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LOS ANGELES DEPARTMENT OF WATER AND POWER ENERGY EFFICIENCY POTENTIAL STUDY Demand Analysis Working Group (DAWG) September 25, 2014.

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Presentation on theme: "LOS ANGELES DEPARTMENT OF WATER AND POWER ENERGY EFFICIENCY POTENTIAL STUDY Demand Analysis Working Group (DAWG) September 25, 2014."— Presentation transcript:

1 LOS ANGELES DEPARTMENT OF WATER AND POWER ENERGY EFFICIENCY POTENTIAL STUDY Demand Analysis Working Group (DAWG) September 25, 2014

2 AGENDA  Introduction and Study Overview – Project Overview and Goals – Methodology  Study Results – Technical and Economic Potential – Program Potential Scenarios – Achievable Potential Details  Final Discussion and Questions 2

3 STUDY OVERVIEW AND METHODOLOGY 3

4 EE POTENTIAL - GOALS AND SCOPE  Produce estimates of the total potential energy and demand savings that exists across all customer segments in LADWP’s service territory that can cost-effectively be achieved over the 10- year period from 2013-2014 through 2023-2024. – Energy Efficiency impacts, not including Demand Response or Renewable Energy technologies – Attention paid to expected achievements in 2020 4

5 EE POTENTIAL – POTENTIAL ASSESSMENT TYPES 5

6 EE POTENTIAL –ASSESSMENT METHODOLOGY 6 Baseline End-Use Consumption (EUC) by Sector and Market Segment Energy-Efficiency Technology Technical Potential Economic Potential Maximum Achievable Potential Program Potential Program Planning & Target Adoption Technology Characteristics Savings Fraction Fuel Share Saturation Feasibility Interactions Customer Choice Participant Benefits Participant Costs Market Barriers Program Design Scenario Analysis Measures Offered Incentive Levels Marketing Cost-Effectiveness Load Shapes Avoided Cost Benefits Measure Costs

7 EE POTENTIAL – BASELINE FORECAST  Forecast disaggregated end-uses and segments into the future, considering: – Expected growth – Codes and standards – Integrated resource plans 7

8 TASK 1: EE POTENTIAL – END-USE CHARACTERIZATION  Profile customers by sector, segment, and end-use level.  Estimate saturation of energy using equipment in homes and businesses.  Relied on customer and equipment saturation data provided by LADWP, as well as secondary sources 8

9 EE MEASURE DEVELOPMENT  EE measure database assembled relying primarily on secondary research  Key data sources included: – LADWP program data – 2013 CA PUC potential study – Database for Energy Efficiency Resources (DEER) – CA IOU EE measure work papers – E3 Calculator – Industrial Assessment Center Database – Energy Star calculators – Nexant and Cadmus implementation & evaluation experience 9

10 EE POTENTIAL – MEASURE ANALYSIS 10

11 MEASURE ANALYSIS  Measures classified into two categories: – Equipment (Lost-Opportunity) Savings are realized as existing equipment turns over as more efficient equipment is installed Savings are calculated relative to standard equipment – Retrofit (Discretionary) Aside from new construction, savings can be captured at any time Savings are calculated as a % improvement on existing equipment  Modeling accounts for competition and captures year-to- year interactions between the measure types – Example: Weatherization installed in one year and high efficiency furnace installed the next. Savings for high efficiency furnace are lower because weatherization reduces baseline and efficient equipment per-unit consumption. 11

12 EE POTENTIAL - TECHNICAL POTENTIAL  To calculate technical potential, the most efficient measures are selected, regardless of cost and applied in the basic equation Technical Potential Economic Potential Achievable Potential Program Potential 12

13 EE POTENTIAL - ECONOMIC POTENTIAL  Calculated by screening for cost effectiveness and only including the measures/bundles/programs that meet the established criteria  Total Resource Cost (TRC) test is most commonly used in potential studies, and was used for this study Technical Potential Economic Potential Achievable Potential Program Potential 13

14 EE POTENTIAL – MAX ACHIEVABLE POTENTIAL  Market penetration is percentage of eligible customers who will actually participate in utility programs due to market barriers.  Unlike a traditional potential studies, focus was on sector and portfolio-level cost-effectiveness, therefore: Technical Potential Economic Potential Achievable Potential Program Potential 14 – Measures with B/C ratio < 1 were included – Applicability adjustments applied to non-cost effective measures based on B/C ratio

15 ACHIEVABLE & PROGRAM POTENTIAL METHODOLOGY 15 Benefit Cost RatioApplicability Adjustment Up to 0.30% 0.3 to 0.55% 0.5 to 0.815% 0.8 to 1.030% 1.0 and above100%  Applicability for non-cost-effective measures were established to target sector-level B/C ratios >1.0  Measures with ratio <0.3 were excluded  Additional caps necessary for residential sector

16 EE POTENTIAL – PROGRAM POTENTIAL  Subset of maximum achievable potential to reflect resource constraints: – Limited incentive dollars – Limited marketing intensity 16 Technical Potential Economic Potential Achievable Potential Program Potential  Seven scenarios analyzed  Each scenario included unique assumptions regarding spending on incentives and other program costs, and acquisition rates.

17 EE POTENTIAL – PROGRAM POTENTIAL SCENARIOS  Program potential scenarios investigated the following: – Based on a range of incentive levels and outreach/marketing intensity levels that are both lower and higher than LADWP’s current EE activities and business plan – EE scenarios that assess feasibility and cost to reach: 10% savings by 2020 15% savings by 2020 >15% savings by 2020 17

18 ANALYSIS OF PROGRAM PLANNING IMPLICATIONS  Refinement of targeted program potential scenario with program-level analysis of: – Measure bundles included in program offerings – Incentive expenditures – Administrative and marketing expenditures – Ramp rates for discretionary measures  Ten planning scenarios developed to demonstrate delivery and budget options for achieving 15% savings target  LADWP selected preferred scenario to adopt for updated 10-year program plan 18

19 PROGRAM POTENTIAL SCENARIO ASSUMPTIONS 19 Assumption/ScenarioLowMediumHigh High - Advanced High - Extreme Minimum TRC B/C Threshold 0.3 0.15 Incentives as % of Incremental Cost 25%50%75%90%100% Admin/marketing as % of incremental Cost 20%35%40%65%75% Achievable Program Potential as % of Total Program Potential46%64%74%79%81% Discretionary Ramp Rate10 Year Accelerated : 8 Year Normal: 10 Year Accelerated : 7 Year Normal: 10 Year

20 PLANNING SCENARIO ASSUMPTIONS 20 ScenarioAssumption/Scenario Min B/C Threshold Ramp Assumption 1Incentive 90% of incremental cost; 60% admin – all programs0.3Logistic ramp 2Incentive 90% of incremental cost; 60% admin – all programs0.5Logistic ramp 3 Incentives range from 30% to 100% of incremental cost by program; Admin ranges from 20% to 60% by program0.3Logistic ramp 4 Incentives Range from 50% to 90% of incremental cost by program; Admin ranges from 40% to 60% by program0.5Logistic ramp 5 Incentives range from 50% to 100% of incremental cost by program; Admin fixed at 40% for all programs0.5Logistic ramp 6 Incentives range from 30% to 100% of incremental cost by program; Admin ranges from 20% to 40% by program0.5Logistic ramp 7 Incentives 100% of incremental cost for all programs; Admin ranges from 20% to 60% by program0.5 9 Year Linear Ramp 8 Incentives range from 50% to 100% of incremental cost by program; Admin ranges from 20% to 40% by program0.3 9 Year Linear Ramp 9 Incentives range from 30% to 100% of incremental cost by program; Admin ranges from 20% to 40% by program;0.5 8 Year Linear Ramp 10Incentives defined by target incentive rates for program groups 0.5 for D.I.; 0 for other programsLogistic ramp

21 STUDY RESULTS - SUMMARY 21

22 EE POTENTIAL –RESULTS SUMMARY 22

23 PROGRAM PLANNING - ADOPTED SCENARIO 23 FY 13-14 FY 14-15 FY 15- 16 FY 16-17 FY 17-18 FY 18-19 FY 19-20 FY 20-21 FY 21-22 FY 22-23 Incremental Program Savings (GWh)20723335743747947042720212790 Incremental C&S Savings (GWh)71768478625045393329 Annual Program Budget ($M)$84.6$94.7$144.9$177.6$193.8$189.8$171.9$80.9$50.6$35.7 Cumulative Energy Savings as Percent of Baseline Sales

24 STUDY RESULTS - SCENARIO DETAILS 24

25 EE POTENTIAL – TECH & ECO POTENTIAL RESULTS 25 Sector Technical PotentialEconomic Potential GWh Savings % of Base Sales GWh Savings % of Base Sales Residential 3,33433%1,62516% Commercial 3,33223%2,18815% Institutional 14319%11015% Industrial 31414%26512% Codes & Standards* 1,690NA1,690NA Total 8,81331%5,87721% * Includes savings from Huffman Bill, Title 24 codes, and Title 20 standards, as well as federal standards not covered by California standards.

26 EE POTENTIAL – 2020 PROGRAM POTENTIAL RESULTS Scenario Energy savings* (GWh) (cumulative) % of 2020 Base Sales** Avg. Annual Savings % (2014-20) Avg Annual Budget ($000) TRC Ratio UCT Levelized Cost Low1,94710.1%1.1%$47,7551.55$0.024 Moderate2,48512.2%1.4%$125,1731.38$0.046 High2,73713.2%1.5%$174,8431.33$0.063 Aggressive Normal2,93314.0%1.7%$281,3331.13$0.085 Accelerated3,38315.8%1.9%$319,0821.13$0.085 Extreme Normal3,01414.3%1.7%$358,1030.90$0.115 Accelerated3,82517.5%2.2%$438,7860.90$0.115 26 *Includes both EE program potential and impacts of codes & standards **Includes energy savings accomplishments from 2010-2013 EE programs and C&S

27 EE POTENTIAL – 2023 PROGRAM POTENTIAL RESULTS Scenario Energy savings* (GWh) (cumulative) % of 2023 Base Sales** Avg. Annual Savings % (2014-23) Avg Annual Budget ($000) TRC Ratio UCT Levelized Cost Low2,94311.2%1.1%$48,0431.55$0.024 Moderate3,71414.2%1.4%$125,9251.38$0.046 High4,07515.5%1.6%$175,8951.33$0.063 Aggressive Normal4,35616.6%1.7%$283,0251.13$0.085 Accelerated4,35716.6%1.7%$283,0541.13$0.085 Extreme Normal4,47517.1%1.7%$364,0230.90$0.115 Accelerated4,49617.1%1.7%$368,3360.90$0.115 27 *Includes both EE program potential and impacts of codes & standards **Does not include energy savings accomplishments from 2010-2013 EE programs and C&S

28 CUMULATIVE SAVINGS – PROGRAM POTENTIAL 28

29 EE POTENTIAL – FORECAST COMPARISON 29

30 PLANNING SCENARIO RESULTS 30 ScenarioAssumption/Scenario Avg Annual Budget ($M) 2015- 2016 2019- 2020 2022- 2023 1Incentive 90%,; admin 60% – all programs, 0.3 B/C threshold $3897.4%16.4%18.2% 2Incentive 90%,; admin 60% – all programs, 0.5 B/C threshold $3267.2%15.9%17.6% 3 Incentive 30% to 100% by program; Admin 20% to 60% by program, 0.3 B/C threshold $1926.9%15.0%16.6% 4 Incentive 50% to 90% by program; Admin 40% to 60% by program, 0.5 B/C threshold $2427.1%15.5%17.2% 5 Incentive 50% to 100% by program; Admin 40% for all programs, 0.5 B/C threshold $1796.7%14.5%16.0% 6 Incentive 30% to 100% by program; Admin 20% to 40% by program, 0.5 B/C threshold $1616.7%14.5%16.0% 7 Incentive 100% all programs; Admin 20% to 60% by program, 0.5 B/C threshold $2477.9%14.5%17.4% 8 Incentive 50% to 100% by program; Admin 20% to 40% by program, 0.3 B/C threshold $2247.9%14.6%17.5% 9 Incentives 30% to 100% by program; Admin 20% to 40% by program, 0.5 B/C threshold $1577.9%14.4%16.1% 10 Target incentive rates for program groups, 0.5 B/C threshold for DI, 0 for other program groups $1516.8%14.5%16.1%

31 EE POTENTIAL – ECONOMIC RESULTS 31 *Includes energy savings from 2010-13 programs but does not include program spending from that time period

32 STUDY RESULTS - SECTOR AND END-USE DETAILS 32

33 EE POTENTIAL – RESIDENTIAL RESULTS 33 By SegmentBy End Use

34 EE POTENTIAL – COMMERCIAL RESULTS 34 By SegmentBy End Use

35 EE POTENTIAL – INSTITUTIONAL RESULTS 35 By SegmentBy End Use

36 EE POTENTIAL – INDUSTRIAL RESULTS 36 By SegmentBy End Use

37 FINAL QUESTIONS/DISCUSSION 37


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