Efficiency Valuation: Fine Tuning M&V for Business Transactions
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The document outlines the importance of Measurement and Verification (M&V) in energy efficiency investments, emphasizing the need to quantify risks and manage uncertainty in business transactions. It introduces the International Performance Measurement and Verification Protocol (IPMVP) and discusses various M&V protocols while highlighting investment decision information needs for both demand-side and supply-side projects. Additionally, it reviews different contexts of M&V application across public programs and private firms, ultimately concluding that effective management of uncertainty in M&V is crucial for optimizing resource allocation.
Efficiency Valuation: Fine Tuning M&V for Business Transactions
- 1. Efficiency Valuation: Fine Tuning M&V for Business Transactions Steve Kromer Efficiency Valuation Organization Copenhagen, Denmark April 19th, 2006
- 2. 2 The Speaker • Steve Kromer, P.E. – Twenty years experience in energy efficiency M&V – Chair, Efficiency Valuation Organization (EVO) • EVO: Efficiency Valuation Organization – International non-profit organization – Manages the IPMVP - Energy Savings Verification – Developing the IEEFP - Finance Protocol – Mission: • To develop and promote the use of standardized efficiency protocols • To help users quantify the risks and benefits in efficiency business transactions
- 3. 3 Major Points • Verifying energy efficiency investments in: • Contract environments (ESCOs) – Government (US Federal) – Private • Public programs (Utility) • M&V “Protocols” – IPMVP, FEMP, ASHRAE – The 2006 California EM&V Protocols • Identify, Quantify and Manage - Uncertainty
- 5. 5 Energy Impacts Energy Efficiency -The Opportunity • Energy Demand is a function of productivity – Financial decisions within the firm drive energy purchases – Optimizing energy utilization (not eliminating) • Energy Demand contributes to environmental “costs” – Society demands that these costs are priced • Taxation – Public Goods Charge on electric bill – Emissions markets - ETS, CDM, CCX Markets drive value of efficiency
- 6. 6 Energy Investment Decisions Investment in Supply Side Investment Demand-SideSupply-Side Generation Transmission Distribution Efficiency Demand Response What Information is needed to support Supply-Side • Investment decisions ? • Implementation ? • Settlement ? What Information is needed to support Supply-Side • Investment decisions ? • Implementation ? • Settlement ?
- 7. 7 Efficiency Investment Decisions Information Needs Investment Demand-SideSupply-Side What Information is needed to support Demand-Side • Investment decisions ? • Implementation ? • Settlement ? What Information is needed to support Demand-Side • Investment decisions ? • Implementation ? • Settlement ? •T -8 Lighting •New Chiller •VAV Install •Controls •High Efficiency Motors Generation Transmission Distribution Efficiency Demand Response
- 8. 8 Balancing Investment in Supply and Demand Investment •T -8 Lighting •New Chiller •Boilers •Plant Improvements •Controls •High Efficiency Motors Demand-SideSupply-Side Generation Transmission Distribution Efficiency Demand Response
- 9. 9 EXAMPLE: California 2006-2008 Energy Efficiency Programs Demand-Side InvestmentInvestment $2.0 Billion$2.0 Billion Supply-Side Generation Transmission Distribution Efficiency Demand Response •T -8 Lighting •New Chiller •Boilers •Plant Improvements •High Efficiency Motors New EM&V Protocols Based on: IPMVP
- 10. 10 IPMVP International Performance Measurement and Verification Protocol • Volume I - Energy Savings Concepts and Tools – Defines basic M&V terminology (4 “Options”) – General procedures to achieve reliable and cost-effective determination of savings – Applicable to energy or water efficiency projects in buildings and industrial plants • Volume II - Indoor Environmental Quality • Volume III - New Construction and Renewables
- 11. 11 M&V Options Options A and B are retrofit-isolation methods Options C and D are whole-facility methods The difference is where the boundary lines are drawn
- 12. 12 M&V Constraints • EVERY SITUATION IS DIFFERENT – Every facility is “wired” differently – Difficult to create standard M&V plans • M&V plan costs must be reasonable – Costs must provide benefits • Cost of M&V should reflect uncertainty in project – Lower uncertainty = less M&V • M&V should reduce uncertainty – Benefit is the reduced uncertainty
- 13. 13 M&V Requires TWO Meters 250,000 500,000 750,000 1,000,000 kWh Baseline Period Performance Period WWHH meter Watt-hour MeterWatt-hour Meter What Would Have Happened MeterWhat Would Have Happened Meter
- 14. 14 Watt-hour (Wh) Meters & What Would Have Happened (WWHH) Meters What Would Have Happened Meter = Model Components - Algorithms (Models), Inputs, Metered data Example 1 - Change Point Models… Example 2 - Simple Lighting Spreadsheet Watt-hour Meter Components - Wheels, Dials, Wires, CTs
- 15. 15 M&V Decisions Balancing Benefit and Cost Cost of Information Benefit of Information? What Information is needed to support • Investment decisions ? • Implementation ? • Settlement ? What Information is needed to support • Investment decisions ? • Implementation ? • Settlement ? Benefit/Cost = 1Benefit/Cost = 1 •Meters •Analysis How do we quantify the value of reduced uncertainty? •Reduced Uncertainty
- 16. 16 Settlement Quality • We’ve heard about “Investment Grade” Audits • Now we need “Settlement Quality” M&V • Can you bank the output of your M&V? • Is the M&V sufficient for credits, certificates?
- 17. 17 M&V Contexts • Government Contracts (ESPC) – Federal Energy Savings Performance Contracts • Private Contracts within a firm – Enron Energy Services – Energy Asset Management - Project Valuation • Public Programs (Utility Programs) – Texas, BC Hydro, New England, Northwest – California EM&V
- 18. 18 FEMP Super ESPC • M&V must follow FEMP M&V Protocol – Based on IPMVP – Some instruction on basing M&V on uncertainty • Hundreds of projects in federal sector • Measurement plans for each project • Uncertainty variables identified • Total uncertainty calculated • Value of Information = Comfort of Agency decisions makers
- 19. 19 Private Firm M&V • M&V required to justify internal capital allocations (optimize energy systems) • Portfolio Approach – All projects evaluated for uncertainty and risk – Highest risks get most attention • Value of M&V - Calculated by risk-adjusted discount rate (Rigorous!!) • Requires taking a position on risk/reward
- 20. 20 California EM&V Protocols EM&V - Evaluation, Measurement & Verification • $2 Billion EE Investment by Utilities • $120 Million budget for EM&V (3 yrs) –Allocation of EM&V based on uncertainty –Uncertainty assessed for each program –Portfolio model assess total uncertainty –Uses Monte Carlo simulation tool • http://www.cpuc.ca.gov/static/energy/electric/energy+efficiency/rulemaking/eeevaluation.htm
- 21. 21 Public Programs: California EM&V • Public Goods Charges (tax on ratepayers) • Political emphasis on “enhancing reliability” • Approach taken - – Identify (calculate) “baseline” uncertainty – Portfolio-wide “risk” assessment • Allocation of MASSIVE M&V funding based on risk ($120,000,000 US) • Relative allocation, not absolute (not rigorous) • Value based on expected uncertainty reduction
- 22. 22 “Monte Carlo” Tools • Common tools using Monte Carlo techniques • SAS - most common statistical software package (All big evaluation firms and utilities have SAS) • SPSS - Statistical Package for Social Sciences • @Risk (Palisade) – commerical software – runs as Excel “add-in” • Crystal Ball (Decisioneering) – commercial software – runs as Excel “add-in”
- 23. 23 Energy Efficiency Investments Physical and Financial Risks + = Physical Assumptions Forecast =Range of possible outcomes
- 24. 24 “Results” - the Forecast and Sensitivity
- 25. 25 Applicable at Many levels • Apply at Portfolio Level (Top down) – Allocation of EM&V resources • Apply to Programs – Planning • Apply to Project M&V (Bottom up) – Identifying the variables to measure • Next step - optimal allocation of resources – Based of cost of reduced uncertainty
- 26. 26 Lighting Example Using Crystal Ball • Simple “Model” • Full load hour biggest uncertainty • Watts of baseline next biggest • Pre and Post Metering increase precison
- 27. 27 Applying Risk Analysis to Programs Using Crystal Ball • Accepted “Model” • Measurable Precision • Quantified Risk
- 28. 28 Applying Risk Analysis to Portfolios
- 29. 29 Monte Carlo tools • Compatible with IPMVP • Simple to apply to any spreadsheet model • “Best case” “Worst case” “Most likely” estimates are already in your head. • Allows systematic management of “estimates”
- 30. 30 Conclusions • IPMVP Options successfully applied in government / private / utility programs • Identifying, Quantifying and Managing uncertainty is critical to the business transaction • The Art of M&V is evolving • Tools to help quantify uncertainty and optimize allocation of M&V resources are available
- 31. 31 Thank You Join us today: www.efficiencyvaluation.org Download IPMVP Volumes: www.ipmvp.org Contact me: Steve Kromer, Chair, EVO Board of Directors: stevek@efficiencyvaluation.org