energy analytics project
Post on 14-Jan-2017
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US Government Agency Energy
Conservation Initiative
General Service Administration (GSA)
Key PartnersWho we are:
• GSA • Mandate: 30% energy
conservation load• Increase energy
efficiency of building • Peak reduction with
battery & Demand Response with utilities
• Key partners:• Battery owners:
Government Building• Battery Operators: AF
Menza – Supplier • GSA mandate
Which key resources are we acquiring from partners:
• Energy storage capacity via battery systems
• Operations by AF Menza• Building’s electrical system & backend: DM response research
Which key activities do partners perform:
• Operate battery at maximum efficiency
• AF Menza provide battery, run business operations & battery
maintenance• Demand response plan & management with building
Load Duration Curve
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Electricity:Facility [kW](Hourly)
Electricity:Facility [kW](Hourly)
Load Curve
01/01 09:00:00 03/08 09:00:00 05/13 09:00:00 07/18 09:00:00 09/22 09:00:00 11/27 09:00:000
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Electricity:Facility [kW](Hourly)
Electricity:Facility [kW](Hourly)
Load Curve 5.30
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Load Curve 5.31
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Electricity:Facility [kW](Hourly)
Load Curve 6.22
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Electricity:Facility [kW](Hourly)
Load Curve 6.27 – 06.28
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Electricity:Facility [kW](Hourly)
Load Curve 6.30
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Electricity:Facility [kW](Hourly)
Load Curve 7.25
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Electricity:Facility [kW](Hourly)
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Electricity:Facility [kW](Hourly)
Load Curve 8.17
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Electricity:Facility [kW](Hourly)
Load Curve 9.07
05/01 03:00:00 05/19 03:00:00 06/06 03:00:00 06/24 03:00:00 07/12 03:00:00 07/30 03:00:00 08/17 03:00:000
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Electricity:Facility [kW](Hourly)
Load Curve May+June+July+August
Load Curve January
01/01 01:00:00 01/06 07:00:00 01/11 13:00:00 01/16 19:00:00 01/22 01:00:00 01/27 07:00:000
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Electricity:Facility [kW](Hourly)
Monthly Temp
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January-14 February-14 March-14 April-14 May-14 June-14 July-14 August-14 September-14
October-14 November-14 December-14
Monthly Temp vs. CDD & HDD
Av Temp HDD CDD
• Month average temperature rises
from around 30 F in January to a peak
average in mid 70s by July-August
• Heating Degree Days is maximum, around
1100 for month, in January after
trending higher from around 200 in
October• Cooling Degree Days
reaches a peak of around 400 by July
and is relatively significant in May to
September period
Monthly Temp• CDD is on RHS &
Usage in LHS• CDD picks up in June
and intensifies in July-August and back
to lows by October. Cooling usage
mirrors the pick up in CDD. Weekly
periodicity seen in Cooling usage
• Fans usage also shows a similar
increase as Cooling but there is a
minimum usage through the year
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Cooling Degree Days
Fans:Ele Cool:Ele CDD
Monthly Temp• HDD is on RHS &
Usage in LHS• Heating Degree Days
are significant in January to March at
beginning of year and pick up in
November-December at end of the year
• Consistent with HDD, Gas usage for Heat
also increases during the first quarter and
last two months of year.
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Heating Degree Days
Heat:Gas HDD
Conclusion• Government Office Building
Conclusion• Value Proposition
• Installation of Battery to shave 100kW of Peak for 4 hours.
• Demand Response to reduce cooling AC load by 30% and
increase use of fans by 30%.• Demand Response to turn
down lighting usage from 80kWh to 70kWh
• Energy Savings• 251 working days for 2014
• 100kW of Peak Shaving per day
• $0.1732 kWh cost• Total saving of $4347.32/year
Total Electric Usage 881742.4943 kWTotal Electric Saving via cooling DR -19296.60648 kWTotal Electric Saving via lighting -27108 kWNew Electric Usage 835337.8878 kWReduction % 5.262829769%
Total cost saving 4695.1056 $
Energy Savings Economics: Demand Response
• Battery - $4347.47• DR - $4695.11
• Total – $9042.58
• Battery can be made to bid into capacity market for other hours
• Battery can be entered into frequency market
Key ActivitiesWhat key activities do our value
proposition require:• Sell management and operation of
battery storage technology• Battery reduces peak
• DM response energy conservation• Efficiency and cost savings
• Manage relationships • Review data analytics
Key resources our value proposition require:
• Access to funding through government grants
Distribution channels:• Direct contact with building management to install energy
efficiency mandate
Customer relations:• Constant communication
• Explanation of DM and battery system benefits
• Knowledge sharing & Accessibility
Revenue streams:• Peak shaving via battery
• Demand response by cycling AC and lighting load
Value proposition• The General Services Administration (www.gsa.gov) delivers value
to our stakeholders (i.e. tenants and ultimately the taxpayers) via using the most cost-effective methods to design, build, and
manage the U.S. Government’s real estate portfolio. • In the last several years, we have worked with the U.S. Department
of Energy in developing SEED: Standard Energy Efficiency Data platform, which can monitor our portfolio of buildings efficiency.
• In 2009, as part of the American Recovery and Investment Act, President Obama mandated that all government buildings improve
all U.S. Government Buildings efficiency by 30% by 2015• Therefore GSA is mandated to use all logical resources possible to
grow efficiency in each of every building we manage
Our Value Proposition is a 30% savings in Energy Spend for this Building
Customer relationshipOur customer:
• Government office buildingRelationship:
• Building mgmt operating dr • Operator of battery
Relationship Management• Personal relationship with our
customers rather than a self-service• Whats problem and how to fix it
• All in this together• Human interaction relationships make customers feel more valued
• Avoid frustration & solve problems
During the sales process:• Contact with a real customer-sales
representative• Call center & e-mail.
• Survival in the long run with profitable customer
After the sale is completed:• Contact and feedback
• Focus on customer satisfaction• Execute improvements
Customer segments• Service many diff types
Military, research, it data center
• Office building customer segments • Unique specific energy demands
• Different levels of service given size• Teach customers essentials and give necessary tools.
• Building an automated service customers can choose their preferences (ex: Amazon.com).
Cost structureGOVT BUILDING BATTERY INSTALL PAYBACK ANALYSIS ASSUMPTIONS Assumption Results
SCE KWh Price $0.176 0.185 881,742 Annual KWh Usage
SCE Annual Price Escalation 5.0% 73,479 Monthly KWh Usage PV System Size in KWh 10,000 $12,932 Monthly Bill KWh Monthly Generation 833 $155,184 Annual Bill Installed Cost per KW - DC $5,030 $0.176Price per KWh KW-DC 6.20 Inverter Conversion Factor 0.94 KW-AC (CEC AC Rating) 5.83 Net Cash Outlay $15,499 System Cost $31,188 Payback Period 8 30% Federal Tax Credit ($9,357) IRR 15.5% $1.10 Watt CA Rebate ($6,333) Year 0 Cash Outflow $15,499 Installed Cost per KW - AC $5,347 CASH FLOW ENGINE Year 0 1 2 3 4 5 6 7 8 9 10Kwh 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 Degradatation Factor 1.000 1.000 0.997 0.994 0.991 0.988 0.985 0.982 0.979 0.976
kWh Produced after Degradation 10,000 10,000 9,970 9,940 9,911 9,880 9,851 9,821 9,792 9,763 Cost per Kwh $0.176 $0.185 $0.194 $0.204 $0.214 $0.225 $0.236 $0.248 $0.260 $0.273Electricity Savings $1,763 $1,851 $1,938 $2,029 $2,124 $2,223 $2,327 $2,436 $2,551 $2,670 Cost of System ($15,499) Total Annual Cash Flow ($15,499) $1,763 $1,851 $1,938 $2,029 $2,124 $2,223 $2,327 $2,436 $2,551 $2,670 Cummulative Cash Flow ($15,499) ($13,736) ($11,885) ($9,947) ($7,918) ($5,794) ($3,571) ($1,244) $1,192 $3,743 $6,413 Payback - Years 8 8 9 10
IRR 15.5% DEGRADATON MATRIX Degradation Factor 1.000 1.000 0.997 0.994 0.991 0.988 0.985 0.982 0.979 0.976 Kwh Produced 11,625 11,625 11,590 11,555 11,521 11,485 11,452 11,417 11,383 11,349 Kwh - New 11,625 11,625 11,625 11,625 11,625 11,625 11,625 11,625 11,625 11,625 Degradation per Year 0.30% 0.30% 0.29% 0.31% 0.28% 0.30% 0.29% 0.29%
Revenue stream• Our customers, other U.S. Government Agencies, have the
same motivation to reduce building energy costs, and are willing to seek commercially viable solutions
• Costs are $15,499 in year 0. Our Battery Analysis Demonstrates an 8 year payback, very acceptable to the U.S.
Govt’s more long-term oriented nature. Total annual savings is $4347
• Our demand response initiatives demonstrate a 5.3% electric usage savings, at a cost savings of $4695.
Load Duration Curve
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Electricity:Facility [kW](Hourly)
Electricity:Facility [kW](Hourly)
Electricity use across all types are significant predominantly between 8 am and 5 pm For a particular hour, say 11 am, there is a periodicity by day – i.e. there are very low usage for 2 days after every 5
days During the hours of 9 am to 5 pm there seems to be two distinct periods during the year (early June and early
September) when usage becomes higher than at other days in the year at the same time.
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Jan 1
Mar 1
May 1
Jul 1
Sep 1
Nov 1
Jan 1
Hour of Date/Time [2014]
40.0 357.9Electricity:Facility (kW)..
Heatmap I:
Electricity use for lighting also shows significant usage predominantly between 8 am and 5 pm Similar to total usage, there is a periodicity by day – i.e. there are very low usage for 2 days after every 5 days During two months (July and August) there is a significantly lower usage. However, the usage at a given hour is
same through the rest of year apart from July and August.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Jan 1
Mar 1
May 1
Jul 1
Sep 1
Nov 1
Jan 1
Hour of Date/Time [2014]
15.86 80.53
InteriorLights:Electricit..
Heatmap II:
Electricity use for equipment also shows significant usage predominantly between 8 am and 5 pm There is a periodicity by day – i.e. there are very low usage for 2 days after every 5 days During two months (July and August) there is a significantly lower usage The equipment usage starts at 8 am from mid March to October & at 9 am from November to mid March
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Jan 1
Mar 1
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Hour of Date/Time [2014]
22.03 79.09
InteriorEquipment:Elec..
Heatmap III:
Electricity use for fans suggests that there is some effort to substitute AC Usage for fan typically peaks around 3 pm in the afternoon & has the highest in
early Sep
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Jan 1
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Jan 1
Hour of Date/Time [2014]
0.00 29.00Fans:Electricity (kW)(H..
Heatmap IV:
Electricity use for cooling peaks in July – September during the year During the day usage for cooling is clustered from 12 pm to 5 pm Peak usage for cooling to fans is about 6X suggesting potential for energy savings from more fan
usage
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Jan 1
Mar 1
May 1
Jul 1
Sep 1
Nov 1
Jan 1
Hour of Date/Time [2014]
0.0 171.0Cooling:Electricity (kW..
Heatmap V:
9 405 801 119715931989238527813177357339694365476151575553594963456741713775337929832587210
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Load Curve
Electricity:Facility [kW](Hourly)
9 405 801 119715931989238527813177357339694365476151575553594963456741713775337929832587210
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Electricity:Facility [kW](Hourly)
Electricity:Facility [kW](Hourly)
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