smart power strips in commercial office applications

B O N N E V I L L E P O W E R A D M I N I S T R A T I O N

Smart Power Strips in Commercial Office Applications

RTF

October 4, 2011


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Goal Today

To update UES estimates and move provisionally deemed smart strip measure to active status for commercial office applications•Using updated savings from BPA engineering research


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Background

RTF Provisionally deemed smart power strips in a commercial office in March 2010• 100 kWh• $20/unit• 4 year Measure Life

RTF approved Research Plan• 50 unit sample• 2 week pre/post metering• Collect information on equipment plugged in and

settings


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Smart Power Strips

Resemble traditional power strips, but have outlets with different functionalities.

Control outlet and controlled outlets• Some outlets always remain on• Others controlled by load sensed

Load Sensor •Type of smart strip being proposed today

Occupancy Sensor•Currently researching this measure


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Smart Power Strips Load Sensor

• When a control device is turned off or enters sleep mode, the Smart Power Strip cuts power to the controlled peripherals: items such as printers, heaters, speakers.

Occupancy Sensor• The occupancy sensor cuts power to the controlled

peripherals: items such as printers, heaters, speakers. Timer

• Timer controls when power is shut off to controlled peripherals


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Types of Smart Power Strips

Occupancy Sensor

Load Sensor

Timer Plug Strip


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BPA Metering Study

Details about the research activities•Load Sensor device was installed−‘Current Sensing’ Smart Power Strip

•A total of 48 smart strips installed• Installed at Ross Complex, Vancouver, WA•Approximately 3 weeks baseline and post metering time during April/May 2011

•Kill-A-Watt Meters used for data collection


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Example of Results


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Results Summary Savings details

•Sample size = 45 cubicles/offices

•Average Savings per year per cubicle = 132 KWh

−Includes removal of 4 units during research period

•Median value = 80 KWh

•80% Confidence Interval = 36.34


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Results – Frequency DistributionFrequency distribution of yearly KWh savings

0%

5%

10%

15%

20%

25%

0 50 100 150 200 250 300 350 400 450 500 500+

KWh/year Savings

% F

req

uen

cy

-50 to

Printer 1057 kwh

savings


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Results – # of Devices Plugged In

* Number of devices plugged in is in addition to computer and monitor

Average & Median KWh Savings per # of Devices plugged into Green "Switched" Outlets

1

1

22

3

3

4+

4+

Heaters

Heaters

0

50

100

150

200

250

average median

An

nu

al S

avin

gs

KW

h/D

evic

e

SampleSize=5

SampleSize=3

SampleSize=20

SampleSize=5

SampleSize=9


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Measure Cost and Measure Life

Cost – Load Sensor Device•$24.99 per unit, Non-Volume, Retail• Labor cost - $3.50 (10 Minutes per unit at $20/hour for installation)

Measure Life•4 years


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Cost Effectiveness

Measure NamekWh

SavingsMeasure

CostMeasure

LifeTRC Ratio

Commercial Office Smart Power Strip 132 $ 28.5 4 2.51


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Measure Workbook Results

Measure Classification and PropertiesMarket Sector CommercialMarket Segment ElectronicsMeasure Category Smart Power Strips

Measure Description

In commercial office spaces, installation of power strip which turns office equipment off during times outside of regular office hours. Control outlet controls other outlets which are turned off by a load sensor

Sunset Criteria 8/29/2012Primary Workbook ComPowerStrips_v4.xlsm

Linked Workbooks No External linksNumber of Measures, and UES Components 1


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Measure Workbook Results

Measure IdentifiersIdentifierCommercial Office Smart Power Strips - Load Sensor

Constant ParametersParameter

Unit Energy Savings (UES) Estimation Method, Parameters and SourcesMeasure Type UES Component Analysis approach Primary

Parameter / Adjustment Factor

Baseline Description

Efficient Case Description

Baseline Source Efficient Case Source

Commercial Office Smart Power Strips - Load

Sensorone component

Savings is determined by subtracting pre (without plug strip) and post (with plug strip) average hourly energy use from the BPA-Ross Complex Smart Strip Project and extrapolating to an annual savings value. No savings are attributed to a desktop PC or computer monitor that is plugged in because these devices are not controlled by the power strip.

average hourly power draw.

48.1 Watts 33.0 Watts

Possible Values Further Explanation and Sources

BPA-Ross Complex Smart Strip Project. 41 installations with usable data. ~ 3 weeks pre

and post data collection.

Possible Values Further Explanation and Sourcessingle identifier, single measure


More Baseline Data Considered

Idaho Design Lab Monitored 4 Office Spaces in Boise - 205 cubicles total

Metering included common area plug loads(non-cubicle)

Attempted to remove these loads using CEC PEIR study by ECOS - Result: 34 to 40 Watts/cube

Inherent error introduced trying to clean data

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Measure ChecklistGuideline Response Notes

1. Introduction and PurposeSponsor(s) BPA

Savings Estimation Method

Unit Energy Savings Yes

Priority High Provisional measure to expire September 2011

2. Measure SpecificationMeasure Identifiers Yes

Savings Baseline Yes

Implementation Standards Yes

Product Standards Yes

3. Unit Energy SavingsActive

Sunset criteria Yes 2 Years, to sunset September 2013

Plan adopted for next review

Type of Estimation Procedure Yes Statistical

Input Parameters Yes

Model Calibration Yes

UES Components Yes

Interactions between Measures Yes

Heating/Cooling Interactions No

Reliable Baseline Data ?

Reliable Efficient-case Data ?

Model Calibration - Baseline ?

Model Calibration - Efficient-Case ?

Sound Analyses Used ?

Did RTF determine savings were reliable? TBD

Did RTF committee comment on planning UES estimate? TBD

Did RTF committee comment on small saver UES estimate? TBD

Summary Sheet Completed?

Measure Classification and Properties Yes

Measure Identifiers Yes

Constant Parameters Yes

Estimation Method, Parameters and Sources Yes

Costs estimated Yes

Measure Effective Useful Life (years) Yes

ProCost analysis complete Yes

3.4 Documentation Standard

Checklist: Guidelines for the Development and Maintenance of RTF-Approved Measure Savings Estimates

3.2 Required Quality of Savings Estimate

3.1 UES Estimation Procedure

3.2.3 Standard for Reliability

3.3 Development Process


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Measure Requirements

Must be installed in commercial offices occupied a minimum of 50 hour per week

Must be at least 1 device plugged into strip, in addition to desktop/laptop/monitor•Okay to use with Network PC management as long as more than desktop/monitor plugged in


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Continued Research

Follow up with metered units periodically to check if still installed

BPA to conduct metering on additional 24 work spaces with same metering process•Study using occupancy sensor devices

IDL also researching occupancy sensor devices


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Motion for Approval

Motion to approve UES estimate to active status for smart power strips with a load sensing device in commercial office applications, with a sunset date of September 2013 (2 years)


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Extra Slides

Other baseline data


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Idaho Integrated Design Lab

Another Baseline Considered:• IDL Monitored four sites in Boise• Office occupancy• 8 am – 5 pm Monday - Friday• 34,182 Square feet (1,500 to 17,088 range )• Metered whole floor plug loads • 737 total plug loads (84 in commons areas)• 205 cubicles (5.3 average plug loads each)•


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Idaho Integrated Design Lab

• Metered data shown in average hourly kW• 45.76 calculated watts per cubicle− Watts per cubicle weighted average 24/7− Commons area plug loads included

• Using CEC data to subtract commons equipment• 40.06 average watts per cube high estimate• 34.38 average watts per cube low


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Idaho Data Adjusted with CEC Data

CEC PIER Study by ECOS• Metered select office equipment for 2 weeks• 25 offices in Sonoma and San Diego• 8 - 5 Monday – Friday Office Occupancy −Legal, accounting, tax, engineering, architectural,

computer design

• Metered (Watts Up Pro ES)− 451 discrete pieces of equipment − 50 separate types of equipment


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Idaho Data Adjusted with CEC Data

CEC PIER Study by ECOS• Meter logged power, current, voltage, and power factor - real‐time time stamps per minute

• Determined equipment states and percent time−Active, Idle, Sleep, Standby, Disconnected

• Calculated annual kWh per mode• Calculated average watt load per mode


CEC Data Questions

Annual kWh sum by totaling Ave. kWh/mode Sum of Ave. Watt/mode x % time not equal Some equip annual kWh/ 8,760 exceeds

average watts per cubicle No count of Idaho laser and inkjet to attribute

Watts according to CEC PIER data

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smart power strips in commercial office applications

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