energy efficiency and demand response: separate efforts or two ends of a continuum? a presentation...
TRANSCRIPT
Energy Efficiencyand
Demand Response:
Separate Efforts or Two Ends of a Continuum?
A Presentation to: Association of Edison Illuminating Companies
Reno, NevadaSeptember 12, 2006
Susie E. Sides, San Diego Gas & ElectricCraig Williamson, Energy Insights
September 12, 20062
What are we talking about?
Energy Efficiency
Demand Response
Peak Load Management
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What are they?
Energy Efficiency•Permanent load reduction•many hours•no reduction or shift in customer value, comfort, or output
Demand Response (critical peak management•Temporary load reduction•Very few hours•May involve a reduction in customer value, comfort, or output.
Peak Load Management•peak shift or reduction on many days•change in customer load profile•shift or transfer of customer value or output
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The problem with the separate view Regulatory context and pricing
Different proceedings for EE and DR Funding is applied discretely to customer programs Savings targets may compete Appropriate price signals must support customer
investment Utility Implementation
A silo effect of efforts at the utility Determining program value can be difficult - Customers
respond with a mix of strategies across the continuum Customer perspective
Confusion from multiple messages and programs “If I do one program, I can’t contribute to the other” “I already did my part with that other program”
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How can integration be applied?
Energy Efficiency
Peak Load Management
Demand Response
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It’s a continuum
Energy Efficiency Demand Response
Peak Load Management
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Why a Continuum?
CUSTOMER
SYSTEMSOCIETY
SWEET SPOT
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Whole can be greater than the sum of the parts Diversity of benefits
Don’t penalize a program or a customer for providing multiple benefits
Awareness and benefits increase with participation in multiple programs
California SPP, considered primarily demand response, EE: Conservation effect (daily reduction) of 3.24% PLM: Non-critical peak day reduction of 4.25% during peak
periods with an increase of 1.80% during off-peak periods DR: Critical peak day peak period reduction of 11.96%
Pricing impacts results across the continuum Interrelationship of effects can change over time
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An hypothetical example of the interaction
Scenario 1: Residential Customer
Customer is billed on a TOU rate tariff with CPP option
Differential between daily on-peak charges and non-peak charges
Larger differential between non-critical and critical peak days
Customer is new to the program Receives communicating thermostat from utility Starting out, customer doesn’t take time to learn to
program it
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Example – first year – only DR impact
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
0 2 4 6 8 10 12 14 16 18 20 22 24
Hour of Day
kW D
eman
d (
div
ersi
fied
)
Baseline
With Control
Begin Event
End event
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DR Savings
-0.1
0
0.1
0.2
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Hour
kW S
avin
gs
Initial DR
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Over time, the customer learnsFirst, the customer learns to program the thermostat,
adjusting it on all weekdays. This adds a PLM effect May reduce DR effect a bit (setting increase from higher set
point)
After a year, because of the program, the customer decides to replace their 15-year-old Central AC unit with a new high-efficiency unit
Customer saves much more across all hours that the AC is on
Customer reduces load more during critical peak hours, compared with original baseline – but most of that is really EE. Actual load reduction during critical peak is less
Second Year: Less DR, much more EE
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Example – ultimate savings – all types
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
0 2 4 6 8 10 12 14 16 18 20 22 24
Hour of Day
kW D
eman
d (
div
ersi
fied
)
Original Baseline
New CAC
With programming
New Event Day
Begin event
End event
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Savings – second year
Note: Some of EE could be considered PLM
-0.1
0
0.1
0.2
0.3
0.4
0.5
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Hour
kW S
avin
gs
New DR
PLM
EE
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A balancing act
Energy Efficiency
Demand response
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Effects in this example
Customer invests in EE, Peak Load and DR technologies, all in response to a DR program
EE: High-efficiency air conditioner Reduces overall energy consumption (kWh) when operating
PLM: Programmable thermostat Adjusts temperature during on-peak periods
DR: Communications device within the thermostat Controlled by utility during critical peak events
Trying to measure separate impacts can also be a challenge, because of the interaction
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DR customers will do EE and PLM
Percentage of online customers
Totals add up to more than 100% because respondents could check all that apply
Source: Energy Insights Customer Strategies 2006 Residential Market Survey
70%
64%
32%29%
26%23%
15%
0%
10%
20%
30%
40%
50%
60%
70%
80%
Turned offlights
Changedthermostat
setting
Weatherizedhome
Unpluggedappliances
Purchasedefficient
appiances
Lowered temp.on hot water
heater
Stopped usingcertain
appliances
Customer actions taken in an effort to use less energy
86% of online customers reported taking at least one of these actions in the last year in an effort to use less energy
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So…Why Should We Care?
Benefits can be significantly increased through integration Long-term energy (kWh) savings through Energy Efficiency Long-term system (kWh/kW) savings through Peak Load
Management Long-term capacity (kW) savings through Demand Response
Customer benefits are realized sooner Incremental investments results in larger savings
Utility cost savings Save on program costs, number of interactions Long-term capital investment savings
Increase customer satisfaction Decrease customer annoyance Provide comprehensive solution
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Not everyone is in the same regulatory environment
Utility profitability can be an issue Under traditional regulation, DR has more
appeal, since it does not result in much revenue erosion.
But if DR programs result in EE, that can hurt profitability (especially under rate freezes)
Careful incentive regulation and rate base rules help
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What impact does this have on load researchers?
Measuring impacts with interactions and cross-effects can be a real challenge Working with the right baseline is critical Consider all effects when modeling impact
More generally, be an advocate for the concept of comprehensive approach, especially as you are asked to estimate impacts
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Contact information
Susie E. SidesMarket Planning & Analysis Manager
San Diego Gas & ElectricSouthern California Gas Company
[email protected](858) 654-1186
Craig WilliamsonProgram Director, Energy End Use Research
Energy [email protected]
(303) 385-0342