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1
Evaluation of Energy Efficiency Programs: Adjustments to Energy Savings
Edward Vine
California Institute for Energy and Environment
Center for the Study of Energy Markets (CSEM) Policy Conference
Sacramento, CA
December 9, 2008
2
Outline of Talk
History of Energy Efficiency in California Overview of Evaluation Adjustments to Energy Savings: Net Energy
Savings Cost-Effectiveness Metrics Why do We Care about NTG & TRC? AEA’s Guiding Principles for Evaluators
3
1. History of Energy Efficiency in California
Energy efficiency is California’s highest priority resource for meeting its energy needs in a clean, reliable and low-cost manner
For more than three decades, California has adopted energy efficiency policies and made investments that are among the most aggressive in the nation
These efforts have saved more than 40,000 GWh of electricity and 12,000 MW of peak demand - avoiding the need to build 24 large (500 MW) power plants, and equal to the energy required to power 3.8 million homes
5
California vs. US Energy Efficiency
Per Capita Electricity ConsumptionkWh/person
-
2,000
4,000
6,000
8,000
10,000
12,000
14,000
196019621964196619681970 1972197419761978198019821984 19861988199019921994199619982000 20022004
California
United States
Source: California Energy Commission
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California IOU’s Investment in Energy Efficiency
Source: California Energy Commission, modified by Vine (2008)
$0
$100
$200
$300
$400
$500
$600
$700
$800
$900
$1,000
1976197819801982198419861988199019921994199619982000200220042006200820102012
Millions of $2002 per Year
Forecast
Profits decoupled from sales
Performance Incentives
Market Restructuring
Crisis
IRP2% of 2004
IOU Electric Revenues
Public Goods Charges
RRIM
EESPEnergyAction Plan
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Annual Energy Savings from EE Programs and Standards
Source: Rosenfeld, California Energy Commission
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
19
75
19
76
19
77
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99
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00
20
01
20
02
20
03
GW
h/y
ear
Appliance Standards
Building Standards
Utility Efficiency Programs at a cost of
~1% of electric bill
~15% of Annual Electricity Use in California in 2003
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Energy Action Plan
Since its enactment in 2003, the Loading Order has been integrated into the major CPUC decisions governing energy policy and procurement.
In the EAP, the Loading Order continued:
“Pursue all cost-effective energy efficiency, first.”
Energy resources are prioritized as follows:
1. Energy efficiency/demand response
2. Renewable generation, including renewable DG
3. Increased development of affordable and reliable conventional generation
4. Transmission expansion to support all of California’s energy goals
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California: The Most Aggressive Energy Efficiency Program in the Nation
Energy Efficiency goals (2004-2013) 26,506 GWh/year 5,000 MW/year 444 Million therms/year
Eliminates need for 10 new power plants
Eliminates 9 million tons of CO2 emissions
(equal to 1.8 million cars)
$10 billion in net savings to consumers
10
Current Program Cycle
2006-08 ~$2 billion in funding for 3 years
$581M in 2006, $646M in 2007, and $742 M in 2008 (excludes EM&V budget)
Annual funding from utility procurement dollars and from the Public Goods Charge
Levelized cost of 3 cents/kWh and 21 cents/therm $2.7 billion in net savings to consumers over 3 years
$163 million EM&V budget for 3 years 8% of total portfolio funding
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Shareholder Risk/ Reward Incentive Mechanism (RRIM)
Decision 07-09-043 (Sept. 20, 2007) Creates incentives to ensure that utility investors and
managers view energy efficiency as a core part of the utility’s regulated operations that can generate meaningful earnings for its shareholders
Protects ratepayers’ financing investment Ensure that program savings are real and verified
All calculations of the net benefits and kW, kWh and therm achievements are independently verified by the CPUC and their EM&V contractors, based on adopted EM&V protocols
Imposes penalties for substandard performance
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Adopted Incentive Mechanism Earnings/ Penalty Curve
Reward(% of PEB)
(per unit below CPUC goal)Penalty
65%
85% 100% % of CPUC goals
ER = 9%
ER = 12%
Earnings capped at $450 million
0%
5¢/kWh, $25/kW, 45 ¢/therm below goals, or payback of negative net benefits (cost-effectiveness guarantee), whichever is greater.
Penalty capped at $450 million.
Earnings = ER x PEB
PEB= Performance Earnings BasisER= Earnings Rate (or Shared- Savings Rate)
13
Earnings Claim & Recovery Process
Two interim claims during each 3-year program cycle
Progress payments towards total expected earnings
One final true-up claim after the program cycle is completed
Hold back: 30% of the expected earnings in each interim claim to provide a margin for error in expected earnings
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Scope of Strategic Plan
Includes everything the two state energy agencies (CPUC and CEC) are currently working on, and more
Incorporates: Market transformation Voluntary market actions – to become “Business as
Usual in California Collaboration -- Roles for Local Governments, other
State Agencies and Private Sector Players
4 Big Bold EE strategies as cornerstones of initial bold energy-savings/outcomes
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• All new commercial construction in California will be zero net energy by 2030.
Commercial New
Construction
• All new residential construction in California will be zero net energy by 2020.
Residential New Construction
• Heating, Ventilation, and Air Conditioning (HVAC) industry will be reshaped
Residential / Small Commercial HVAC
BIG BOLD
Energy Efficiency Strategies
Low- Income Energy Efficiency • All eligible
low-income homes will be energy-efficient by 2020
4
17
Proposed Next Program Cycle
2009-11 ~$4 billion in funding for 3 years IOU program applications submitted and are
being reviewed by the CPUC Decision likely next year Bridge funding adopted by CPUC to fund some of the
2006-8 programs, but no new programs
Many key questions, including: How do (can?) the program applications support the
RRIM & EESP? Do cost-effectiveness indicators need to be adjusted to
meet RRIM & EESP needs: e.g. TRC and net-to-gross?
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California’s GHG Emissions Goals
Reduce GHG emissions to 2000 levels by 2010
Reduce GHG emissions to 1990 levels by 2020
Reduce GHG emissions to 80% below 1990 levels by 2050
19 19
Magnitude of the ChallengeMagnitude of the Challenge
ARB Emissions Inventory
0
100
200
300
400
500
600
700
1990 2000 2004 2020 2050
Year
Million Metric Tons(CO
2 Equivalent)
1990 Emission Baseline
~173 MMT CO2e Reduction
80% Reduction ~341 MMT CO2e
20
CARB - Climate Change Scoping Plan
Climate Change Scoping Plan (Oct. 2008) Energy efficiency strategies will provide 16% of
the estimated total emission reduction (169 MMTCO2E) by 2020
Focus: increased incentives and more stringent building codes and appliance efficiency standards
Focus is on technological improvements, reflecting national and international studies
Bottom line: Incredible challenge & we need to do much more and urgently
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2. Overview of Evaluation
Budgets for energy efficiency program implementation and evaluation have increased over time
California: $2 billion (2006-2008); 8% ($163M) on EM&V Shareholders incentives and risks: $450M $3.7 billion (2006-2008) proposed
Increased interest in evaluation results!!! But how does evaluation relate to the program planning
cycle? And how are evaluation findings used by program managers? How to evaluate energy efficiency programs?
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Energy Efficiency Program Planning Cycle
Planning
Program Design
Program Implementation
Program Evaluation
23
Evaluation Uses by Program & Portfolio Managers
Evaluation results can be used for: Evaluating performance (“report card”)
Accountability and demonstration of success
Improving program design and implementation Improving engineering & behavioral
assumptions Prioritizing program and portfolio budgets Finalizing incentive payments Resource (strategic) planning
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Six Types of Evaluation
Evaluation Category
Phase at which Implemented Assessment Level
Market and/or Program
Market and/or Program
Implementation phase (post-hoc)
Program
Program & Market
Program or Portfolio
5. Market effects evaluation
Pre-program planning phase (a priori)
Evaluation Type
6. Cost-Effectiveness evaluation
Program
Formative
3. Process evaluation
Outcomes
1. Market assessment (includes market characterization, baseline studies)
2. Potential or feasibility studies
Implementation phase (post-hoc) and/or post-
implementation (ex-post)
4. Impact evaluation
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Impact Data Needed to Collect
Monthly energy consumption
Metered or monitored energy usage
Load shape data (day, season, year)
Hours of operation for building or measures
Physical characteristics of the building and equipment (size and location)
Other physical variables: temperature, flow, weather
Building occupancy schedules and occupant data
27
Data Collection and Analysis Methods for Impact Evaluation
Engineering methods
Basic statistical billing analysis
Multivariate statistical analysis
End-use metering
Short-term monitoring
Integrative methods
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3. Adjustments to Energy Savings: Net Energy Savings
Gross energy savings
Net energy savings [Additionality] Baselines (naturally occurring … energy use/ energy
savings/ market adoption, etc.) Free riders Program spillover
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Net Energy Savings & Additionality
International Perspective: Joint Implementation and Clean Development Mechanism Emission reductions must be “additional to any that would
otherwise occur” [“additionality criteria”] [“net emissions”] Determining additionality requires a baseline Focus is on environmental additionality (GHG emissions)
US/Utility Regulatory Perspective: Similar to net energy savings [versus gross energy savings] Determining net savings requires a baseline Accounts for naturally occurring conservation and free riders
30
Baselines [Reference Case]
What would have happened in the absence of a particular project or
program? [counter-factual question] Need to account, if possible, for economic
growth, technological changes, prices, policy or regulatory shifts, population changes, market barriers and trends, etc.
Baselines must be credible and realistic to prevent/mitigate gaming
31
Free Riders #1
Activities are undertaken by participant(s) who would have conducted the same activities if there had been no project
Savings from free riders are not “additional” to what would otherwise have occurred
Therefore, subtract the free riders’ energy savings from gross savings to get net energy savings
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Free Riders #2
Example in California: If NTG = .8, then Free Riders =.2 (i.e., 20% of energy
savings was due to energy savings from free riders)
Free rider methodology Self reports - measurement limitations: social desirability
bias, cognitive dissonance, and attribution Comparisons with non-program areas - measurement
limitations: data availability, self-selection bias, non-equivalent comparison groups
Net Energy Savings:
Gross Energy Savings
Net to Gross =(NTG)
33
UNFCCC/ CDMIndicators of Project Additionality
Regulatory Additionality Has the project been directly or indirectly mandated by law or
regulation?
Investment Additionality Would the project have occurred under the investing party’s
normal investment decision rules?
Technological Additionality Does the project involve technology or practices that go beyond
conventional practice in the corresponding industry or sector?
Barrier Removal Additionality Does the project remove or work to overcome any information,
institutional or other barriers that would persist in the reference case?
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Program Spillover Participant spillover
Not normally looked at What program participants did “extra” as a result of participating in
program
Nonparticipant spillover Not normally looked at What program nonparticipants did as a result of hearing about the
program
Spillover methodologies Self reports - measurement limitations: social desirability bias,
cognitive dissonance, and attribution Comparisons with non-program areas - measurement limitations:
data availability, self-selection bias, non-equivalent comparison groups
Market effects (e.g., sales) - measurement limitations: key is data availability and quality
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4. Cost-Effectiveness Metrics
If TRC >1, program is cost effective
If TRC < 1, program is not cost effective (but may still want to include as part of a portfolio of programs)
Savings are adjusted by NTG Free riders has been the sole adjustment factor so far
BENEFITS [Savings]: Utility Avoided Power Cost
(and small emissions adder)
Costs: Total Project Costs
(All program and participant costs)
Total Resource Cost =(TRC)
36
TRC Concerns
Is the right avoided cost being used? Should avoided cost be based on natural gas combined
cycle gas turbine (CCGT) or renewable energy (wind, solar) power plant?
Are NTG methodological issues too overwhelming? Should some costs be subtracted because people
invest in energy efficiency for non-energy reasons? Comfort, quiet, home value, improved air quality, health,
productivity, jobs, etc. Non-energy benefits (NEBs) are not included
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Revise TRC
BENEFITS [Savings]: Utility Avoided Power Cost(New Avoided Cost Plus
NEBs)
Costs: Total Project Costs
(All program and 20% participant costs)
Total Resource Cost =(TRC)
38
5. Why Do We Care about TRC & NTG? #1
Regulatory objectives & concerns Are we giving away money wisely? (Efficiency argument) Are we giving away money to people who do not need it?
(Equity argument)
In CA: focus has been on resource acquisition (RA) programs - due to RRIM
Not on market transformation (MT) programs - EESP focus
Not on market (program-centric) - EESP focus
In CA: focus is on free riders - due to RRIM Not on spillover (participant and non-participant) - EESP
focus Not on market effects - EESP focus
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Why Do We Care about TRC & NTG? #2
Focus varies by: Regional objectives (RA [RRIM] vs MT [EESP]) Program maturity (new versus old programs) Concern over reducing greenhouse gases
Gross reductions Net reductions (cap and trade; emissions trading) -
Additionality
Policy issue: Does current use of TRC and NTG inhibit new,
market transforming energy efficiency interventions? Time to look at market effects? Non-Energy Impacts?
40
IEPEC Conference
To Learn More about Evaluation and These Exciting Topics, Go to:
International Energy Program Evaluation Conference (IEPEC)
August 12-14, 2009 Portland, OR http://www.iepec.org