, all except natural 4282. > <

300 4283. 79

% [3486.] 80%

AFUE4284.[3487.] Steam – Gas

fired, all except natural [3488.] >

300 [3489.] 75

% Et[3490.] 79%

EcEt[3491.] Steam – Gas fired,, all except natural draft

4285.[3492.] > 300 and

[3493.] 80% Ec

[3494.] 7779% Et4286.[3495.] Steam – Gas

fired, natural draft[3496.] >

300 [3497.] 75

% Et[3498.] 77%

EcEt[3499.] Steam – Oil fired, natural draft

4287.[3500.] < 300

4288. > 300

4290. 82%

AFUE4291. 81

[3501.] 77% Et

4293.[3502.] [3503.] Sources :

[1.] KEMA, Smartstart Program Protocol Review. 2009.[2.] ASHRAE 90.1 2007

[3504.] [3.] Infrared HeatersKEMA, June 2009, New Jersey’s Clean Energy Program Residential HVAC

Impact Evaluation and Protocol Review; available at: http://www.njcleanenergy.com/files/file/Library/SmartStart%20Protocol%20Review%20-%20Final%20July%2010%202009.pdf.

1. ASHRAE Standards 90.1-2013. Energy Standard for Buildings Except Low Rise Residential Buildings; available at: https://www.ashrae.org/standards-research--technology/standards--guidelines.

4294. Prescriptive, Furnaces and Direct Install Boilers4295.[3505.]

[3506.] The methodology outlined below shall be adopted for estimating savings for installation of qualifying furnaces. and infrared heaters as well as Direct Install boilers in order to accommodate resizing.

4296.[3507.] This measure applies to new construction, replacement of failed equipment, or end of useful life. The baseline unit is a code compliant unit with an efficiency as required by ASHRAE Std. 90.1 – 2013, which is the current code adopted by the state of New Jersey.




http://www.njcleanenergy.com/files/file/Library/SmartStart%20Protocol%20Review%20-%20Final%20July%2010%202009.pdf

http://www.njcleanenergy.com/files/file/Library/SmartStart%20Protocol%20Review%20-%20Final%20July%2010%202009.pdf

4297. Algorithms

4298.[3508.] ()❑❑

❑❑❑

❑ [(❑❑

❑❑)]

[3509.] [❑❑ (❑❑❑❑ ) (❑❑❑❑)❑❑❑❑❑❑

][3510.] 4299.[3511.] 4300.[3512.] Definition of Variables [3513.] OF = Oversize factor of standard furnace/boiler/heater (OF=0.8)4301.[3514.] [3515.] CAPYB.out = Total output capacity of the baseline furnace/boiler/heater(s) in Btu/hour[3516.] [3517.] EffAFUEQ = Efficiency of qualifying furnace/boiler/heater(s) (AFUE %)[3518.] [3519.] CAPYQ.out = Total output capacity of the qualifying furnace/boiler/heater(s) in

Btu/hour[3520.] [3521.] EffB = Efficiency of baseline furnace/boiler/heater(s) (AFUE %)[3522.] [3523.] ICF = Infrared Compensation Factor (ICF = 0.8 for IR Heaters, 1.0 for

Furnaces/Boilers)2

[3524.] HDDmod = HDD by zone and building type[3525.] ∆T24 = Hours/Day[3526.] [3527.] ΔT = design temperature difference4302.[3528.] kBtuin/hr = Input capacity of qualifying unit 4303. Effb = Furnace Baseline Efficiency4304. Effq = Furnace Proposed Efficiency4305. 1000HCfuel = Conversion from kBtu to MMBtu4306. Btu to Therms of gas (100,000 Btu/Therm)4307.[3529.] Summary of Inputs 4308.[3530.]

4309. PrescriptiveIR Heaters, Furnaces and Boilers[3531.]


4311.[3533.] Type

4312.[3534.] Value

4313.[3535.] Source

4314.[3536.] OF 4315.[3537.] Fixed

4316.[3538.] 0.8 4317.[3539.]

[3540.] HCfuel [3541.] Fixed [3542.] 100,000 Btu/Therm

[3543.]

[3544.] Effq 4318.[3545.] Va 4319.[3546.] 4320.[3547.] Ap


riable plication 4321.[3548.] Ef

fb

4322.[3549.] Fixed

[3550.] See Table BelowFurnaces: 78%

[3551.] Boilers: 80%a

[3552.] Infrared: 78% [3553.]

[3554.] 2 EPACT

Standard for furnaces and

boilers

4323.[3555.] CAPYB/Q, Out

4324.[3556.] Variable

4325.[3557.] 4326.[3558.] Application

4327.[3559.] ∆T 4328.[3560.] Variable


4330.[3562.] 1

4331.[3563.] HDDmod

4332.[3564.] Fixed


4334.[3566.] 14335.[3567.]

4336.[3568.] [3569.] a – 80% efficiency used for Direct Install protocols only. SmartStart gas boiler

efficiencies referenced in Boiler Baseline Efficiency table.[3570.] [3571.] Sources:

[3572.] 1. KEMA, Smartstart Program Protocol Review. 2009.[3573.] 2. http://www.spaceray.com/1_space-ray_faqs.php

[3574.] 4337.[3575.]


http://www.spaceray.com/1_space-ray_faqs.php

[3576.] Adjusted Heating Degree Days by Building Type4338.[3577.]


Density (kBtu/sf)


Factor

Atlantic City (HDD)

Newark(HDD)

Philadelphia(HDD)

Monticello(HDD)






4339.[3578.] 4340.[3579.] Heating Degree Days and Outdoor Design Temperature by Zone

4341.[3580.]

Weather Station HDD Outdoor Design Temperature (F)

Atlantic City 5073 13Newark 5057 14

Philadelphia, PA 4824 15Monticello, NY 7060 8

4342.[3581.] 4343. Baseline Furnace Efficiencies (Effb)

4344. Furnace Type

4345. Size Category

4346. (kBtu input)

4347. Standard 90.1-2013

4348. Gas Fired 4349. < 2254350. ≥ 225

4351. 78% AFUE

4353. Oil Fired 4354. < 2254355. ≥ 225

4356. 78% AFUE

4358. [3582.] Baseline Boiler Efficiencies (Effb)

[3583.] [3584.] [3585.]


[3586.] Sources : 1. KEMA, June 2013, New Jersey’s Clean Energy Program Residential HVAC Impact

Evaluation and Protocol Review; available at: http://www.njcleanenergy.com/files/file/Library/HVAC%20Evaluation%20Report%20-%20Final%20June%2011%202009.pdf.


1. KEMA, Smartstart Program Protocol Review. 2009.[3587.] http://www.spaceray.com/1_space-ray_faqs.php

4359.[3588.] Infrared Heaters4360. This measures outlines the deemed savings for the installation of a gas-fired low

intensity infrared heating system in place of unit heater, furnace, or other standard efficiency equipment. The deemed savings are based on a Massachusetts Impact Evaluation Study[1].

4361. 4362. Summary of Assumptions 4363.

4364. Variable 4365. Value 4366. Source4367. Deemed

Savings4368. 12.0

MBtu/yr4369. 1

4370. 4371. Sources

1. KEMA, Impact Evaluation of 2011 Prescriptive Gas Measures; prepared for Massachusetts Energy Efficiency Program Administrators and Massachusetts Energy Efficiency Advisory Council, 2013, pp. 1–5.

4372.

4373. Electronic


http://www.spaceray.com/1_space-ray_faqs.php





[3589.] Fuel Use Economizers4374.[3590.] [3591.] Algorithms [3592.] [3593.] Fuel Savings (MMBtu) = (AFU * 0.13)[3594.] [3595.] AFU = Annual Fuel Usage for an uncontrolled (gas, oil, propane) HVAC unit

(MMBtu or gallons) = (Input power in MMBtu or gallons) * (annual run time)[3596.] 0.13 = Approximate energy savings factor related to installation of fuel use

economizers1.[3597.] [3598.] SourcesThe following algorithms detail savings for the installation of electronic fuel

use economizers on commercial boilers and furnace systems. :

[3599.] Approximate energy savings factor of 0.13 based on average % savings for test sites represented in Table 2 (page 3) of NYSERDA Study: A Technology Demonstration and Validation Project for Intellidyne Energy Saving Controls; Intellidyne LLC & Brookhaven National Laboratories; 2006 (http://www.cleargreenpartners.com/attachments/File/NYSERDA_Report.pdf)These devices are microprocessor-based fuel-saving controls for commercial HVAC. They optimize energy consumption by adjusting burner or compressor run patterns to match the system’s load. They can be used to control gas or oil consumption for any type of boiler or forced air furnace system. Here, the baseline system is a boiler or furnace that does not have fuel economizers installed.

4375. The input values are based on customer billing data supplied by the utilities and customer information on the application form, confirmed with manufacturer data.

4376. The savings are based on research performed by ERS for the Massachusetts Technical Assessment Committee (MTAC) for one of the systems available in the marketplace. The research was based on data collected through a combination of third party technical reviews and impact evaluation M&V data, both billing analysis and field measurements. ERS observed that the savings vary between 1% and 10%. In general, it was observed that the installations with the oversized boilers (estimated as sites with lower average firing rates) are most likely to yield the highest savings. The actual savings will vary somewhat from project to project, it is reasonable to assume that program-wide energy savings across all approved fuel-use economizers measures will likely be close to the weighted average of 4% of the baseline use.

4377.[3600.] 4378.[3601.] Algorithms

4379. 4380. Fuel Savings (MMBtu) = (AFU * SF)4381. 4382. Definition of Variables


4383. Distributed Energy Resource (DER)AFU = Annual Fuel Usage for an uncontrolled (gas, oil, propane) HVAC unit (MMBtu or gallons)4384. SF = Savings factor, based on data collected through a combination of third party technical reviews and impact evaluation M&V data, both billing analysis and field measurements.4385. 4386. Summary of Inputs 4387.

4388. Electronic Fuel Use Economizer Assumptions4389. Compon

ent4390. Type 4391. Value 4392. Source

4393. AFU 4394. Variable 4395. 4396. Application

4397. SF 4398. Fixed 4399. 0.04 4400. 1 4401. 4402. Sources

1. IntelliCon Boiler Controls and Savings Potential,” presentation delivered to MTAC by ERS on April 6, 2015.


Combined Heat & Power Program4403.[3602.]

4404.[3603.] Protocols[3604.] The measurement of energy and demand savings for Combined Heat and Power

(CHP)/fuel cell systems is based primarily on the characteristics of the individual systems subject to the general principles set out below. The majority of the inputs used to estimate energy and demand impacts of CHP/fuel cell systems will be drawn from individual project applications.

[3605.] [3606.] CHP/fuel cell systems typically use fossil fuels to generate electricity that displaces

electric generation from other sources. Therefore, the electricity generated from a CHP/fuel cell system should not be reported as either electric energy savings or renewable energy generation. Alternatively, electric generation and capacity from CHP/fuel cell systems should be reported as Distributed Generation (DG) separate from energy savings and renewable energy generation. However, any waste heat recaptured and utilized should be reported as energy savings as, discussed below.

[3607.] Distributed Generation[3608.] Electric Generation (MWh) = Estimated annual and lifetime electric generation in

MWh provided on the project application, as adjusted during the project review and approval process.

[3609.] [3610.] Electric Demand (kW) = Electric capacity of the CHP/fuel cell system in kW

provided on the project application, as adjusted during the project review and approval process.

[3611.] Energy Savings[3612.] Gas Energy Savings: Gas savings should be reported on a consistent basis by all

applicants as the reduction in fuel related to the recapture of thermal energy (e.g., reduction in boiler gas associated with the recapture of waste heat from the CHP engine or turbine, or a fuel cell with heat recovery.)

[3613.] [3614.] Electric Energy Savings: Electric energy savings should be reported only in cases

where the recapture of thermal energy from the CHP system is used to drive an absorption chiller that would displace electricity previously consumed for cooling.

[3615.] Emission Reductions[3616.] For many CHP/fuel cell applications there can be substantial emission benefits due to

the superior emission rates of many new CHP engines and turbines as compared to the average emission rate of electric generation units on the margin of the grid. However,


CHP engines and turbines produce emissions, which should be offset against the displaced emissions from the electricity that would have been generated by the grid.41

[3617.] [3618.] The New Jersey Department of Environmental Protection (DEP) has provided the

BPU with emission factors that are used to calculate the emission savings from energy efficiency and renewable energy projects. These factors should be used to calculate the base emission factors which the CHP system emission factors would be compared to. The emissions from the CHP system would be subtracted from the base emissions to determine the net emission changes as follows:

[3619.] [3620.] Emissions Factors Associated with PJM Grid

[3621.] [3622.] CO2 – 1015 lbs per MWh[3623.] NOX – 0.95 lbs per MWh[3624.] SO2 – 2.21 lbs per MWh

[3625.] [3626.] CHP Emissions Reduction (ER) Formulas

[3627.] (Assuming that the useful thermal output will displace natural gas)[3628.]

[3629.] CO2e ER (lbs) = [1015 * Electrical Output (MWh) + Useful Thermal Output (MMBtu) * CO2 EFNG] – [CHP CO2 EFf * Fuel Consumption (MMBtu)]

[3630.] [3631.] NOx ER (lbs) = [0.95 * Electrical Output (MWh) + Useful Thermal Output (MMBtu) *

NOx EFNG] – [CHP NOX EFf * Fuel Consumption (MMBtu)][3632.]

[3633.] SO2 ER (lbs) = [2.21 * Electrical Output (MWh) + Useful Thermal Output (MMBtu) * SO2 EFNG] – [CHP SO2 EFf * Fuel Consumption (MMBtu)]

[3634.] [3635.] Note: [3636.] [1.] EFNG values associated with boiler fuel displacement:

[3637.] CO2 EFNG = 115 lb/MMBtu[3638.] NOX EFNG = 0.12 lbs/MMBtu[3639.] SO2 EFNG = .0006 lb/MMBtu

[3640.] [2.] CHP EFf (lb/MWh) - Emission factor of fuel type used in the CHP system, which will

vary with different projects based on the types of prime movers and emission control devices used.

[3641.] [3642.] NJDEP Regulatory Limits for CHP Systems

[3643.] [3644.] NOX: 0.047 lb/MMBtu[3645.] SO2: 0.0006 lb/MMBtu[3646.] CO: 0.157 lb/MMBtu

41 Summit Blue, Draft Energy Efficiency Market Assessment of New Jersey Clean Energy Program, Book III, Page 196, May 26, 2006


[3647.] VOC: 0.047 lb/MMBtu[3648.] TSP: 0.01 lb/MMBtu[3649.] PM-10: 0.038 lb/MMBtu[3650.] Emission reductions from any CHP system energy savings, as discussed above,

would be treated the same as any other energy savings reported.[3651.]

[3652.] Sustainable Biomass

[3653.] Estimated annual energy generation and peak impacts for sustainable biomass systems will be determined on a case-by-case basis based on the information provided by project applicants and inspection data for verification of as- installed conditions. The measurement of energy and demand savings for Combined Heat and Power (CHP) systems is based primarily on the characteristics of the individual systems subject to the general principles set out below. The majority of the inputs used to estimate energy and demand impacts of CHP systems will be drawn from individual project applications. Eligible systems include: powered by non-renewable or renewable fuel sources, gas internal combustion engine, gas combustion turbine, microturbine, and fuel cells with heat recovery.

4405. The NJ Protocol is to follow the National Renewable Energy Laboratory’s Combined Heat and Power, The Uniform Methods Project: Methods for Determining Energy-Efficiency Savings for Specific Measures [1]. The product should be all of the below outputs, as applicable:

a. Annual energy input to the generator, HHV basis (MMBtu/yr)b. Annual electricity generated, net of all parasitic loads (kWh/yr)c. Annual fossil fuel energy savings from heat recovery (MMBtu/yr)d. Annual electric energy savings from heat recovery, including absorption chiller

sourced savings if chiller installation is included as part of the system installation (kWh/yr)

e. Annual overall CHP fuel conversion efficiency, HHV basis (%)f. Annual electric conversion efficiency, net of parasitics, HHV basis (%)

4406. CHP systems typically use fossil fuels to generate electricity that displaces electric generation from other sources. Therefore, the electricity generated from a CHP system should not be reported as either electric energy savings or renewable energy generation. Alternatively, electric generation and capacity from CHP systems should be reported as Distributed Generation (DG) separate from energy savings and renewable energy generation. However, any waste heat recaptured and utilized should be reported as energy savings as discussed below.

4407. Distributed Generation

4408. Net Electricity Generation (MWh) = Estimated electric generation provided on the project application, as adjusted during the project review and approval process.


4409. Peak Electric Demand (kW) = Electric demand reduction delivered by the CHP system provided on the project application, as adjusted during the project review and approval process.

4410. Total Fuel Consumption or Fuel Consumed by Prime Mover (MMBtu @HHV) = Total heating value of used by CHP system provided on the project application, as adjusted during the project review and approval process.

4411. Energy Savings Impact

4412. Gas Energy Savings or Fuel Offset (MMBtu @HHV): Gas savings should be reported on a consistent basis by all applicants as the reduction in fuel related to the recapture of thermal energy (e.g., reduction in boiler gas associated with the recapture of waste heat from the CHP engine or turbine, or a fuel cell with heat recovery.)

4413. Electric Energy Savings or Offset Chiller Electricity Use (MWh): Electric energy savings should be reported only in cases where the recapture of thermal energy from the CHP system is used to drive an absorption chiller that would displace electricity previously consumed for cooling.

4414. Emission Reductions

4415. For many CHP applications there can be substantial emission benefits due to the superior emission rates of many new CHP engines and turbines as compared to the average emission rate of electric generation units on the margin of the grid. However, CHP engines and turbines produce emissions, which should be offset against the displaced emissions from the electricity that would have been generated by the grid.

4416.[3654.] The New Jersey Department of Environmental Protection (NJDEP) has provided the BPU with emission factors that are used to calculate the emission savings from energy efficiency and renewable energy projects. These factors should be used to calculate the base emission factors which the CHP system emission factors would be compared to. The emissions from the CHP system would be subtracted from the base emissions to determine the net emission changes as follows:

4417. CHP Emissions Reduction Associated with PJM Grid [2]4418. (Assuming that the useful thermal output will displace natural gas)4419.4420.[3655.] Algorithms 4421.4422.[3656.] CO2 ER (lbs) = [CO2emission * Net Electricity Generation (MWh) + Gas Energy

Savings (MMBtu) * CO2 EFNG] – [CHP CO2 EFf * Total Fuel Consumption (MMBtu)]

4423. 4424. NOx ER (lbs) = [NOxemission * Net Electricity Generation (MWh) + Gas

Energy Savings (MMBtu) * NOx EFNG] – [CHP NOX EFf * Total Fuel Consumption (MMBtu)]

4425.


4426. SO2 ER (lbs) = [SO2emission * Net Electricity Generation (MWh) + Gas Energy Savings (MMBtu) * SO2 EFNG] – [CHP SO2 EFf * Total Fuel Consumption (MMBtu)]

4427. 4428. Definition of Variables 4429. CO2emission = 992 lbs per MWh4430. NOXemission = 0.75 lbs per MWh4431. SO2emission = 1.32 lbs per MWh

4432. EFNG values associated with boiler fuel displacement [3]:4433. CO2 EFNG = 118 lb/MMBtu4434. NOX EFNG = 0.12 lbs/MMBtu (average for all boilers)4435. SO2 EFNG = 0.0006 lb/MMBtu

4436.4437.[3657.] CHP EFf (lb/MMBtu) = Emission factor of fuel type used in the CHP system, which will vary with different projects based on the types of prime movers and emission control devices used.

4438. Emission reductions from any CHP system energy savings, as discussed above, would be treated the same as any other energy savings reported.

4439. Sources 1. Simons, George, Stephan Barsun, and Charles Kurnik. 2016. Chapter 23: Combined Heat

and Power, The Uniform Methods Project: Methods for Determining Energy-Efficiency Savings for Specific Measures. Golden, CO; National Renewable Energy Laboratory. NREL/ SR-7A40-67307. http://www.nrel.gov/docs/fy17osti/67307.pdf.

2. PJM report; “2012–2016 CO2, SO2 and NOX Emission Rates,” March 2017. PJM system average values for the year 2016 are used.

3. US EPA AP-42: AP-42, Compilation of Air Pollutant Emission Factors, 5th Edition, Chapter 1.4 Natural Gas Combustion https://www3.epa.gov/ttnchie1/ap42/ch01/final/c01s04.pdf.4440.

4441. Sustainable Biomass Biopower4442. Estimated annual energy generation and peak impacts for sustainable biomass

systems will be determined on a case-by-case basis based on the information provided by project applicants and inspection data for verification of as-installed conditions.

4443. 4444.4445.[3658.]


https://www3.epa.gov/ttnchie1/ap42/ch01/final/c01s04.pdf

4446.[3659.] Pay for Performance Program

Protocols[3660.] The Pay for Performance Program is a comprehensive program targeted at existing

commercial and industrial (C&I) buildings that have an average annual peak demand of 200 kW or greater; as well as select multifamily buildings with annual peak demand of 100 kW or greater. Participants in the Pay for Performance Program are required to identify and implement energy efficiency improvements that will achieve a minimum savings target. of 15% reduction in total source energy consumption.

4447.[3661.] Energy Savings Requirements4448.[3662.] For Existing Buildings, projects

[3663.] Projects are required to identify and implement comprehensive energy efficiency improvements that will achieve a minimum of 15% reduction in total source energy consumption as measured from existing energy use. For New Consturction, including major rehabilitation, projects are required to identify and implement comprehensive energy efficiency measures that achieve a minimum 5% energy cost savings (for commercial and industrialexisting buildings,) and 15% for multifamily, energy cost savings from the current state energy code (for new construction). Further, no more than 50% of the total savings may be derived from lighting measures, Savings may not come from a single measure and no more than 50% of the total savings may be derived from lighting measures. Lighting savings up to 70% of total projected savings can be considered but the minimum savings required will increase proportionately as

demonstrated in the table below.

Lighting SavingsMinimum Source

Energy Target

51% 16%52% 17%53% 18%54% 19%55% 20%56% 21%57% 22%58% 23%59% 24%60% 25%61% 26%62% 27%63% 28%64% 29%65% 30%66% 31%67% 32%68% 33%69% 34%70% 35%

4449.[3664.] Existing Buildings projects must include multiple measures, where lighting measures do not exceed 50% of total savings (exceptions apply, see program guidelines). New Construction projects


[3665.] The must have at least one measure addressing each envelope, heating, cooling, and lighting systems. Buildings that are not heated (e.g. refrigerated warehouse) or not cooled (e.g. warehouse) will not be required to have a measure addressing the missing building system.

4450. In both program components, the total package of measures must have at least a 10%, internal rate of return (IRR), and at least 50% of the savings must come from investor-owned electricity and/or natural gas. If 50% of the savings does not meet this criteria, then the project must save a minimum of 100,000 kWh or 2,000 therms from investor-owned utility accounts.

[3666.] For Existing Buildings, anAn exception to the 15% savings requirement is availablewill be limited to sectors such as manufacturing, pharmaceutical, chemical, refinery, packaging, food/beverage, data center, transportation, mining/mineral, paper/pulp, biotechnology, etc, as well as hospitals. The manufacturing and/or processing loads use should be equal to or greater than approximately 50% of the total metered energy use. Instead of the 15% savings requirement, the project must deliver a minimum energy savings of 100,000 kWh, 350 MMBTU or 4% of total facility consumption. , whichever is greater. Exceptions must be pre-approved by Market Manager and currently only apply to existing buildings component of program

4451.[3667.] [3668.] New Construction and Gut Rehabilitation [3669.] Projects are required to identify and implement energy efficiency improvements that

will achieve a minimum of 5% energy cost savings for C&I buildings, and 15% for multifamily, as measured from ASHRAE 90.1-2013 baseline. Equivalent performance targets for ASHRAE Building Energy Quotient (bEQ) As-Designed and ASHRAE 90.1-2013 with Addendum BM are provided in the program guidelines (see Baseline Conditions below).

[3670.] [3671.] Each project must have at least one measure addressing each envelope, heating,

cooling, and lighting systems. Buildings that are not heated (e.g. refrigerated warehouse) or not cooled (e.g. warehouse) will not be required to have a measure addressing the missing building system.

[3672.] Software Requirements[3673.] In order for a project to qualify for incentives under the Pay for Performance

Program, the Partner must create a whole-building energy simulation to demonstrate energy savings from recommended energy efficiency measures, as described in detail in the Simulation Guidelines section of the Pay for Performance Program Guidelines. The primary source for developing the Simulation Guidelines is ASHRAE Guideline 14. Simulation software must be compliant with ASHRAE 90.1 Section 11 or Appendix G. Examples of allowed tools include eQUEST, HAP, EnergyPlus, Trane Trace, DOE 2.1. Approval for use in LEED and Federal Tax Deductions for Commercial Buildings program may serve as the proxy to demonstrate compliance with the requirement.

4452.[3674.] Baseline Conditions 4453.[3675.] Existing Buildings


4454.[3676.] Baseline from which energy savings are measured will be based off the most recent 12 months of energy use from all sources. Site energy use is converted to source energy use following EPA’s site-to-source conversion factors42.

4455.[3677.] 4456.[3678.] New Construction 4457.[3679.] Project may establish building baseline in one of two ways: Path 1 –- Under this path, the Partner will develop a single energy model representing the

proposed project design using prescribed modeling assumptions that follow ASHRAE Building Energy Quotient (bEQ) As-Designed 43 simulation requirements.

Path 2 –- Under this option the Partner will develop a baseline building using ASHRAE 90.1-2013 Appendix G modified by Addendum BM44. (for existing buildings) or current state energy code, such as ASHRAE 90.1 2007 (for new construction).

[3680.]

4458.[3681.] Measure Savings4459.[3682.] Measures must be modeled to demonstrate proposed energy/energy cost savings

according to Pay for Performance program guidelines, including meeting or exceeding Minimum Performance Standards, or current state or local energy code, whichever is more stringent. Minimum Performance Standards generally align with C&I SmartStart Program equipment requirements.

4460.[3683.] 4461.[3684.] Existing Buildings 4462.[3685.] Measures must be modeled within the approved simulation software and

modeled incrementally to ensure interactive savings are taken into account. 4463.[3686.] 4464.[3687.] New Construction 4465.[3688.] Measures must be modeled based on the baseline path chosen: Path 1 –- Modeled within the same proposed design energy model, but as parametric runs

or alternatives downgraded to code compliant parameters. Path 2 – Modeled as interactive improvements to the ASHRAE 90.1-2013 Appendix G

baseline (with Addendum BM accepted). 4466.[3689.] In the event that a software tool cannot adequately model a particular measure

or component, or in cases where Program Manager permits savings calculations outside of the model, projects are required to use stipulated savings calculations as outlined in the Program Guidelines or within these Protocols as applicable. If stipulated savings do not exist within these documents, the Program Maanger will work with the applicant to establish acceptable industry calculations.

4467.

42 https://portfoliomanager.energystar.gov/pdf/reference/Source%20Energy.pdf 43 http://buildingenergyquotient.org/asdesigned.html44 Addendum BM sets a common baseline building approach that will remain the same for ASHRAE 90.1-2013 and all future iterations of ASHRAE 90.1, and is roughly equivalent to ASHRAE 90.1-2004. To comply with ASHRAE 90.1-2013, a proposed building has to have energy cost savings of 11-40% from the Addendum BM baseline, depending on the building type and climate zone.


http://buildingenergyquotient.org/asdesigned.html

https://portfoliomanager.energystar.gov/pdf/reference/Source%20Energy.pdf

4468.[3690.] Measurement & Verification 4469.[3691.] Existing Buildings 4470.[3692.] The Program metering requirements are based on the 2010 International

Performance Measurement and Verifications Protocol (“IPMVP”) and the 2008 Federal Energy Management

4471.[3693.] Program (“FEMP”) M&V Guidelines, Version 3.0. All projects must follow Option D, Calibrated Simulation, as defined by the IPMVP. Calibrated simulation involves the use of computer software to predict building energy consumption and savings from energy-efficiency measures. Options A and B, as defined by the IPMVP, may be used as guidelines for data collection to help create a more accurate model. Additionally, for the existing buildings component, Option C is used to measure actual savings using twelve months of post-retrofit utility data.

4472.[3694.] 4473.[3695.] New Construction 4474.[3696.] Projects are required to commission all energy efficiency measures. Further,

projects are required to complete a benchmark through EPA’s ENERGY STAR Portfolio Manager to demonstrate operational performance based on the building’s first year of operation. Building types not eligible ofor ENERGY STAR Score may demonstrate compliance through ASHRAE Building Energy Quotient (bEQ) In-Operation.

4475.[3697.] Energy Savings Reporting[3698.] Committed energy savings are reported upon approval of the Energy Reduction Plan

and are based on modeling results of recommended measures as described above. Installed energy savings are reported upon installation of recommended measures and are based on modeling results. Unless significant changes to the scope of work occurred during construction, installed savings will be equal to committed savings. Verified savings are reported at the end of the performance period (for Existing Buildings) and are based on twelve (12) months of post-retrofit utility bills compared to pre-retrofit utility bills used during Energy Reduction Plan development. For New Construction, verified savings are not currently reportedreportedor at the end of the Commissioning process (for new construction) and may vary from committed/installed savings. Note that only installed savings are reported on New Jersey’s Clean Energy Quarterly Financial and Energy Savings Reports.

4476.[3699.] 4477.[3700.]


4478.[3701.] Direct Install Program

4479.[3702.] Protocols[3703.] This section identifies the protocols for all measures proposed under the Direct Install

Program. Several of the This section includes protocols for measures usethat are not included in other sections of the Protocols. In addition, for several of the where Direct Install Protocols uses algorithms and inputs identical tofrom the “Commercial and Industrial Energy Efficient Construction section of the Protocols, and as such, the user is directed to that ” section for the specific protocol. Other measures may have similar algorithms and inputs, but identifyof the Protocols, different equipment baselines will be used to reflect the Direct Install includes early replacement program where retirement. Baseline equipment is replaced as a direct result of the program. For those measures, the applicable baseline tables are included in efficiency shown in this section, but the user is directed to the C&I section is an estimate of the Protocols for algorithms and other inputs. existing equipment efficiency rather than currently available standard efficiency.

4480.[3704.] Electric HVAC Systems

[3705.] Replacement of existing electric HVAC equipment with high efficiency units is a proposed measure under the C&I Energy Efficienct Direct Install Program. (See C&I Construction Electric HVAC Systems Protocols.). The Direct Install savings protocol will be the same as previously stated in this document with the exception of the assumption for baseline efficiency.

4481. Efficiency baselines are designed to reflect current market practices, which in this case reflect ASHRAE 90.1-2007. For the Direct Install program, the following values will be used for the variable identified as SEERb EERb COPb IPLVb and HSPFb

4482. 4483.


4484. HVAC Baseline Table –EERb. These age-based efficiencies are used in estimating savings associated with the Direct Install Program because as an early

replacement program, equipment is replaced as a direct result of the program. 4485.[3706.] [3707.] Default Values for Mechanical System Efficiencies – Age-Based

[3708.] Equipment TypeSystem

[3709.] Baseline = ASHRAE Std.

90.1-2007Units

4486.[3710.]

[3711.] Unitary HVAC / Split Systems

[3712.] 8.03

[3713.] <= 5.4 tons

[3714.] SEER

[3715.] 7.80

[3716.] 10.00 [3717.]

4487.[3718.] Unitary HVAC/Split Systems and Single Package, Air Cooled4488. · <=5.4 tons4489. · >5.4 to- 11.25 tons4490. · >11.25 to 20 tons

4491.[3719.]

4492. 13 SEER4493. 11 EER

4494. 10.8 EER

4495.[3720.]

[3721.] 11.25 - 20 tons

[3722.] EER

[3723.] 9.45

[3724.] 8.31 [3725.]

[3726.] Air-Air Heat Pump Systems

[3727.] 9.10

[3728.] <= 5.4 tons

[3729.] SEER

[3730.] [3731.] 10.00 [3732.]

4496.[3733.] Air-Air Cooled Heat Pump Systems, Split System and Single Package4497. · <=5.4 tons4498. · >5.4 to- 11.25 tons4499. · >11.25 to 20 tons

4500.[3734.]

4501.

4502. 13 SEER, 7.7 HSPF

4503. 10.8 EER, 3.3 heating COP

4504. 10.4 EER, 3.2 heating COP

4505.[3735.]

[3736.] Packaged Terminal Systems

[3737.] 8.03

[3738.] [3739.] [3740.] [3741.] [3742.] [3743.] [3744.] [3745.] [3746.] [3747.] [3748.] [3749.] [3750.] [3751.] [3752.]


[3708.] Equipment TypeSystem

[3709.] Baseline = ASHRAE Std.

90.1-2007Units

4486.[3710.]

4506.[3753.] Water Source Heat Pumps

4507.

Capacities

4508.[3754.] 4509. 12.0 EER

4510.[3755.]

[3756.] All Capacities

[3757.] E

[3758.] 9

[3759.] 10.00 [3760.]

[3761.] Source: Based on the 2006 Mortgage Industry National Home Energy Ratings Systems Standards, Table 303.7.1(3) Default Values for Mechanical System Efficiencies (Age-based), RESNET.

[3762.] [3763.] NOTE – The age-based efficiencies in the above table have been interpolated from

RESNET standards and current baseline figures utilized in NJ C&I Energy Efficiency Rebate programs. With no equivalent resource available specific to small commercial equipment, these combined resources reflect the closest approximation to typical efficiencies of mechanical equipment present in Direct Install project facilities. The Direct Install program is targeted towards small commercial customers. As such, eligible equipment must not exceed a maximum capacity determined to be commonplace in the small C&I sector. In most cases, these capacity ranges correlate well with equipment certified by AHRI under the designation “Residential”.

4511.[3764.] Motors [Inactive 2017, Not Reviewed]4512.[3765.] Replacement of existing motors with high efficiency units is a proposed

measure under the Direct Install Program. (See C&I Construction Motors Protocols). The savings protocol will be the same as previously stated in this document with the exception of the assumption for baseline efficiency. For the Direct Install program, the following values will be used for the variable identified as base. These efficiencies are used in estimating savings associated with the Direct Install Program because as an early replacement program, equipment is replaced as a direct result of the program.

4513.[3766.] 4514.[3767.] Motor4515.[3768.] HP

4516.[3769.] Baseline

Efficiency

4517.[3770.] 1

4518.[3771.] 0.75

4519.[3772.] 1.5

4520.[3773.] 0.775

4521.[3774.] 2

4522.[3775.] 0.80

4523.[3776.] 3

4524.[3777.] 0.825


4525.[3778.] 5

4526.[3779.] 0.84

4527.[3780.] 7.5

4528.[3781.] 0.845

4529.[3782.] 10

4530.[3783.] 0.85

4531.[3784.] >10

4532.[3785.] Use EPAct

Baseline Motor Efficiency Table on pg. 72

4533.[3786.] Source: Opportunities for Energy Savings in the Residential and Commercial Sectors with High-Efficiency Electric Motors, US DOE, 1999, Figure 4-4, page 4-5.

4534.[3787.]

4535.[3788.] Variable Frequency Drives[3789.] Installation of variable frequency motor drive systems is a proposed measure under

Commercial and Industrial Energy Efficientthe Direct Install Program. (See C&I Construction. Motors Protocols). Because there is no baseline assumption included in the protocols for this measure, the savings protocol will be exactly the same as previously stated in this document.

4536.[3790.]

[3791.] Refrigeration Measures4537.[3792.] Installation of the following refrigeration measures are proposed under the

Commercial and Industrial Energy Efficient Construction Program. Because there is no baseline assumption included in the protocols for these measures, the savings protocol will be exactly the same as previously stated in this document.

4538. Walk-in Cooler/Freezer Evaporator Fan Control 4539.[3793.] [3794.] This measure is applicable to existing walk-in coolers and freezers that have

evaporator fans which run continuously. The measure adds a control system feature to automatically shut off evaporator fans when the cooler’s thermostat is not calling for cooling. The measurement of energy savings for this measure is based on algorithms with key variables provided by manufacturer data or prescribed herein. These savings take into account evaporator fan shut off and associated savings as a result of less heat being introduced into the walk-in, as well as the savings from the compressor, which is now being controlled through electronic temperature control.

[3795.] [3796.] Several case studies have been performed that verify the accuracy of these savings.

The algorithms below are based on field-tested approximations of energy savings realized


through installation of National Resource Management Inc. (NRM)’s Cooltrol® energy management system. 1

[3797.] [3798.] Algorithms [3799.] [3800.] Gross kWh Savings = kWh SavingsEF + kWh SavingsRH + kWh SavingsEC

[3801.] [3802.] kWh SavingsEF = ((AmpsEF * VoltsEF * (PhaseEF)1/2)/1000) * 0.55 * 8,760 * 35.52%[3803.] [3804.] kWh SavingsRH = kWh SavingsEF * 0.28 * 1.6[3805.] [3806.] kWh SavingsEC = (((AmpsCP * VoltsCP * (PhaseCP)1/2)/1000) * 0.85 * ((35% * WH) + (55% * NWH)) * 5%) + (((AmpsEF * VoltsEF * (PhaseEF)1/2)/1000) * 0.55 * 8,760 * 35.52% * 5%)[3807.] [3808.] Gross kW Savings = ((AmpsEF * VoltsEF * (PhaseEF)1/2)/1000) * 0.55 * D[3809.] [3810.] Definition of Variables [3811.]

[3812.] kWh SavingsEF = Savings due to Evaporator Fan being off[3813.] kWh SavingsRH = Savings due to reduced heat from Evaporator Fans[3814.] kWh SavingsEC = Savings due to the electronic controls on compressor and evaporator[3815.] AmpsEF = Nameplate Amps of Evaporator Fan[3816.] VoltsEF = Nameplate Volts of Evaporator Fan[3817.] PhaseEF = Phase of Evaporator Fan[3818.] 0.55 = Evaporator Fan Motor power factor.[3819.] 8,760 = Annual Operating Hours[3820.] 35.52% = Percent of time Evaporator Fan is turned off. 2

[3821.] 0.28 = Conversion from kW to tons (Refrigeration).[3822.] 1.6 = Efficiency of typical refrigeration system in kW/ton.3

[3823.] AmpsCP = Nameplate Amps of Compressor[3824.] VoltsCP = Nameplate Volts of Compressor[3825.] PhaseCP = Phase of Compressor[3826.] 0.85 = Compressor power factor.[3827.] 35% = Compressor duty cycle during winter months (estimated)[3828.] WH = Compressor hours during winter months (2,195)[3829.] 55% = Compressor duty cycle during non-winter months (estimated)[3830.] NWH = Compressor hours during non-winter months (6,565)


[3831.] 5% = Reduced run time of Compressor and Evaporator due to electronic controls.4

[3832.] D = 0.228 or Diversity Factor5

[3833.] [3834.] Sources :[3835.]

[(1)] Several case studies related to NRM’s Cooltrol system can be found at: http://www.nrminc.com/national_resource_management_case_studies_cooltrol_cooler_control_systems.html

[(2)] This value is an estimate by NRM based on hundreds of downloads of hours of use data from the electronic controller. It is an ‘average’ savings number and has been validated through several 3rd Party Impact Evaluation Studies including study performed by HEC, “Analysis of Walk-in Cooler Air Economizers”, Page 22, Table 9, October 10, 2000 for National Grid.

[(3)] Select Energy Services, Inc. Cooler Control Measure Impact Spreadsheet User’s Manual. 2004.

[(4)] This percentage has been collaborated by several utility sponsored 3rd Party studies including study conducted by Select Energy Services for NSTAR, March 9, 2004.

[(5)] Based on the report “Savings from Walk-In Cooler Air Economizers and Evaporator Fan Controls”, HEC, June 28, 1996.[3836.]

[3837.] Cooler and Freezer Door Heater Control 4540.[3838.] [3839.] This measure is applicable to existing walk-in coolers and freezers that have

continuously operating electric heaters on the doors to prevent condensation formation. This measure adds a control system feature to shut off the door heaters when the humidity level is low enough such that condensation will not occur if the heaters are off. This is performed by measuring the ambient humidity and temperature of the store, calculating the dewpoint, and using PWM (pulse width modulation) to control the anti-sweat heaters based on specific algorithms for freezer doors. The measurement of energy savings for this measure is based on algorithms with key variables provided by manufacturer data or prescribed herein.

[3840.] [3841.] Several case studies have been performed that verify the accuracy of these savings. The

algorithms below are based on field-tested approximations of energy savings realized through installation of National Resource Management Inc. (NRM)’s Cooltrol® energy management system.1

[3842.] [3843.] Low Temperature (Freezer) Door Heater Electric Defrost Control 4541.[3844.] [3845.] Algorithms [3846.]




[3847.] kWh Savings = (kWDH * 8,760) – ((40% * kWDH * 4,000) + (65% * kWDH * 4,760))[3848.] [3849.] kW Savings = kWDH * 46% * 75%[3850.] [3851.] Definition of Variables [3852.]

[3853.] kWDH = Total demand (kW) of the freezer door heaters, based on nameplate volts and amps.[3854.] 8,760 = Annual run hours of Freezer Door Heater before controls.[3855.] 40% = Percent of total run power of door heaters with controls providing maximum reduction.2

[3856.] 4,000 = Number of hours door heaters run at 40% power.[3857.] 65% = Percent of total run power of door heaters with controls providing minimum reduction.2

[3858.] 4,760 = Number of hours door heaters run at 65% power.[3859.] 46% = Freezer Door Heater off time.3

[3860.] 75% = Adjustment factor to account for diversity and coincidence at peak demand time.2

[3861.] [3862.] Medium Temperature (Cooler) Door Heater Control[3863.] [3864.] Algorithms [3865.] [3866.] kWh Savings = (kWDH * 8,760) – (60% * kWDH * 3,760)[3867.] [3868.] kW Savings = kWDH * 74% * 75%[3869.] [3870.] Definition of Variables [3871.]

[3872.] kWDH = Total demand (kW) of the cooler door heaters, based on nameplate volts and amps.[3873.] 8,760 = Annual run hours of Cooler Door Heater before controls.[3874.] 60% = Percent of total run power of door heaters with controls providing minimum reduction.2

[3875.] 3,760 = Number of hours door heaters run at 60% power.[3876.] 74% = Cooler Door Heater off time.3

[3877.] 75% = Adjustment factor to account for diversity and coincidence at peak demand time.2

[3878.] [3879.] Sources:


[3880.] [2.] Several case studies related to NRM’s Cooltrol system can be found at:


[3.] Estimated by NRM based on their experience of monitoring the equipment at various sites.[(1)] This value is an estimate by National Resource Management based on hundreds of

downloads of hours of use data from Door Heater controllers. This supported by 3rd Party Analysis conducted by Select Energy for NSTAR, “Cooler Control Measure Impact Spreadsheet Users’ Manual”, Page 5, March 9, 2004.[3881.]

[3882.] Aluminum Night Covers 4542.[3883.] [3884.] This measure is applicable to existing open-type refrigerated display cases where

considerable heat is lost through an opening that is directly exposed to ambient air. These retractable aluminum woven fabric covers provide a barrier between the contents of the case and the outside environment. They are employed during non-business hours to significantly reduce heat loss from these cases when contents need not be visible.

[3885.] [3886.] Savings approximations are based on the report, “Effects of the Low Emissivity

Shields on performance and Power use of a refrigerated display case”, by Southern California Edison, August 8, 1997. Southern California Edison (SCE) conducted this test at its state-of-the-art Refrigeration Technology and Test Center (RTTC), located in Irwindale, CA. The RTTC’s sophisticated instrumentation and data acquisition system provided detailed tracking of the refrigeration system’s critical temperature and pressure points during the test period. These readings were then utilized to quantify various heat transfer and power related parameters within the refrigeration cycle. The results of SCE’s test focused on three typical scenarios found mostly in supermarkets: low, medium and high temperature cases.[3887.]

[3888.] Algorithms [3889.]

[3890.] kWh Savings = W * H * F[3891.]

[3892.] Definition of Variables [3893.] [3894.] W = Width of protected opening in ft.[3895.] H = Hours per year covers are in place[3896.] F = Savings factor based on case temperature:

[3897.] Low temperature (-35F to -5F) F = 0.1 kW/ft[3898.] Medium temperature (0F to 30F) F = 0.06 kW/ft[3899.] High temperature (35F to 55F) F = 0.04 kW/ft

[3900.]


[3901.] Electric Defrost Control[3902.] [3903.] This measure is applicable to existing evaporator fans with a traditional electric

defrost mechanism. This control system overrides defrost of evaporator fans when unnecessary, reducing annual energy consumption. The estimates for savings take into account savings from reduced defrosts as well as the reduction in heat gain from the defrost process.

[3904.] [3905.] Independent Testing was performed by Intertek Testing Service on a Walk-in Freezer

that was retrofitted with Smart Electric Defrost capability. A baseline of 28 electric defrosts per week were established as the baseline for a two week period without the Smart Electric Defrost capability. With Smart Electric Defrost capability an average skip rate of 43.64% was observed for the following two week period.

[3906.] 4543.[3907.] [3908.] Algorithms [3909.] [3910.] Gross kWh Savings = kWh SavingsDefrost + kWh SavingsRH

[3911.] [3912.] kWh SavingsDefrost = KWDefrost * 0.667 * 4 * 365 * 35%[3913.] [3914.] kWh SavingsRH = kWh SavingsDefrost * 0.28 * 1.6[3915.] [3916.] Definition of Variables [3917.] [3918.] kWh SavingsDefrost = Savings due to reduction of defrosts[3919.] kWh SavingsRH = Savings due to reduction in refrigeration load[3920.] KWDefrost = Nameplate Load of Electric Defrost[3921.] 0.667 = Average Length of Electric Defrost in hours[3922.] 4 = Average Number of Electric Defrosts per day[3923.] 365 = Number of Days in Year[3924.] 35% = Average Number of Defrosts that will be eliminated in year[3925.] 0.28 = Conversion from kW to tons (Refrigeration)[3926.] 1.6 = Efficiency of typical refrigeration system in kW/ton1

[3927.] [3928.] Sources:

[(1)] Select Energy Services, Inc. Cooler Control Measure Impact Spreadsheet User’s Manual. 2004.[3929.]


[3930.] LED Lighting for Coolers and Freezers[3931.] This measure is applicable to existing walk-in and reach-in coolers and freezers with

non-LED lighting. LED lighting is not only more efficient, but also provides higher quality lighting for cooler and freezer displays as they are more suited for cold environments. In addition, LEDs have a longer operating life than fluorescents in cooler and freezer applications, which results in reduced life cycle costs. The estimated savings for this measure take into account both reduced wattage of replacement lighting and reduced refrigeration load from lighting heat loss.

[3932.] [3933.] Algorithms [3934.] [3935.] kWh Savings = (((WattsB - WattsLED)/1000) * H) * (1 + (0.28 * 1.6))[3936.] [3937.] kW Savings = ((WattsB - WattsLED)/1000) * (1 + (0.28 * 1.6))[3938.] [3939.] Definition of Variables [3940.] [3941.] WattsB = Baseline Lighting Wattage[3942.] WattsLED = LED Lighting Wattage[3943.] 1000 = Conversion from W to kW[3944.] H = Lighting Operating Hours[3945.] 0.28 = Conversion from kW to tons (Refrigeration)[3946.] 1.6 = Efficiency of typical refrigeration system in kW/ton45

[3947.] Novelty Cooler Shutoff 4544.[3948.] Energy Efficient Glass Doors on Open Refrigerated Cases 4545. ECM on Evaporator Fans 4546. Refrigerated Vending Machine Control 4547. Refrigerated Case LED Lighting (Prescriptive Lighting)

4548. Vending Machine Controls4549. This measures outlines the deemed savings for the installation of a gas-fired low

intensity infrared heating system in place of unit heater, furnace, or other standard efficiency equipment4550.

4551.[3949.] Algorithms4552.4553.[3950.] Electric Savings (kWh/yr) = kWv * Hrs * SF4554. 4555. Peak Demand Savings (kW) = kWv * SF4556.

45 Select Energy Services, Inc. Cooler Control Measure Impact Spreadsheet User’s Manual. 2004.


4557.[3951.] Definition of Variables4558. This measure is applicable to existing reach-in novelty coolers which run

continuously. The measure adds a control system feature to automatically shut off novelty coolers based on pre-set store operating hours. Based on programmed hours, the control mechanism shuts off the cooler at end of business, and begins operation on reduced cycles. Regular operation begins the following day an hour before start of business. The measurement of energy savings for this measure is based on algorithms with key variables provided by manufacturer data or prescribed herein.

[3952.] [3953.] Several case studies have been performed that verify the accuracy of these savings.

The algorithms below are based on field-tested approximations of energy savings realized through installation of National Resource Management Inc. (NRM)’s Cooltrol® energy management system. 1

[3954.] [3955.] Algorithms [3956.] [3957.] kWh Savings = (((AmpsNC * VoltsNC * (PhaseNC)1/2)/1000) * 0.85) * ((0.45 * ((CH – 1) * 91)) + (0.5 * ((CH – 1) * 274)))[3958.] [3959.] Definition of Variables [3960.]

4559.[3961.] kWv = Connected kW of equipment4560. Hrs = Operating hours of equipment4561. SF = Percent savings factor of equipment

4562. Summary of Assumptions 4563.

4564.Varia

ble

4565. Type 4566. Value

4567. S ourc

e

4568.kWv

4569. Refrigerated beverage vending machine

4570. Non-refrigerated snack vending machine

4571. Glass front refrigerated coolers

4572. 0.4 kW

4573. 0.085 kW

4574. 0.46 kW

4575. 1

4576.Hrs

4577. Hours of operating of vending machine

4578. Variable,

default 8,760 hours

4579. A pplication

4580.SF

4581. Refrigerated beverage vending machine

4582. Non-refrigerated snack

4584. 46%4585. 46%4586. 30%

4587. 1


vending machine4583. Glass front refrigerated coolers

4588. 4589. AmpsNC = Nameplate Amps of Novelty Cooler[3962.] VoltsNC = Nameplate Volts of Novelty Cooler[3963.] PhaseNC = Phase of Novelty Cooler[3964.] 0.85 = Novelty Cooler power factor2

[3965.] 0.45 = Duty cycle during winter month nights3

[3966.] CH = Closed Store hours[3967.] 91 = Number of days in winter months[3968.] 0.5 = Duty cycle during non-winter month nights3

[3969.] 274 = Number of days in non-winter months[3970.] [3971.] Sources :

4590.[3972.]

[(1)] Several case studies related to NRM’s Cooltrol system can be found at: http://www.nrminc.com/national_resource_management_case_studies_cooltrol_cooler_control_systems.html

[2.] Estimated by NRM based on their experience of monitoring the equipment at various sites.[1.] Massachusetts Technical Reference Manual, October 2015.

(1) Duty Cycles are consistent with 3rd Party study done by Select Energy for NSTAR“Cooler Control Measure Impact Spreadsheet Users’ Manual”, page 5, March 9, 2004.[3973.]




[3974.] Gas Space and Water Heating Measures4591.[3975.] Replacement of existing gas, oil, and propane water heaters with high

efficiency units is a proposed measure under the C&I Energy Efficienct Construction GasHVAC Systems Protocols. The Direct Install savings protocol will be the same as previously stated in this document with the baselines designed to reflect current market practices, which in this case reflect ASHRAE 90.1-2007. These tables are included in the C&I Protocol.

4592. Gas Space Heating Measures

[3976.] Gas Furnaces and Boilers

[3977.] Replacement of existing gas, oil, andor propane furnaces and boilers with high efficiency units is a proposed measure under the C&I Energy Efficienct Direct Install Program. (See C&I Construction GasHVAC SystemsGas Protocols.). The Direct Install savings protocol will be the same as previously stated in this document with the exception of the assumption for baseline efficiency.

4593. Efficiency baselines are designed to reflect current market practices, which in this case reflect ASHRAE 90.1-2007. For the Direct Install program, the following values will be used for the variable identified as Effb.AFUEb. These age-based efficiencies are used in estimating savings associated with the Direct Install Program because as an early replacement program, equipment is replaced as a direct result of the program.

4594.[3978.] 4595.


4596. Baseline Boiler Efficiencies (Effb)[3979.] Default Values for Mechanical System Efficiencies – Age-Based

[3980.] Boiler TypeSystem

4597.[3981.] Size Categor

y4598. (kBt

u input)Units

[3982.] Standard 90.1-200

7Pre-1992

[3983.] Hot Water – Gas firedor

Propane

4599.[3984.] < 300

4600. >

4602. 80% AFUE

4603. 75% 4605. Hot Water

– Oil fired4606. <

3004607. >

4609. 80% AFUE

4610. 78% 4612. Steam –

Gas firedor 4613.[3985.]

< 3004614. 75%

AFUE4615.[3986.] Steam, all except

4616. > 300 and

4617. 75% Et4618. Steam,

natural draft4619. >

300 and 4620. 75%

Et4621. Steam – Oil firedFurnace or

Boiler

4622.[3987.] < 300

4623. >

4625. 80% AFUE

4626. 78% 4628.[3988.] Source: 2006 Mortgage Industry National Home Energy Ratings Systems Standards, Table 303.7.1(3) Default Values for Mechanical System Efficiencies (Age-based), RESNET.

4629.[3989.] 4630.[3990.] NOTE – The age-based efficiencies in the above table have been interpolated

from RESNET standards and current baseline figures utilized in NJ C&I Energy Efficiency Rebate programs. With no equivalent resource available specific to small commercial equipment, these combined resources reflect the closest approximation to typical efficiencies of mechanical equipment present in Direct Install project facilities. The Direct Install program is targeted towards small commercial customers. As such, eligible equipment must not exceed a maximum capacity determined to be commonplace in the small C&I sector. In most cases, these capacity ranges correlate well with equipment certified by AHRI under the designation “Residential”.

4631.[3991.] Small Commercial Boilers [Inactive 2017, Not Reviewed]4632.[3992.] This section will apply only for boilers that are closed loop and for space

heating. 4633.[3993.] 4634.[3994.] For Boilers that are under 5000 MBtuH use the calculator from the Federal

Energy Management Program at: http://www1.eere.energy.gov/femp/technologies/eep_boilers_calc.html

4635.[3995.]


http://www1.eere.energy.gov/femp/technologies/eep_boilers_calc.html

[3996.] Gas, Oil, and Propane FurnacesInfrared Heating

[3997.] Replacement of existing atmospherically vented heating with gas, oil, and or propane infrared heating is an available measure under the Direct Install Program. (See C&I Construction Gas Protocols).

[3998.] Gas Water Heating[3999.]

[4000.] Replacement of existing gas furnaces and boilers with gas high efficiency units is a proposed measure under the Direct Install Program. (See C&I Energy Efficienct Construction Gas HVAC Systems Protocols.). The Direct Install savings protocol will be the same as previously stated in this document with the exception of the assumption for baseline efficiency.

4636. Efficiency baselines are designed to reflect current market practices, which in this case reflect ASHRAE 90.1-2007. For the Direct Install program, the following values will be used for the variable identified as Effb.EFFb. These age-based efficiencies are used in estimating savings associated with the Direct Install Program because as an early replacement program, equipment is replaced as a direct result of the program.

4637.[4001.] [4002.] Baseline FurnaceDefault Values for Water Heating System Efficiencies (Effb)–

Age-Based

[4003.] FurnaceWater

Heater Type

4638.[4004.] Size Categ

ory4639. (k

Btu input)Units

[4005.] Standard 90.1-200

7Pre-1992

4640.[4006.] Gas Fired

4641. < 225

4643.[4007.] 78% AFUE4645.[4008.] Oil

Fired4646. <

2254648.[4009.] 78% AFUE[4010.] Ele

ctric[4011.] EF

[4012.] 0.87

[4013.] 0.88


[4014.] Source: 2006 Mortgage Industry National Home Energy Ratings Systems Standards, Table 303.7.1(3) Default Values for Mechanical System Efficiencies (Age-based), RESNET.

[4015.]

[4016.] NOTE – The age-based efficiencies in the above table have been interpolated from RESNET standards and current baseline figures utilized in NJ C&I Energy Efficiency Rebate programs. With no equivalent resource available specific to small commercial equipment, these combined resources reflect the closest approximation to typical efficiencies of mechanical equipment present in Direct Install project facilities. The Direct Install program is targeted towards small commercial customers. As such, eligible equipment must not exceed a maximum capacity determined to be commonplace in the small C&I sector. In most cases, these capacity ranges correlate well with equipment certified by AHRI under the designation “Residential”.

[4017.]

[4018.] Food Service Measures

[4019.]

[4020.] Energy efficient electric or natural gas cooking equipment of the following listed types utilized in commercial food service applications which have performance rated in accordance with the listed ASTM standards:

[4021.] Infrared Heating4650. Replacement of existing atmospherically vented heating with infrared heating is is a

proposed measure under Commercial and Industrial Energy Efficient Construction. Because this is a deemed savings measure the protocol will be exactly the same as previously stated in this document.

4651. Programmable Thermostats

4652. This measure provides savings algorithms for programmable thermostats installed through the direct install program in commercial buildings. The baseline for this measure is manual thermostats that require occupant adjustment to change the space temperature. Non-communicating programmable thermostats achieve energy savings over manual thermostats by automatically setting temperatures back in the winter, or up in the summer, per a factory default schedule, or a user modified schedule. Setback/set up schedules achieve heating fuel savings in the winter, and cooling electric savings in the summer.

4653. The savings factors for this measure come from the Michigan Energy Measures Database (MEMD), which shows deemed cooling and heating savings per 1,000 square feet of building space. The MEMD savings values for programmable thermostats were determined through measurement and verification of installed thermostats in a variety of commercial building types. For this measure, values for the Detroit airport locale are used


because the ambient temperatures are closest to those for the New Jersey locale, and results are averaged across HVAC equipment types.

4654. There are no peak demand savings for this measure, and motel and auto repair space types are excluded from this measure. Electric combination and convection ovens – ASTM 1639-F

Gas combination and convection ovens – ASTM 1639-F

Gas conveyor and rack ovens – ASTM 1817-F

Electric and gas small vat fryers – ASTM 1361-F

Electric and gas large vat fryers – ASTM 2144-F

Electric and gas steamers – ASTM 1484-F

Electric and gas griddles – ASTM 1275-F

Hot food holding cabinets – ATM F2140-11

[4022.] [4023.] Electric and Gas Combination Oven/Steamer[4024.] [4025.] The measurement of energy savings for this measure is based on algorithms with key

variables provided by manufacturer data or prescribed herein.[4026.] 4655.[4027.] Algorithms 4656.[4028.] 4657.[4029.] Fuel Savings (MMBtu/yr) = SQFT1000 * SFheat

4658. 4659. Annual Energy Savings (kWh/yr) = SQFT1000 * SFcool or Therms) = D*(Ep + Eic + Eis +

Ecc + Ecs)4660.[4030.] [4031.] Demand Savings (kW) = kWh Savings/(D*H)[4032.] [4033.] Preheat Savings†: Ep = P*(PEb – PEq)[4034.] [4035.] Convection Mode Idle Savings†: Eic = (Icb – Icq)*((H – (P*Pt)) – (Icb/PCcb – Icq/PCcq)*Lbs)*(1 – St)[4036.] [4037.] Steam Mode Idle Savings†: Eis = (Isb – Isq)*((H – (P*Pt)) – (Isb/PCsb – Isq/PCsq)*Lbs)*St

[4038.] [4039.] Convection Mode Cooking Savings: Ecc = Lbs*(1-St)*Heatc*(1/Effcb – 1/Effcq)/C[4040.] [4041.] Steam Mode Cooking Savings: Ecs = Lbs*St*Heats*(1/Effsb – 1/Effsq)/C[4042.]


[4043.] † - For gas equipment, convert these intermediate values to therms by dividing the result by 100,000 Btu/therm

[4044.] [4045.] Definition of Variables (See tables of values below for more information) [4046.] SQFT1000D = Operating Days per Year[4047.] P = Number of thousandsPreheats per Day[4048.] PEb = Baseline Equipment Preheat Energy[4049.] PEq = Qualifying Equipment Preheat Energy[4050.] Icb = Baseline Equipment Convection Mode Idle Energy Rate[4051.] Icq = Qualifying Equipment Convection Mode Idle Energy Rate[4052.] H = Daily Operating Hours[4053.] Pt = Preheat Duration[4054.] PCcb = Baseline Equipment Convection Mode Production Capacity[4055.] PCcq = Qualifying Equipment Convection Mode Production Capacity[4056.] Lbs = Total Daily Food Production[4057.] St = Percentage of Time in Steam Mode[4058.] Isb = Baseline Equipment Steam Mode Idle Energy Rate[4059.] Isq = Qualifying Equipment Steam Mode Idle Energy Rate[4060.] PCsb = Baseline Equipment Steam Mode Production Capacity[4061.] PCsq = Qualifying Equipment Steam Mode Production Capacity[4062.] Heatc = Convection Mode Heat to Food[4063.] Effcb = Baseline Equipment Convection Mode Cooking Efficiency[4064.] Effcq = Qualifying Equipment Convection Mode Cooking Efficiency[4065.] C = Conversion Factor from Btu to kWh or Therms[4066.] Heats = Steam Mode Heat to Food[4067.] Effsb = Baseline Equipment Steam Mode Cooking Efficiency[4068.] Effsq = Qualifying Equipment Steam Mode Cooking Efficiency[4069.]


[4070.]

<15 Pans 15-28 Pans >28 Pans <15 Pans 15-28 Pans >28 PansD - Operating Days per Year Table 3 Table 3 Table 3 Table 3 Table 3 Table 3P - Number of Preheats per Day 1 1 1 1 1 1PEb & PEq - Preheat Energy (kWh) 3.00 3.75 5.63 1.50 2.00 3.00Icb & Icq - Convection Mode Idle Energy Rate (kW) 3.00 3.75 5.25 Application Application ApplicationH - Operating Hours per Day Table 3 Table 3 Table 3 Table 3 Table 3 Table 3Pt - Preheat Duration (hrs) 0.25 0.25 0.25 0.25 0.25 0.25PCcb & PCcq - Convection Mode Prod. Capacity (lbs/hr) 80 100 275 100 125 325Lbs - Total Daily Food Production (lbs) 200 250 400 200 250 400St - Percentage of Time in Steam Mode 50% 50% 50% 50% 50% 50%Isb & Isq - Steam Mode Idle Energy Rate (kW) 10.0 12.5 18.0 Application Application ApplicationPCsb & PCsq - Steam Mode Prod. Capacity (lbs/hr) 100 150 350 120 200 400Heatc - Convection Heat to Food (Btu/lb) 250 250 250 250 250 250Effcb & Effcq - Convection Mode Cooking Efficiency 65% 65% 65% Application Application ApplicationC - Btu/kWh 3,412 3,412 3,412 3,412 3,412 3,412Heats - Steam Heat to Food (Btu/lb) 105 105 105 105 105 105Effsb & Effsq - Steam Mode Cooking Efficiency 40% 40% 40% Application Application Application

Baseline QualifyingTable 1: Electric Combination Oven/Steamers

Variable

[4071.] [4072.]

<15 Pans 15-28 Pans >28 Pans <15 Pans 15-28 Pans >28 PansD - Operating Days per Year Table 3 Table 3 Table 3 Table 3 Table 3 Table 3P - Number of Preheats per Day 1 1 1 1 1 1PEb & PEq - Preheat Energy (Btu) 18,000 22,000 32,000 13,000 16,000 24,000Icb & Icq - Convection Mode Idle Energy Rate (Btu/h) 15,000 20,000 30,000 Application Application ApplicationH - Operating Hours per Day Table 3 Table 3 Table 3 Table 3 Table 3 Table 3Pt - Preheat Duration (h) 0.25 0.25 0.25 0.25 0.25 0.25PCcb & PCcq - Convection Mode Prod. Capacity (lbs/h) 80 100 275 100 125 325Lbs - Total Daily Food Production (lbs) 200 250 400 200 250 400St - Percentage of Time in Steam Mode 50% 50% 50% 50% 50% 50%Isb & Isq - Steam Mode Idle Energy Rate (kW) 45,000 60,000 80,000 Application Application ApplicationPCsb & PCsq - Steam Mode Prod. Capacity (lbs/h) 100 150 350 120 200 400Heatc - Convection Heat to Food (Btu/lb) 250 250 250 250 250 250Effcb & Effcq - Convection Mode Cooking Efficiency 35% 35% 35% Application Application ApplicationC - Btu/Therm 100,000 100,000 100,000 100,000 100,000 100,000Heats - Steam Heat to Food (Btu/lb) 105 105 105 105 105 105Effsb & Effsq - Steam Mode Cooking Efficiency 20% 20% 20% Application Application Application

Baseline QualifyingTable 2: Gas Combination Oven/Steamers

Variable

[4073.]


[4074.]




information on the Food Service Technology Center program’s website, www.fishnick.com, by Fisher-Nickel, Inc. and funded by California utility customers and administered by Pacific Gas and Electric Company under the auspicessquare feet of building space46the California Public Utility Commission.

46 For example, a 5,000 ft2 building would have a SQFT1000 value of 5


[4078.] Electric and Gas Convection Ovens, Gas Conveyor and Rack Ovens, Steamers, Fryers, and Griddles

[4079.] [4080.] The measurement of energy savings for these measures are based on algorithms with

key variables provided by manufacturer data or prescribed herein.[4081.] [4082.] Algorithms [4083.] 4661.[4084.] SFheat = Heating savings factor (MMBtu per 1,000 ft2 of building space)4662. SFcool = Cooling savings factorAnnual Energy Savings (kWh or Therms) = D * (Ep +

Ei + Ec)[4085.] [4086.] Demand Savings (kW) = kWh Savings / (D * H)[4087.] [4088.] Preheat Savings†: Ep = P * (PEb – PEq)[4089.] [4090.] Idle Savings†: Ei = (Ib – Iq) * ((H – (P*Pt)) – (Ib/PCb – Iq/PCq) * Lbs)[4091.] [4092.] Cooking Savings: Ec = Lbs * Heat * (1/Effb – per 1/Effq) / C[4093.] [4094.] † - For gas equipment, convert these intermediate values to therms by dividing the

result by 100,000 Btu/therm[4095.] [4096.] Definition,000 ft2 of building spaceVariables (See tables of values below for more

information)4663.[4097.] [4098.] SummaryD = Operating Days per Year[4099.] P = Number of Inputs Preheats per Day [4100.] PEb = Baseline Equipment Preheat Energy[4101.] PEq = Qualifying Equipment Preheat Energy[4102.] Ib = Baseline Equipment Idle Energy Rate[4103.] Iq = Qualifying Equipment Idle Energy Rate[4104.] H = Daily Operating Hours[4105.] Pt = Preheat Duration[4106.] PCb = Baseline Equipment Production Capacity[4107.] PCq = Qualifying Equipment Production Capacity[4108.] Lbs = Total Daily Food Production[4109.] Heat = Heat to Food[4110.] Effb = Baseline Equipment Convection Mode Cooking Efficiency[4111.] Effq = Qualifying Equipment Convection Mode Cooking Efficiency[4112.] C = Conversion Factor from Btu to kWh or Therms[4113.]


[4114.]

Full Size Half Size Full Size Half SizeD - Operating Days per Year Table 11 Table 11 Table 11 Table 11P - Number of Preheats per Day 1 1 1 1PEb & PEq - Preheat Energy (kWh) 1.50 1.00 1.00 0.90Ib & Iq - Idle Energy Rate (kW) 2.00 1.50 Application ApplicationH - Operating Hours per Day Table 11 Table 11 Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 70 45 82 53Lbs - Total Daily Food Production (lbs) 100 100 100 100Heat - Heat to Food (Btu/lb) 250 250 250 250Effb & Effq - Heavy Load Cooking Efficiency 65% 65% Application ApplicationC - Btu/kWh 3,412 3,412 3,412 3,412

Table 1: Electric Convection Ovens


[4115.]

[4116.]

Full Size Half Size Full Size Half SizeD - Operating Days per Year Table 11 Table 11 Table 11 Table 11P - Number of Preheats per Day 1 1 1 1PEb & PEq - Preheat Energy (Btu) 19,000 13,000 11,000 7,500Ib & Iq - Idle Energy Rate (Btu/h) 18,000 12,000 Application ApplicationH - Operating Hours per Day Table 11 Table 11 Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 70 45 83 55Lbs - Total Daily Food Production (lbs) 100 100 100 100Heat - Heat to Food (Btu/lb) 250 250 250 250Effb & Effq - Heavy Load Cooking Efficiency 30% 30% Application ApplicationC - Btu/Therm 100,000 100,000 100,000 100,000

Table 2: Gas Convection Ovens


[4117.]

[4118.]

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (Btu) 35,000 18,000Ib & Iq - Idle Energy Rate (Btu/hr) 70,000 ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 114 167Lbs - Total Daily Food Production (lbs) 190 190Heat - Heat to Food (Btu/lb) 250 250Effb & Effq - Heavy Load Cooking Efficiency 20% ApplicationC - Btu/Therm 100,000 100,000

Table 3: Gas Conveyor Ovens

[4119.]


[4120.]

Double Rack Single Rack Double Rack Single RackD - Operating Days per Year Table 11 Table 11 Table 5 Table 5P - Number of Preheats per Day 1 1 1 1PEb & PEq - Preheat Energy (Btu) 100,000 50,000 85,000 44,000Ib & Iq - Idle Energy Rate (Btu/h) 65,000 43,000 Application ApplicationH - Operating Hours per Day Table 11 Table 11 Table 5 Table 5Pt - Preheat Duration (hrs) 0.33 0.33 0.33 0.33PCb & PCq - Production Capacity (lbs/hr) 250 130 280 140Lbs - Total Daily Food Production (lbs) 1200 600 1200 600Heat - Heat to Food (Btu/lb) 235 235 235 235Effb & Effq - Heavy Load Cooking Efficiency 30% 30% Application ApplicationC - Btu/Therm 100,000 100,000 100,000 100,000

Table 4: Gas Rack Ovens


[4121.]

[4122.]

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (kWh) 1.50 1.50Ib & Iq - Idle Energy Rate (kW) 0.167 x No. of Pans ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 11.7 x No. of Pans 14.7 x No. of PansLbs - Total Daily Food Production (lbs) 100 100Heat - Heat to Food (Btu/lb) 105 105Effb & Effq - Heavy Load Cooking Efficiency 26% ApplicationC - Btu/kWh 3,412 3,412

Table 5: Electric Steamers

[4123.]

[4124.]

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (Btu) 20,000 9,000Ib & Iq - Idle Energy Rate (Btu/h) 2,500 x No. of Pans ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 23.3 x No. of Pans 20.8 x No. of PansLbs - Total Daily Food Production (lbs) 100 100Heat - Heat to Food (Btu/lb) 105 105Effb & Effq - Heavy Load Cooking Efficiency 15% ApplicationC - Btu/Therm 100,000 100,000

Table 6: Gas Steamers

[4125.]


[4126.]

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (kWh) 2.40 1.90Ib & Iq - Idle Energy Rate (kW) 1.2 ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 71 71Lbs - Total Daily Food Production (lbs) 150 150Heat - Heat to Food (Btu/lb) 570 570Effb & Effq - Heavy Load Cooking Efficiency 75% ApplicationC - Btu/kWh 3,412 3,412

Table 7: Electric Fryers

[4127.]

[4128.]

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (Btu) 18,500 16,000Ib & Iq - Idle Energy Rate (Btu/h) 17,000 ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 75 75Lbs - Total Daily Food Production (lbs) 150 150Heat - Heat to Food (Btu/lb) 570 570Effb & Effq - Heavy Load Cooking Efficiency 35% ApplicationC - Btu/Therm 100,000 100,000

Table 8: Gas Fryers

[4129.]

[4130.]

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (kWh) 1.3 x Griddle Width (ft) 0.7 x Griddle Width (ft)Ib & Iq - Idle Energy Rate (kW) 0.8 x Griddle Width (ft) ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 11.7 x Griddle Width (ft) 13.3 x Griddle Width (ft)Lbs - Total Daily Food Production (lbs) 100 100Heat - Heat to Food (Btu/lb) 475 475Effb & Effq - Heavy Load Cooking Efficiency 60% ApplicationC - Btu/kWh 3,412 3,412

Table 9: Electric Griddles

[4131.]


[4132.]

Variable Baseline QualifyingD - Operating Days per Year Table 11 Table 11P - Number of Preheats per Day 1 1PEb & PEq - Preheat Energy (Btu) 7,000 x Griddle Width (ft) 5,000 x Griddle Width (ft)Ib & Iq - Idle Energy Rate (Btu/h) 7,000 x Griddle Width (ft) ApplicationH - Operating Hours per Day Table 11 Table 11Pt - Preheat Duration (hrs) 0.25 0.25PCb & PCq - Production Capacity (lbs/hr) 8.3 x Griddle Width (ft) 15 x Griddle Width (ft)Lbs - Total Daily Food Production (lbs) 100 100Heat - Heat to Food (Btu/lb) 475 475Effb & Effq - Heavy Load Cooking Efficiency 30% ApplicationC - Btu/Therm 100,000 100,000

Table 10: Gas Griddles

[4133.]

[4134.]





[4138.]


[4139.] Insulated Food Holding Cabinets[4140.] [4141.] The measurement of energy savings for this measure is based on algorithms with key

variables provided by manufacturer data or prescribed herein.[4142.] [4143.] Algorithms [4144.] [4145.] Annual Energy Savings (kWh) = D * H * (Ib – Iq)[4146.] [4147.] Demand Savings (kW) = Ib – Iq

[4148.] [4149.] Definition of Variables (See tables of values below for more information) [4150.] [4151.] D = Operating Days per Year[4152.] H = Daily Operating Hours[4153.] Ib = Baseline Equipment Idle Energy Rate[4154.] Iq = Qualifying Equipment Idle Energy Rate[4155.] [4156.]

Full Size 3/4 Size 1/2 Size Full Size 3/4 Size 1/2 SizeD - Operating Days per Year Table 2 Table 2 Table 2 Table 2 Table 2 Table 2Ib & Iq - Idle Energy Rate (kW) 1.00 0.69 0.38 Application Application ApplicationH - Operating Hours per Day Table 2 Table 2 Table 2 Table 2 Table 2 Table 2

Table 1: Insulated Food Holding Cabinets


[4157.]

[4158.]



[4159.]


4664.[4160.] [4161.] Sources:[4162.] Savings algorithm, baseline values, assumed values and lifetimes developed from


[1.]

[4163.] Occupancy Controlled Thermostats[4164.] [4165.] The program has received a large amount of custom electric applications for the

installation of Occupancy Controlled Thermostats in hotels, motels, and, most recently, university dormitories. Due to the number of applications, consistent incentive amounts ($75 per thermostat) and predictable savings of the technology TRC recommends that a prescriptive application be created for this technology.

[4166.] [4167.] Standard practice today is thermostats which are manually controlled by occupants to

regulate temperature within a facility. An occupancy controlled thermostat is a thermostat paired with a sensor and/or door detector to identify movement and determine if a room is occupied or unoccupied. If occupancy is sensed by the sensor, the thermostat goes into an occupied mode (i.e. programmed setpoint). If a pre-programmed time frame elapses (i.e. 30 minutes) and no occupancy is sensed during that time, the thermostat goes into an unoccupied mode (e.g., setback setpoint or off) until occupancy is sensed again. This type of thermostat is often used in hotels to conserve energy.

[4168.] [4169.] The occupancy controlled thermostat reduces the consumption of electricity and/or

gas by requiring less heating and/or cooling when a room or a facility is vacant or unoccupied.

4665.[4170.] [4171.] Algorithms [4172.] [4173.] Cooling Energy Savings (kWh) = (((Tc * (H+5) + Sc * (168 - (H+5)))/168) Tc) * (Pc * Caphp * 12 * EFLHc/EERhp)[4174.] [4175.] Heating Energy Savings (kWh) = (((Th * (H+5) + Sh * (168 - (H+5)))/168)-Th) * (Ph * Caphp * 12 * EFLHh/EERhp)[4176.] [4177.] Heating Energy Savings (Therms) = (Th - (Th * (H+5) + Sh * (168 - (H+5)))/168) * (Ph * Caph * EFLHh/AFUEh/100,000)[4178.] [4179.] Definition of Variables

[4180.] [4181.] Th = Heating Season Facility Temp. (°F) [4182.] Tc = Cooling Season Facility Temp. (°F) [4183.] Sh = Heating Season Setback Temp. (°F)


[4184.] Sc = Cooling Season Setup Temp. (°F) [4185.] H = Weekly Occupied Hours[4186.] Caphp = Connected load capacity of heat pump/AC (Tons) – Provided on Application.[4187.] Caph = Connected heating load capacity (Btu/hr) – Provided on Application.[4188.] EFLHc = Equivalent full load cooling hours [4189.] EFLHh = Equivalent full load heating hours [4190.] Ph = Heating season percent savings per degree setback [4191.] Pc = Cooling season percent savings per degree setup [4192.] AFUEh = Heating equipment efficiency – Provided on Application.[4193.] EERhp = Heat pump/AC equipment efficiency – Provided on Application[4194.] 12 = Conversion factor from Tons to kBtu/hr to acquire consumption in kWh.[4195.] 168 = Hours per week.[4196.] 5 = Assumed weekly hours for setback/setup adjustment period (based on 1

setback/setup per day, 5 days per week).[4197.] [4198.] Occupancy Controlled Thermostats

4666. Programmable Thermostat Assumptions4667. [4199.]

[4200.] Component

4668.[4201.] Type

4669.[4202.] Value 4670.[4203.] Source

[4204.] SQFT1000Th

4671.[4205.] Variable

4672.[4206.] Customer specified


[4208.] Tc [4209.] Vari

able

[4210.] [4211.] Application

[4212.] Sh [4213.] Fixe

d

[4214.] Th-5° [4215.]

[4216.] Sc [4217.] Fixe

d

[4218.] Tc+5° [4219.]

[4220.] H [4221.] Vari

able

[4222.] [4223.] Application; Default of 56 hrs/week

[4224.] Caphp [4225.] Vari

abl



[4200.] Component

4668.[4201.] Type

4669.[4202.] Value 4670.[4203.] Source

e[4228.] Caph [4229.]

Variable


[4232.] SFheatEFLHc 4674.[4233.] Fixed

[4234.] 1.68 MMBtu / 1,000 ft2 381

4675.[4235.] 1

[4236.] SFcoolEFLHh4676.[4237.]

Fixed[4238.] 74.7 kWh /

1,000 ft2 900[4239.] 1

PSE&G[4240.] Ph [4241.]

Fixed

[4242.] 3% [4243.] 2

[4244.] Pc [4245.] Fixe

d

[4246.] 6% [4247.] 2

[4248.] AFUEh

[4249.] Vari

able


[4252.] EERhp [4253.] Vari

able


[4256.] [4257.] Sources : [1.] JCP&L metered data from 1995-1999[1.] ENERGY STAR Products websiteMichigan Public Service Commission. 2017 Michigan

Energy Measures Database (MEMD) with Weather Sensitive Weighting Tool. Available for download at: http://www.michigan.gov/mpsc/0,4639,7-159-52495_55129---,00.html

4677. Boiler Reset Controls

4678. The following algorithm detail savings for installation of boiler reset control on commercial boilers. Energy savings are realized through a better control on boiler water temperature. Through the use of software settings, boiler reset controls use outside or return water temperature to control boiler firing and in turn the boiler water temperature.


http://www.michigan.gov/mpsc/0,4639,7-159-52495_55129---,00.html

4679. The input values are based on data supplied by the utilities and customer information on the application form, confirmed with manufacturer data. Unit savings are deemed based on study results.

4680. Algorithms

4681. Fuel Savings (MMBtu/yr) = (% Savings) * (EFLHh * kBtuin/hr) / 1,000 kBtu/MMBtu4682. 4683. Definition of Variables 4684. % Savings = Estimated percentage reduction in heating load due to boiler reset controls

(5%)4685. EFLHh = The Equivalent Full Load Hours of operation for the average unit during the heating season4686. kBtuin/hr = Input capacity of boiler

4687. 4688. Summary of Inputs 4689.

4690. Boiler Reset Control Assumptions4691. Compon


e4695. %

Savings4696.Fixed 4697. 5% 4698. 1

4699. EFLHh

4700.Varia

ble

4701. See Table 1 4702. 2 47

4703. kBtuin/hr

4704.Varia

ble


4707. 4708. Small Commercial EFLHh

4709. Building 4710. EFLHh

4711. Assembly 4712. 6034713. Auto Repair 4714. 19104715. Fast Food

Restaurant4716. 813

4717. Full Service Restaurant

4718. 821

4719. Light Industrial

4720. 714

4721. Motel 4722. 6194723. Primary 4724. 840

47 From NY TRM 2016, for NYC due to proximity to NJ; for small commercial and large commercial buildings


4709. Building 4710. EFLHh

School4725. Religious

Worship4726. 722

4727. Small Office

4728. 431

4729. Small Retail 4730. 5454731. Warehouse 4732. 452

4733. Other 4734. 6814735. 4736. Sources

1. GDS Associates, Inc. Natural Gas Energy Efficiency Potential in Massachusetts, 2009, p. 38 Table 6-4.

2. NY, Standard Approach for Estimating Energy Savings, V4, April 2016, Appendix G – Equivalent Full-Load Hours (EFLH), For Heating and Cooling, p. 444. Derived from DOE2.2 simulations reflecting a range of building types and climate zones.3. [4258.]

[4259.] Dual Enthalpy Economizers4737.[4260.] Installation of Dual Enthalpy Economizers is a proposed measure under the

Commercial and Industrial Energy Efficient Construction. Because there is no baseline assumption included in the protocols for this measure, the savings protocol will be exactly the same as previously stated in this document.

[4261.] Dual enthalpy economizers are used to control a ventilation system’s outside air intake in order to reduce a facility’s total cooling load. An economizer monitors the outside air to ensure that its temperature (sensible heat) and humidity (latent heat) are low enough to utilize outside air to provide cooling in place of the cooling system’s compressor. This reduces the demand on the cooling system, lowering its usage hours, saving energy.

[4262.]

[4263.] The measurement of energy savings associated with dual enthalpy economizers is based on algorithms with key variables provided through DOE-2 simulation modeling and ClimateQuest’s economizer savings calculator. Savings are calculated per ton of connected cooling load. The baseline conditions are fixed damper for equipment under 5.4 tons and dry bulb economizer otherwise.

[4264.] [4265.] Algorithms [4266.] [4267.] Energy Savings (kWh) = OTF * SF * Cap / Eff[4268.] [4269.] Demand Savings (kW) = Savings/Operating Hours[4270.]


[4271.] Definition of Variables [4272.]

[4273.] OTF = Operational Testing Factor [4274.] [4275.] SF = Approximate savings factor based on regional temperature bin data (assume

4576 for equipment under 5.4 tons where a fixed damper is assumed for the baseline and 3318 for larger equipment where a dry bulb economizer is assumed for the baseline). (Units for savings factor are in kWh x rated EER per ton of cooling or kWh*EER/Ton)

[4276.] [4277.] Cap = Capacity of connected cooling load (tons) [4278.] [4279.] Eff = Cooling equipment energy efficiency ratio (EER) [4280.] [4281.] Operating Hours = 4,438 = Approximate number of economizer operating hours

[4282.] [4283.] Duel Enthalpy Economizers

[4284.] 4738.[4285.] [4286.] Sources:[2.] DOE-2 Simulation Modeling[3.] ClimateQuest Economizer Savings Calculator

[4287.]

[4288.] Electronic Fuel-Use Economizers (Boilers, Furnaces, AC)[4289.] These devices are microprocessor-based fuel-saving controls for commercial HVAC.

They optimize energy consumption by adjusting burner or compressor run patterns to match the system’s load. They can be used to control gas or oil consumption for any type of boiler or forced air furnace system. There are also fuel use economizers available that control the electric consumption for commercial air conditioning and refrigeration units by optimizing compressor cycles to maximize energy efficiency.1

[4290.] [4291.] A recent study of Fuel-use economizer controls by the New York State Energy

Research and Development Authority (NYSERDA) in conjunction with Brookhaven National Laboratories (BNL) found that the typical energy savings for these devices generally varies between 10.08% and 19.15%, when used under normal operating conditions and normalized for typical annual degree-days in the New York metro area.2 The NYSERDA study tested at each of the different models of fuel-use economizers manufactured by Intellidyne, LLC, (under the brand name IntelliCon). Operational data was recorded for various commercial heating, cooling, and refrigeration systems (of different sizes and fuel types) with and without the IntelliCon fuel-use economizers added. The average energy savings across all system and fuel types and operational conditions was found to be 13%. Another study of IntelliCon fuel-use economizers by Consolidated Edison, Inc. (ConEd) found a similar range of savings for the devices when the devices were studied as a control option for commercial refrigeration units at supermarkets in New York City and the surrounding area.3


[4292.] [4293.] Test results in both studies showed a very good payback for the devices across all

applications studied. However, no discernable pattern was evident to determine which installations are most likely to yield the highest savings. Though actual savings will vary somewhat from project to project, it is reasonable to assume that program-wide energy savings across all approved fuel-use economizers measures will likely be close to the average savings found in the NYSERDA study. Annual energy savings for each approved fuel-use economizer installation (for any IntelliCon brand or equivalent devices) can be estimated as simply 13% of the expected annual energy usage for the HVAC (or refrigeration) system without the device.

[4294.] [4295.] Algorithms [4296.] [4297.] Installation of variable Fuel Use Economizers is a proposed measure under the

Commercial and Industrial Energy Efficient Construction. Because there is no baseline assumption included in the protocols for this measure, the savings protocol will be exactly the same as previously stated in this document.Electric

4739. Demand-Controlled Ventilation Using CO2 Sensors4740. Maintaining acceptable air quality requires standard ventilation systems designers to

determine ventilation rates based on maximum estimated occupancy levels and published CFM/occupant requirements. During low occupancy periods, this approach results in higher ventilation rates than are required to maintain acceptable levels of air quality. This excess ventilation air must be conditioned and therefore results in wasted energy.

4741. Building occupants exhale CO2, and the CO2 concentration in the air increases in proportion to the number of occupants. The CO2 concentration provides a good indicator of overall air quality. Demand control ventilation (DCV) systems monitor indoor air CO2 concentrations and use this data to automatically modulate dampers and regulate the amount of outdoor air that is supplied for ventilation. DCV is most suited for facilities where occupancy levels are known to fluctuate considerably.

4742. The magnitude of energy savings associated with DCV is a function of the type of facility, hours of operation, occupancy schedule, ambient air conditions, space temperature set points, and the heating and cooling system efficiencies. Typical values representing this factors were used to derive deemed savings factors per CFM of the design ventilation rate for various space types. These deemed savings factors are utilized in the following algorithms to predict site specific savings.

4743. Algorithms 4744. 4745. Energy Savings (kWh/yr) = CESF x CFM) = (AEU * 0.13)

4746.[4298.] Peak Demand[4299.] Fuel Savings (kW) = CDSF x CFM


4747. Savings Factor (MMBtu) = HSF X CFM(AFU * 0.13)[4300.]

4748.[4301.] Definition of Variables [4302.] AEU = Annual Electric Usage for an uncontrolled AC or refrigeration unit

(kWh) [4303.]

[4304.] AFU = Annual Fuel Usage for an uncontrolled (gas, oil, propane) HVAC unit (MMBtu or gallons)

[4305.] [4306.] SourcesCESF = Cooling:[4307.]

[4308.] (1) Some examples of the different types of fuel-use economizer controls available on the market can be found at: http://www.intellidynellc.com/02_prods.htm

[4309.] [4310.] (2) NYSERDA (2007) “A Technology Demonstration and Validation Project for Intellidyne

Energy Saving Controls”.[4311.]

[4312.] (3) ConEd Solutions (2000) “Report on Intellidyne Unit Installation at Six Key Food Supermarkets”.

[4313.] Low Flow Devices[4314.] Low flow showerheads, faucet aerators and pre-rinse spray valves save water heating

energy by reducing the total flow rate from water sources.[4315.]

[4316.] The measurement of energy savings associated with low flow devices is based on algorithms with key variables provided through Fisher-Nickel’s Life Cycle cost calculators.

[4317.] [4318.] Algorithms [4319.] [4320.] Savings Factor (kWh/CFM) = N x (60 x H x D x (Fbase – Feff) x 8.33 x DT x (1/Eff)/

C4749.[4321.] [4322.] Definition of Variables [4323.] [4324.] 60 = Conversion from hours to minutes[4325.] [4326.] N = Number of fixtures[4327.] [4328.] H = Hours per day of device usage [4329.]


http://www.intellidynellc.com/02_prods.htm

[4330.] D = Days per year of CDSF = Cooling Demand Savings Factor (kW/CFM)4750. HSF = Heating Savings Factor (MMBtu/CFM) 4751. CFMfacility operation [4331.] [4332.] Fbase = Baseline Design Ventilation Rate of Controlled Space (CFMdevice flow rate

(gal/m)

4752.[4333.] [4334.] Feff = Low flow device flow rate (gal/m) [4335.] [4336.] 8.33 = Heat content of water (Btu/gal/°F )[4337.] [4338.] DT = Difference in temperature (°F) between cold intake and output [4339.] [4340.] Eff = Percent efficiency of water heating equipment [4341.] 4753.[4342.] Summary of Inputs 4754. 4755. C = Conversion factor from Btu to Therms or kWh (100,000 for gas water heating

(Therms), 3,413 for electric water heating (kWh))[4343.]

[4344.] Low Flow Devices[4345.]

[4346.] Demand Controlled Ventilation Using CO2

SensorsComponentCompo

nent

4756.[4347.] Typ

e

4757.[4348.] Value 4758.[4349.] Source

[4350.] N [4351.] Vari

able


[4354.] CESFH 4759.[4355.] Fixe

d

[4356.] 0.0484 MMBtu/CFMSee Table 23 for pre-rinse spray valves

4760.[4357.] 1

[4358.] CDSFH 4761.[4359.] Fixe

d

[4360.] 20 minutes for showerheads

[4361.] 30 minutes for aerators

[4362.] 1 2

[4363.] D [4364.] Vari

a

[4365.] [4366.] Applicat ion


[4346.] Demand Controlled Ventilation Using CO2

SensorsComponentCompo

nent

4756.[4347.] Typ

e

4757.[4348.] Value 4758.[4349.] Source

ble

[4367.] Fbase [4368.] Vari

able

[4369.] [4370.] Applicat ion

[4371.] Feff [4372.] Vari

able

[4373.] Max of 1.0 gpm for lavatory aerators, 2.2 for kitchen aerators and 2.0

gpm for showerheads per EPA’s Water Sense Label

[4374.] Applicat ion

[4375.] HSFDT 4762.[4376.] Fixe

d

[4377.] 50°F for showerheads and faucet aerators, 70°F for pre-rinse spray valves

4763.[4378.] 1

[4379.] CFMEff 4764.[4380.] Vari

able

[4381.] default of 80% for gas water heaters and 95% for

electric water heaters


4766.[4383.] 4767.[4384.] Savings for Demand-Controlled Ventilation Using CO2 Sensors

4768. Component

4769. CESF

4770. CDSF

4771. HSF

4772. Assembly 4773. 2.720 4774. 0.0014

4775. 0.074

4776. Auditorium – Community

Center4777. 1.500 4778. 0.001

54779. 0.04

3

4780. Gymnasium 4781. 2.558 4782. 0.001

34783. 0.06

94784. Office

Building 4785. 2.544 4786. 0.0013

4787. 0.068


4768. Component

4769. CESF

4770. CDSF

4771. HSF

4788. Elementary School 4789. 1.079 4790. 0.001

34791. 0.02

94792. High

School 4793. 2.529 4794. 0.0015

4795. 0.072

4796. Shopping Center 4797. 1.934 4798. 0.001

24799. 0.05

0

4800. Other 4801. 2.544 4802. 0.0013

4803. 0.068

4804. 4805. Sources :

1. ERS spreadsheet derivation of deemed savings values for demand control ventilation. DCV Deemed savings Analysis. Based on DOE-2 default space occupancy profiles and initially developed for NYSERDA in 2010, revised to reflect typical New Jersey weather data.

4806. Low Flow Faucet Aerators, Showerheads, and Pre-rinse Spray Valves

4807. The following algorithm details savings for low-flow showerheads and faucet aerators. These devices save water heating energy by reducing the total flow rate from hot water sources.

4808. The measurement of energy savings associated with these low-flow devices is based on algorithms with key variables obtained from analysis by the Federal Energy Management Program (FEMP), published data from the Environmental Protection Agency water conservations studies, and customer information provided on the application form. The energy values are in Btu for natural gas fired water heaters or kWh for electric water heaters.

4809. Low Flow Faucet Aerators and Showerheads

1. Fisher-Nickel Life Cycle cost calculator [1.] FEMP Cost Calculator located at

http://www1.eere.energy.gov/femp/technologies/eep_faucets_showerheads_calc.html[4385.] Algorithm

4810. Btu or KWh Fuel Savings/yr = N x H x D x (Fb – Fq) x (8.33 x DT / EFF )/ C4811. 4812. Definition of Variables 4813. N = Number of fixtures4814. H = Hours per day of device usage 4815. D = Days per year of device usage 4816. F b = Baseline device flow rate (gal/m) 4817. F q = Low flow device flow rate (gal/m) 4818. 8.33 = Heat content of water (Btu/gal/°F)4819. DT = Difference in temperature (°F) between cold intake and output


http://www1.eere.energy.gov/femp/technologies/eep_faucets_showerheads_calc.html

4820. EFF = Efficiency of water heating equipment 4821. C = Conversion factor from Btu to therms or kWh = (100,000 for gas water heating (Therms), 3,413 for electric water heating (kWh)


4823. Low Flow Faucet Aerators and Showerheads

4824. Component 4825. Type 4826. Value

4827. S ourc

e

4828. N 4829. Variable 4830.4831. A

pplication

4832. H 4833. Fixed

4834. Aerators4835. 30 minutes

4836. 1 4839. Shower heads

4840. 20 minutes

4842. D 4843. Fixed

4844. Aerators4845. 260 days

4846. 1 4849. Shower heads

4850. 365 days

4852. F b 4853. Fixed

4854. Aerators4855. 2.2 gpm

4856.4859. Showerhead

4860. 2.5 gpm

4862. F q 4863. Fixed

4864. Aerators4865. <=1.5 gpm (kitchen)4866. <=0.5 gpm (public

restroom)4867. <=1.5 gpm (private

restroom)

4868. 2 ,3,4

4871. Showerheads4872. <=2 gpm

4873. 4

4874. DT 4875. Fixed

4876. Aerators4877. 25°F

4878. 5

4881. Showerheads4882. 50°F

4883. 6

4884. EFF 4885. Fixed4886. 97% electric

4887. 80% natural gas4888. 7

,8

4889. Sources

1. FEMP Cost Calculator; located at: https://energy.gov/eere/femp/energy-cost-calculator-faucets-and-showerheads-0#output.


https://energy.gov/eere/femp/energy-cost-calculator-faucets-and-showerheads-0#output

https://energy.gov/eere/femp/energy-cost-calculator-faucets-and-showerheads-0#output

2. EPA WaterSense requirements for faucet aerators; available at: https://www.epa.gov/watersense/bathroom-faucets.

3. Department of Energy, Best Management Practice #7, Faucets and Showerheads; available at: https://energy.gov/eere/femp/best-management-practice-7-faucets-and-showerheads

4. EPA WaterSense requirements for showerheads; available at: https://www.epa.gov/watersense/showerheads.

5. NY, Standard Approach for Estimating Energy Savings, V4, April 2016. Calculated using Tfaucet and Tmain for Faucet – Low-flow aerator measure. Values for both Tfaucet and Tmain found on p. 177, Table 1 and p. 178, Table 2 respectively.

6. NY, Standard Approach for Estimating Energy Savings, V4, April 2016. Calculated using Tsh

and Tmain for Showerhead – Low-flow measure. Values for both Tsh and Tmain found on p. 181, Table 1 and p. 181, Table 2, respectively.

7. NY, Standard Approach for Estimating Energy Savings, V4, April 2016, p. 177, Table 1.8. ASHRAE Standards 90.1-2007. Energy Standard for Buildings Except Low Rise Residential

Buildings; available at: https://www.ashrae.org/standards-research--technology/standards--guidelines.4890.

[4386.] Demand Control Ventilation Using CO2 Sensors[4387.] Demand control ventilation (DCV) monitors indoor air CO2 content as a result of

occupancy production levels and uses this data to regulate the amount of outdoor air that is permitted for ventilation. In order to ensure adequate air quality, standard ventilation systems permit outside air based on estimated occupancy levels in CFM/occupant. However, during low occupancy hours, the space may become over ventilated due to decreased CO2 levels. This air must be conditioned and, therefore, unnecessary ventilation results in wasted energy. DCV reduces unnecessary outdoor air intake by regulating ventilation based on actual CO2 levels, saving energy. DCV is most suited for facilities where occupancy levels are known to fluctuate considerably.

[4388.]

[4389.] The measurement of energy savings associated with DCV is based on hours of operation, occupancy schedule, return air enthalpy, return air dry bulb temperature, system air flow, outside air reduction, cooling system efficiency, and other factors. As a conservative simplification of complex algorithms, DCV is assumed to save 5% of total facility HVAC load in appropriate building types based on FEMP DCV documentation.

[4390.] [4391.]

[4392.] Algorithms [4393.] 4891.[4394.] Low Flow Pre-rinse Spray Valves4892.


https://www.epa.gov/watersense/bathroom-faucets

4893. Algorithm 4894. 4895. Btu or KWh Fuel Savings/yr = N x H x D x (Fb – Fq) x (8.33 x DT / EFF) / C 4896. Electric Savings (kWh) = 0.05 * HVACE

[4395.] [4396.] Gas Savings (4897.[4397.] Definition of Variables4898. 60 = Conversion from hours to minutes4899. N = Number of fixtures4900. H = Hours per year of device usage 4901. D = Days per year of device usage4902. F b = Baseline device flow rate (gal/m) 4903. F q = Low flow device flow rate (gal/m) 4904. 8.33 = Heat content of water (Btu/gal/°F)4905. DT = Difference in temperature (°F) between cold intake and output 4906. Eff = Percent efficiency of water heating equipment 4907. C = Conversion factor from Btu to Therms) = 0.05 * HVACG

[4398.] [4399.] Definition of Variables or kWh = (100,000 for gas water heating (Therms), 3,413 for [4400.] [4401.] HVACE = Total electric water heatingHVAC consumption (kWh))) 4908.[4402.] [4403.]


4909.[4404.] Summary of Inputs 4910.

4911. Low Flow Pre-Rinse Spray Valves4912. HVACG = Total gas HVAC consumption (Therms)

[4405.] [4406.] Demand Control Ventilation Using CO2 Sensors

[4407.] [4408.] Comp

onent4913.[4409.] T

ype 4914.[4410.] Value 4915.[4411.] Source

[4412.] N HVACE

4916.[4413.] Variable 4917.[4414.]

4918.[4415.] Applica

tion4919.[4416.] H 4920. Fixed 4921. 1.06 hours 4922. 1

4923. D 4924. Fixed 4925. 344 days 4926. 1 4927. F b 4928. Fixed 4929. 1.6 gpm 4930. 2

4931. F qHVACG

4932.[4417.] Variable 4933.[4418.] <=1.28 gpm

[4419.] Application3

4934. DT 4935. Fixed 4936. 75°F 4937. 4

4938. Eff 4939. Variable

4940. 97% electric4941. 80% natural gas

4942. 5 , 6

4943. 4944. 4945. Sources

1. EPA WaterSense Specification for Commercial Pre-Rinse Spray Valves Supporting Statement, September 19, 2013, Appendix A, Page 7.

2. EPA Energy Policy Act of 2005, p. 40, Title I, Subtitle C. 3. EPA WaterSense Specification for Commercial Pre-Rinse Spray Valves, available at:

https://www.epa.gov/watersense/pre-rinse-spray-valves.4. NY, Standard Approach for Estimating Energy Savings, V4, April 2016. Calculated using

Theater and Tmain for Low-flow Pre-rinse spray valve measure. Values for both Tsh and Tmain

found on p. 184, Table 1 and p. 184, Table 2, respectively.5. NY, Standard Approach for Estimating Energy Savings, V4, April, p. 177, Table 1.6. ASHRAE Standards 90.1-2007, Energy Standard for Buildings Except Low Rise Residential

Buildings; available at: https://www.ashrae.org/standards-research--technology/standards--guidelines.

4946. Pipe Insulation

4947.[4420.] This measure applies to insulation installed on previously bare hot water distribution piping located in unconditioned spaces. Deemed savings factors were derived using the North American Insulation Manufacturers Association, 3E Plus Version 4.1 heat loss calculation tool. The savings factors represent average values for copper or steel


pipe with mineral fiber or polyolefin tube pipe insulation. Savings are a function of pipe size and insulation thickness. A table of savings factors for nominal pipe size ranging from ½ inch to 4 inches, with insulation ranging from ½ inch to 2 inches thick is provided.

4948. The savings factors are based on a fluid temperature of 180°F, and an ambient temperature of 50°F, resulting in a temperature differential of 130° F . If the actual temperature differential varies significantly from this value, the reported savings should be scaled proportionally.

4949. The default value for annual operating hours represents the average annual hours when space heating is required. For non-space heating applications, the value should be adjusted to reflect the annual hours when the hot fluid is circulated.

4950. Un-insulated hot water carrying pipes lose considerable heat to outside air due to high thermal conductivity. In order to reduce this heat loss, pipes can be covered with a layer of fiberglass insulation, which will reduce source heating demand, resulting in significant energy savings.

[4421.]

[4422.] The measurement of energy savings associated with pipe insulation is based on the length of the supply pipe, pipe diameter, relative thermal conductivity of bare and insulated piping and the temperature difference between supplied water and outside air temperature as indicated in the EPRI report referenced below. The baseline case is un-insulated copper pipe and the default proposed case is 0.5” of fiberglass insulation.

[4423.] Algorithms 4951.[4424.] 4952.[4425.] Fossil Fuel Source:4953. 4954. Fuel Savings (MMBtu/yr) = SF x L x Oper Hrs / EFF

4955. Electric Source:

4956. Energy Savings (kWh/yr) = SF x L x Oper Hrs / EFF) = (L * (HLCbase - HLCee) / C) * ΔT * 8,760

[4426.]

4957.[4427.] Definition of Variables 4958.[4428.] SF = Savings factor derived from #E Plus Version 4.1 tool, Btu/hr-ft see table

below4959. L = Length of pipe from water heating source to hot water application, (ft) 4960.[4429.] Operating Hours = hours per year fluid flows in pipe, hours 4961. EFF = Efficiency of equipment providing heat to the fluid4962. [4430.] HLCbase = Pipe heat loss coefficient by pipe diameter (baseline) (BtuH -°F-ft) [4431.] [4432.] HLCee = Pipe heat loss coefficient by pipe diameter (proposed) (BtuH -°F-ft)


[4433.] C = Conversion factor from Btu to kWh = or Therms (3,413 for electric water heating (kWh (Electric Water Heating), 100,000 for Therms (Gas Water Heating)

4963.[4434.] Summary of Inputs 4964. 4965. ΔT = Average temperature difference between supplied water and outside air

temperature (°F)[4435.] [4436.] 8,760 = Hours per year

[4437.] Pipe Insulation4966.[4438.]

[4439.] Component

4967.[4440.] Typ

e

4968.[4441.] Value 4969.[4442.] Source

[4443.] SFL [4444.] Vari

ableFixed

4970. See Table Below [4445.] Application1

4971. L HLCbase

[4446.] Vari

ableFixed

[4447.] See Table Below 4972.[4448.] Application

4973. Oper HrsHLCee

4974.[4449.] Fixe

d

[4450.] See Table Below4,282 hrs/year (default value reflects average heating

season hours)

4975. 2

4976. EFFΔT

[4451.] Fixe

dVar

4977.[4452.] 97% electric4978. 80% natural gas

Default is 65°F

[4453.] 3, 4EPRI Study


[4439.] Component

4967.[4440.] Typ

e

4968.[4441.] Value 4969.[4442.] Source

iable

4979.[4454.]

4980.[4455.] Deemed Savings Values

4981.

Nominal Pipe Size,

Inches0.5"

Insulation1.0"

Insulation1.5"

Insulation2.0"

Insulation0.50 47 53 56 57 0.75 58 64 68 70 1.00 72 82 85 87 1.25 89 100 107 108 1.50 100 115 120 125 2.00 128 143 148 153 2.50 153 171 182 185 3.00 195 221 230 236 3.50 224 241 248 253 4.00 232 263 274 281

Savings, Btu/hr-ft

4982. Pipe Heat Loss Coefficient Table

[4456.] [4457.] [4458.] Sources :

1. North American Insulation Manufacturers Association, 3E Plus, Version 4.1, heat loss calculation tool, August 2012.

2. NOAA, Typical Meteorological Year (TMY3) weather data – Newark, Trenton, and Atlantic City averaged.


3. ASHRAE Standards 90.1-2007. Energy Standard for Buildings Except Low Rise Residential Buildings; available at: https://www.ashrae.org/standards-research--technology/standards--guidelines.

4. NY, Standard Approach for Estimating Energy Savings, V4, April 2016, p. 177, Table 1. Derived from DOE2.2 simulations reflecting a range of building types and climate zones.4983. Engineering Methods for Estimating the Impacts of Demand-Side Management

Programs, Volume 2, EPRI, 1993[4459.] [4460.]

[4461.] Lighting and Lighting Controls

4984.[4462.] For lighting and lighting control projects performed by Direct Install programs, use the C&I prescriptive lighting tables for the lighting types identified within those tables. For any fixtures not listed on the table, go to the source table for that fixture. If the fixture is not on the source table, then use manufacture cut sheets for replacement kW to calculate the savings.

4985. Eligible measures include:

4986. 4987. Prescriptive Lighting 4988. T84989. T54990. CFL Screw-In4991. LED Screw-In4992. LED Linear Tubes4993. LED Hard-Wired Fixtures4994. 4995. Lighting Controls 4996. Occupancy Sensors4997. High-Bay Occupancy Sensors4998. Photocell with Dimmable Ballast


4999.[4463.] C&I Large Energy Users Incentive Program [4464.] The purpose of the program is to foster self-investment in energy-efficiency, and

combined heat and power projects while providing necessary financial support to large commercial and industrial utility customers in New Jersey.

Protocols[4465.] Please refer to the Pay for Performance Existing Buildings protocols to calculate

demand and energy savings for the Large Energy Users Program. If a project addresses a specific end-use technology, protocols for that technology should be used.

5000.[4466.] C&I Customer-Tailored Energy Efficiency Pilot Program

[4467.] The purpose of the program is to better serve the needs of specific commercial and industrial customers whose usage is too large for them to qualify for the Direct Install program, but too low for the Large Energy Users Program.

Protocols[4468.] Please refer to the Pay for Performance Existing Buildings protocols to calculate

demand and energy savings for comprehensive projects in the Customer Tailored Pilotthe Large Energy Users Program. If a project addresses a specific end-use technology, protocols for that technology should be used.

5001.[4469.] 5002.[4470.]

5003.[4471.] 5004.[4472.]


5005.[4473.] Renewable Energy Program Protocols

5006.[4474.] SREC Registration Program (SRP)5007.[4475.] The energy and demand impacts for customer sited solar PV generation systems

participating in the program are based on fixed assumptions which are applied to the total project system capacity. The annual electricity generation is derived by multiplying the estimated annual production factor of 1,200 kWh per kW by the total system capacity (kW) to yield the estimated annual output (kWh).48 The combined values for all projects participating in a specified period are then summed up and converted to MWh for reporting purposes.

5008.[4476.]

[4477.] Renewable Non-SRP

[4478.] Renewable Electric Storage [4479.] [4480.] The impact of Renewable Electric Storage, if any on net renewable energy generation

will be analyzed over the coming year based upon quarterly performance reporting that is required of participants in this program.

48 Estimated annual production factor is based on combined average calculation of the PV Watts estimated annual output for the Newark and Atlantic City weather stations.


[4481.] Appendix A Measure Lives

5009.[4482.] 5010.[4483.] NEW JERSEY STATEWIDE ENERGY-EFFICIENCY

PROGRAMS5011.[4484.] Measure Lives Used in Cost-Effectiveness

Screening[4485.] Updated October 2017April 2012

5012.[4486.] If actual measure lives are available through nameplate information or other manufacturing specifications with proper documentation, those measure lives should be utilized to calculate lifetime savings. In the absence of the actual measure life, Protocol measure lives listed below should be utilized49.

5013.[4487.] 5014.[4488.] Measure 5015.[4489.] Measure Life

5016.[4490.] Residential Sector5017.[4491.] Lighting End Use 5018.[4492.] 5019.[4493.] CFL 5020.[4494.] 75021.[4495.] LED 5022.[4496.] 165023.[4497.] HVAC End Use 5024.[4498.] 5025.[4499.] Central Air Conditioner (CAC) 5026.[4500.] 155027.[4501.] CAC QIV 5028.[4502.] 155029.[4503.] Air Source Heat Pump (ASHP) 5030.[4504.] 155031.[4505.] Mini-Split (AC or HP) 5032.[4506.] 175033.[4507.] Ground Source Heat Pumps (GSHP) 5034.[4508.] 205035.[4509.] Furnace High Efficiency Fan 5036.[4510.] 185037.[4511.] Heat Pump Hot Water (HPHW) 5038.[4512.] 115039.[4513.] Furnaces 5040.[4514.] 185041.[4515.] Boilers 5042.[4516.] 205043.[4517.] Combination Boilers 5044.[4518.] 195045.[4519.] Boiler Reset Controls 5046.[4520.] 165047.[4521.] Heating and Cooling Equipment Maintenance

Repair/Replacement 5048.[4522.] 75049.[4523.] Thermostat Replacement 5050.[4524.] 55051.[4525.] Hot Water End-Use 5052.[4526.] 5053.[4527.] Storage Water Heaters 5054.[4528.] 135055.[4529.] Instantaneous Water Heaters 5056.[4530.] 205057.[4531.] Building Shell End-Use 5058.[4532.] 5059.[4533.] Air Sealing 5060.[4534.] 155061.[4535.] Duct Sealing and Repair 5062.[4536.] 155063.[4537.] Insulation Upgrades 5064.[4538.] 20

5065.[4539.]

49 ERS Memo, Comparative Measure Life Study and Summary of Measure Changes to NJCEP Protocols, September 5, 2017. Updated October 16911, 2017.


5066.[4540.] Appliances/Electronics End-Use 5067.[4541.] 5068.[4542.] ES Refrigerator 5069.[4543.] 125070.[4544.] ES Freezer 5071.[4545.] 115072.[4546.] ES Dishwasher 5073.[4547.] 105074.[4548.] ES Clothes washer 5075.[4549.] 115076.[4550.] ES RAC 5077.[4551.] 105078.[4552.] ES Air Purifier 5079.[4553.] 95080.[4554.] ES Set Top Box 5081.[4555.] 45082.[4556.] ES Sound Bar 5083.[4557.] 105084.[4558.] Advanced Power Strips 5085.[4559.] 45086.[4560.] ES Clothes Dryer 5087.[4561.] 125088.[4562.] Refrigerator/Freezer Retirement 5089.[4563.] 8

5090.[4564.] Commercial Sector5091.[4565.] Lighting End Use 5092.[4566.] 5093.[4567.] Performance Lighting 5094.[4568.] 155095.[4569.] Prescriptive Lighting 5096.[4570.] 155097.[4571.] Refrigerated Case LED Lights 5098.[4572.] 95099.[4573.] Specialty LED Fixtures (Signage) 5100.[4574.] 155101.[4575.] Lighting Controls 5102.[4576.] 95103.[4577.] HVAC End Use 5104.[4578.] 5105.[4579.] Electronically Commutated Motors for

Refrigeration 5106.[4580.] 155107.[4581.] Electric HVAC Systems 5108.[4582.] 155109.[4583.] Fuel Use Economizers 5110.[4584.] 155111.[4585.] Dual Enthalpy Economizers 5112.[4586.] 105113.[4587.] Occupancy Controlled Thermostats 5114.[4588.] 135115.[4589.] Electric Chillers 5116.[4590.] 225117.[4591.] Gas Chillers 5118.[4592.] 255119.[4593.] Gas Fired Desiccants 5120.[4594.] NA5121.[4595.] Prescriptive Boilers 5122.[4596.] 225123.[4597.] Prescriptive Furnaces 5124.[4598.] 205125.[4599.] Commercial Small Motors (1-10 HP) 5126.[4600.] 205127.[4601.] Commercial Small Motors (11-75 HP) 5128.[4602.] 205129.[4603.] Commercial Small Motors (76-200 HP) 5130.[4604.] 205131.[4605.] Small Commercial Gas Boiler 5132.[4606.] 205133.[4607.] Infrared Heaters 5134.[4608.] 175135.[4609.] Electronic Fuel Use Economizers 5136.[4610.] 155137.[4611.] Programmable Thermostats 5138.[4612.] 125139.[4613.] Demand-Controlled Ventilation Using CO2

Sensors 5140.[4614.] 105141.[4615.] Boiler Reset Controls 5142.[4616.] 165143.[4617.] VFDs End Use 5144.[4618.] 5145.[4619.] Variable Frequency Drives 5146.[4620.] 155147.[4621.] New and Retrofit Kitchen Hoods with Variable

Frequency Drives 5148.[4622.] 155149.[4623.] Refrigeration End Use 5150.[4624.] 5151.[4625.] Energy Efficient Glass Doors on Vertical Open

Refrigerated Cases 5152.[4626.] 125153.[4627.] Aluminum Night Covers 5154.[4628.] 65155.[4629.] Walk-in Cooler/Freezer Evaporator Fan Control 5156.[4630.] 13


5157.[4631.] Cooler and Freezer Door Heater Control 5158.[4632.] 125159.[4633.] Electric Defrost Control 5160.[4634.] 105161.[4635.] Novelty Cooler Shutoff 5162.[4636.] 85163.[4637.] Vending Machine Controls 5164.[4638.] 55165.[4639.] Food Service Equipment End-Use 5166.[4640.] 5167.[4641.] Electric and Gas Combination Oven/Steamer 5168.[4642.] 125169.[4643.] Electric and Gas Convection Ovens, Gas

Conveyor and Rack Ovens, Steamers, Fryers, and Griddles

5170.[4644.] 12

5171.[4645.] Insulated Food Holding Cabinets 5172.[4646.] 125173.[4647.] Commercial Dishwashers 5174.[4648.] 155175.[4649.] Commercial Refrigerators and Freezers 5176.[4650.] 125177.[4651.] Commercial Ice Machines 5178.[4652.] 95179.[4653.] Hot Water End-Use 5180.[4654.] 5181.[4655.] Gas Booster Water Heaters 5182.[4656.] NA5183.[4657.] Tank Style (Storage) Water Heaters 5184.[4658.] 145185.[4659.] Instantaneous Gas Water Heaters 5186.[4660.] 205187.[4661.] Low Flow Faucet Aerators and Showerheads 5188.[4662.] 95189.[4663.] Low Flow Pre-rinse Spray Valves 5190.[4664.] 55191.[4665.] Pipe Insulation 5192.[4666.] 135193.[4667.] Combined Heat & Power Program 5194.[4668.] 5195.[4669.] Fuel Cell 5196.[4670.] 55197.[4671.] Combustion Gas Turbine 5198.[4672.] 175199.[4673.] IC Small <= 200 KW* 5200.[4674.] 175201.[4675.] IC Large > 200 KW* 5202.[4676.] 205203.[4677.] Micro Turbine 5204.[4678.] 155205.[4679.] Steam Turbine 5206.[4680.] 25

5207.[4681.] *Size of individual prime-mover, not the overall system. For example, a project with three 75kW internal combustion engines should be assigned a 17-year measure life for small systems.5208.[4682.]

[4683.] PROGRAM/Measure

[4684.] Measure Life

[4685.] Residential Programs [4686.] [4687.] Energy Star Appliances [4688.]

[4689.] ES Refrigerator post 2001 [4690.] 12

[4691.] ES Refrigerator 2001 [4692.] 12

[4693.] ES Freezer [4694.] 11

[4695.] ES Dishwasher [4696.] 10

[4697.] ES Clothes washer [4698.] 11

[4699.] ES Dehumidifier [4700.] 11

[4701.] ES RAC [4702.] 10

[4703.] ES Air Purifier [4704.] 9

[4705.] ES Set Top Box [4706.] 4

[4707.] ES Sound Bar [4708.] 10

[4709.] Advanced Power Strips [4710.] 4


[4711.] ES Clothes Dryer [4712.] 12

[4713.] Energy Star Lighting [4714.]

[4715.] CFL [4716.] 5

[4717.] LED [4718.] 15

[4719.] Energy Star Windows [4720.] 20

[4721.] WIN-heat pump [4722.] 20

[4723.] WIN-gas heat/CAC [4724.] 20

[4725.] WIN-gas No CAC [4726.] 20

[4727.] WIN-oil heat/CAC [4728.] 20

[4729.] WIN-oil No CAC [4730.] 20

[4731.] Win-elec No AC [4732.] 20

[4733.] Win-elec AC [4734.] 20

[4735.] Refrigerator/Freezer Retirement [4736.]

[4737.] Refrigerator/Freezer retirement [4738.] 8

[4739.] Residential New Construction [4740.]

[4741.] SF gas w/CAC [4742.] 20

[4743.] SF gas w/o CAC [4744.] 20

[4745.] SF oil w/CAC [4746.] 20

[4747.] SF all electric [4748.] 20

[4749.] TH gas w/CAC [4750.] 20

[4751.] TH gas w/o CAC [4752.] 20

[4753.] TH oil w/CAC [4754.] 20

[4755.] TH all electric [4756.] 20

[4757.] MF gas w/AC [4758.] 20

[4759.] MF gas w/o AC [4760.] 20

[4761.] MF oil w/CAC [4762.] 20

[4763.] MF all electric [4764.] 20

[4765.] ES Clothes washer [4766.] 20

[4767.] Recessed Can Fluor Fixture [4768.] 20

[4769.] Fixtures Other [4770.] 20

[4771.] Efficient Ventilation Fans w/Timer [4772.] 10

5209.[4773.] 5210.[4774.]



[4777.] Residential Programs [4778.] [4779.] Residential Electric HVAC [4780.]

[4781.] CAC 13 [4782.] 15

[4783.] CAC 14 [4784.] 15

[4785.] ASHP 13 [4786.] 15

[4787.] ASHP 14 [4788.] 15

[4789.] CAC proper sizing/install [4790.] 15


[4791.] CAC QIV [4792.] 15

[4793.] CAC Maintenance [4794.] 7

[4795.] CAC duct sealing [4796.] 15

[4797.] ASHP proper sizing/install [4798.] 15

[4799.] E-Star T-stat (CAC) [4800.] 15

[4801.] E-star T-stat (HP) [4802.] 15

[4803.] GSHP [4804.] 30

[4805.] CAC 15 [4806.] 15

[4807.] ASHP 15 [4808.] 15

[4809.] Residential Gas HVAC [4810.]

[4811.] High Efficiency Furnace [4812.] 20

[4813.] High Efficiency Boiler [4814.] 20

[4815.] High Efficiency Gas DHW [4816.] 10

[4817.] E-Star T-stat [4818.] 15

[4819.] Boiler Reset Controls [4820.] 7

[4821.] Low-Income Program [4822.]

[4823.] Air sealing electric heat [4824.] 30

[4825.] Duct Leak Fossil Heat & CAC [4826.] 15

[4827.] typical fossil fuel heat [4828.] 17

[4829.] typical electric DHW pkg [4830.] 10

[4831.] typical fossil fuel DHW pkg [4832.] 10

[4833.] screw-in CFLs [4834.] 6.4

[4835.] high-performance fixtures [4836.] 20

[4837.] fluorescent torchieres [4838.] 10

[4839.] TF 14 [4840.] 20

[4841.] TF 16 [4842.] 20

[4843.] TF 18 [4844.] 20

[4845.] SS 20 [4846.] 20

[4847.] TF 21 [4848.] 20

[4849.] SS 22 [4850.] 20

[4851.] TF 25 [4852.] 20

[4853.] audit fees [4854.] 20

[4855.] Attic Insulation- ESH [4856.] 30

[4857.] Duct Leak - ESH [4858.] 15

[4859.] T-Stat- ESH [4860.] 5

[4861.] HP charge air flow [4862.] 8

[4863.] electric arrears reduction [4864.] 1

[4865.] gas arrears reduction [4866.] 1

[4867.] Home Performance with ENERGY STAR [4868.]

[4869.] Blue Line Innovations – PowerCost MonitorTM [4870.] 5

[4871.]

[4872.] PROGRAM/Measure[4873.] M

easur


e Life[4874.] Non-Residential Programs [4875.] [4876.] C&I Construction [4877.]

[4878.] Commercial Lighting — New [4879.] 15

[4880.] Commercial Lighting — Remodel/Replacement [4881.] 15

[4882.] Commercial Lighting Controls — Remodel/Replacement [4883.] 18

[4884.] Commercial Custom — New [4885.] 18

[4886.] Commercial Chiller Optimization [4887.] 18

[4888.] Commercial Unitary HVAC — New - Tier 1 [4889.] 15

[4890.] Commercial Unitary HVAC — Replacement - Tier 1 [4891.] 15

[4892.] Commercial Unitary HVAC — New - Tier 2 [4893.] 15

[4894.] Commercial Unitary HVAC — Replacement Tier 2 [4895.] 15

[4896.] Commercial Chillers — New [4897.] 25

[4898.] Commercial Chillers — Replacement [4899.] 25

[4900.] Commercial Small Motors (1-10 HP) — New or Replacement [4901.] 20[4902.] Commercial Medium Motors (11-75 HP) — New or

Replacement [4903.] 20[4904.] Commercial Large Motors (76-200 HP) — New or

Replacement [4905.] 20

[4906.] Commercial VSDs — New [4907.] 15

[4908.] Commercial VSDs — Retrofit [4909.] 15

[4910.] Commercial Air Handlers Units [4911.] 20

[4912.] Commercial Heat Exchangers [4913.] 24

[4914.] Commercial Burner Replacement [4915.] 20

[4916.] Commercial Boilers [4917.] 25

[4918.] Commercial Controls (electric/electronic) [4919.] 15

[4920.] Commercial Controls (Pneumatic) [4921.] 10

[4922.] Commercial Comprehensive New Construction Design [4923.] 18

[4924.] Commercial Custom — Replacement [4925.] 18

[4926.] Industrial Lighting — New [4927.] 15

[4928.] Industrial Lighting — Remodel/Replacement [4929.] 15

[4930.] Industrial Unitary HVAC — New - Tier 1 [4931.] 15

[4932.] Industrial Unitary HVAC — Replacement - Tier 1 [4933.] 15

[4934.] Industrial Unitary HVAC — New - Tier 2 [4935.] 15

[4936.] Industrial Unitary HVAC — Replacement Tier 2 [4937.] 15

[4938.] Industrial Chillers — New [4939.] 25

[4940.] Industrial Chillers — Replacement [4941.] 25

[4942.] Industrial Small Motors (1-10 HP) — New or Replacement [4943.] 20[4944.] Industrial Medium Motors (11-75 HP) — New or

Replacement [4945.] 20

[4946.] Industrial Large Motors (76-200 HP) — New or Replacement [4947.] 20

[4948.] Industrial VSDs — New [4949.] 15

[4950.] Industrial VSDs — Retrofit [4951.] 15

[4952.] Industrial Custom — Non-Process [4953.] 18

[4954.] Industrial Custom — Process [4955.] 10


[4956.] Industrial Air Handler Units [4957.] 20

[4958.] Industrial Heat Exchangers [4959.] 20

[4960.] Industrial Burner Replacements [4961.] 20

[4962.] Small Commercial Gas Furnace — New or Replacement [4963.] 20

[4964.] Infrared Heating [4965.] 17

[4966.] Small Commercial Gas Boiler — New or Replacement [4967.] 20

[4968.] Small Commercial Gas DHW — New or Replacement [4969.] 10

[4970.] C&I Gas Absorption Chiller — New or Replacement [4971.] 25[4972.] C&I Gas Custom — New or Replacement (Engine Driven

Chiller) [4973.] 25[4974.] C&I Gas Custom — New or Replacement (Gas Efficiency

Measures) [4975.] 18

[4976.]



[4979.] Non-Residential Programs [4980.] [4981.] Building O&M [4982.]

[4983.] O&M savings [4984.] 3

[4985.] Compressed Air [4986.]

[4987.] Compressed Air (GWh participant) [4988.] 8

[4989.] Refrigeration [4990.]

[4991.] Evaporator Fan Control [4992.] 10

[4993.] Cooler and Freezer Door Heater Control [4994.] 10

[4995.] Polyethylene Strip Curtains [4996.] 4

[4997.] Food Service [4998.]

[4999.] Fryers [5000.] 12

[5001.] Steamers [5002.] 10

[5003.] Griddles [5004.] 12

[5005.] Ovens [5006.] 12

[5007.]



[5010.] Solar Panels [5011.] 25[5012.] CHP System ≤1 MW [5013.] 15[5014.] CHP System >1 MW [5015.] 20[5016.] Fuel Cells [5017.] 20

[5018.] [5019.] * For custom applications, projects will be evaluated upon industry/manufacturer

data but not to exceed value in above table unless authorized by the Market Manager. Reported savings will be calculated per measure life indicated in this table.

5211.[5020.]


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