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1 Customer Experience with Dynamic Rates: Load Impacts, Satisfaction Levels and Lessons Learned from the California Pricing Pilot Load Management and Demand Response Programs EUCI conference, July 21-22, 2004 Mike Messenger Chief Demand Side Planner California Energy Commission mmesseng@energy.state.ca.us
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2 California Vision for Demand Response* Process CPUC, CEC, CPA joint proceeding on advanced metering, dynamic pricing and demand response, (June 2002 – present) Objectives 1.Enhance system reliability 2.Lower power costs 3.Protect the environment 1.Enhance system reliability 2.Lower power costs 3.Protect the environment Goal “All California electric consumers should have the ability to increase the value derived from their electricity expenditures by choosing to adjust usage in response to price signals, by no later than 2007.” Decision 03-06-032, June 2003 *
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3 Thoughts On the Transition to Dynamic Pricing and A Disclaimer The important thing for Government is NOT to do things which individuals and firms are doing already, or to do them a little better or a little worse, but to do and seek those things which at present are not being done at all! ( Who said this?) If economists were good at business, they would be rich men, instead of advisors to rich men
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4 Vision Challenges 1.Dynamic Rate options require advanced metering networks and an upgrade to billing systems. This requires a thorough evaluation of the costs and benefits of advanced metering options and deployment strategy. 2.California utilities seek to identify demand elasticities for different types of customers to estimate system procurement impacts before deploying new rates. 3.Policy makers want to identify likely winners and losers under various rate deployment scenarios to avoid the risk of program failure Solution California Statewide Pricing Pilot (SPP)
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5 Roadmap for Today Pilot Objective and Sample Design Customer Experience with Pilot and Reaction to Rates and Need to adjust usage Residential and Small Customer Load results Discuss Business Case Development Highlight Key issues to be Resolved and Next Steps
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6 Definitions Demand Response (DR)- Actions taken by customers on the demand side of the meter to adjust energy usage in response to changes in price or system conditions Load Management- Programs designed to reduce peaks and fill valleys in typical system load shapes to increase overall asset utilization, ( a subset of DR)
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7 Research Objectives of the Statewide Pricing Pilot Estimate changes in energy usage (kwh) and demand (kW) resulting from different forms of time differentiated rates. Estimate price elasticities based on these results and examine how they vary by weather, customer characteristics and base usage Estimate customer preferences for dynamic and current rate forms and features Evaluate effectiveness of marketing and information materials distributed during the pilot.
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8 SPP Sample Design 2400 customers selected via random sample with requirement to sign up: 1600 participants and 800 controls Stratified by Residential (SF,MF) small commercial ( less than 20kw and 21kw to 200kW), high and low usage, and four climate zones Relatively low drop out rate (5%) after signing up for tariff; roughly 50% of those contacted chose to remain on rate
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9 SPP climate zones vary from cool Zone 1 to very warm Zone 4 Source: CRA presentation, May 22 in Chicago Pricing conference
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10 Distribution of Population and Cooling Degree Days by Climate Zone Climate Zone % of CA population Average Cooling Degree hours/day in Peak period 112%16 248%30 330%62 410%106
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11 Rate forms to be Tested Inverted tier rates - existing rates that increase in stages as a function of total monthly usage (for controls only) Time-of-use (TOU)- seasonal rates with fixed-duration on-peak and off-peak rating periods. (Peak 2pm to 7 PM) Critical Peak Pricing – Fixed period (CPP-F) - TOU rates with an additional “critical peak” price that the utility can be dispatched for up to 15 times each year with day ahead notice Critical Peak Pricing – Variable period (CPP-V) – Same as above but notification before dispatch is 4 hours and CPP peak period can vary from 2 to 5 hours and customers offered smart thermostats.
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12 CPP Tariff (high)TOU Tariff (high) 73.4¢ 23.4¢ 8.9¢ 0 10 20 30 40 50 60 70 80 Cents per kWh Existing Rates Avg. Summer Price 13.4 ¢/kWh 26.0¢ 10.3¢ PeakOff-Peak PeakOff-PeakCritical Peak 1,500 hrs/yr 7,260 hrs/yr 75 hrs/yr 1,425 hrs/yr 7,260 hrs/yr SPP Experimental Rate Forms (Summer) Residential Peak = 2:00-7:00pm weekdays; Off-Peak = all other hours Critical Peak is dispatched from 2:00 to 7:00, 15 days per year
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13 Sample CCP-V rates for Small C&I customers (0-199kW) Control Group Average Price 15.3 cents/kWh Control Group Average Price 18.3 cents/kWh
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14 Customer Experience during the First 3 months of the Pilot Next slides will highlight results from a 120 question survey given to a sample of 390 participants
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15 Customer Perceptions of the New Rates and Bill Formats Did Customers like their new dynamic rate forms and if so Why? Yes, usually to save money ( See slides 16 and 17) What was the primary reason customers joined the pilot? Most joined to save money or get better control of their energy use A majority report their expectations were met Did customers report taking action( s) in response to higher prices? Was it easy to adapt and are the changes permanent? Yes, 85% of participants report taking at least one action and 30 report multiple actions (2 or 3) ; Yes Easy to adapt (see sld 18) Should the new rates be offered to all customers in their sector? 60% say definitely and 25-30% say probably. Slightly lower for commercial customers (slide 19)
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16 Most residential participants on either TOU or CPP rates say that, given a choice, they would prefer to continue with the new pricing plan Total TOU CPP-F CPP-V Total TOU CPP-F CPP-V Continue New Plan Return to Previous Rate Why? I’m saving money 58% I like it 12% Saving energy 10% Can control/manage my energy use 7% Why Not? Need more time 58% Too much hassle 22% Note: No statistically significant difference exists across programs (Chi square = 1.52, p=.465) Source: Momentum Market Intelligence: End of Summer Report February 2004
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17 SPP Customer Rate Preferences Original Inverted Tier Rate New Time- Varying Rate Residential CPP-V CPP-F TOU 80% 81% Commercial CPP-V TOU 2040608020406080 30% 29% Source: SPP End-of-Summer Survey Report, Momentum Market Intelligence, WG3 Report, January 21, 2004, p23-24. Customer Preferences SPP Results Percent that Prefer 0 20% 23% 19% 70% 71% 77%
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18 % Easy (1-5)% Permanent Shift laundry*73%93% Use appliances less *82%88% Turn off lights *83%92% Decrease peak use (general) *66%78% Turn AC off/use less *69%86% Shifted dishwasher use *89%93% Reduce laundry water temperature *82%100% Shift pool/spa pump/filter use *94%95% Made improvements to home EE *48%83% Turn up AC temperature *73%74% Ease and Persistence of Reported Changes in Electricity Use During the Pilot By Residential Participants
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19 Q95: In your opinion, should the new program be offered to other residential customers in California? Please tell me if the new program should definitely not be offered, probably should not be offered, probably should be offered, or definitely should be offered to other customers./ Q96: Why do you feel that way? SPP Participants report that the new rates should be offered to all residential customers Total TOU CPP-F CPP-V Info Only Total TOU CPP-F CPP-V Info Only Definitely Probably Why do you feel that way? You save energy19% You save money17% It’s good/we like it15% It makes people aware of energy conservation13% Everyone should have a chance to participate12% You can be in control/ manage your energy use 5%
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20 -24.2-38.8-14--28.0 CPP - Variable -12 to --22-2.3—9.5 CPP – Fixed 0 to-16.0 Time-of-Use CPP Days Non-CPP Days Rate Form -49.4-1.4 -19.5-0.2 -23.5-0.3 PercentkWh ` Change in Coincident Peak Demand Percent Change in Peak Consumption 2 pm- 7 pm Preliminary SPP Impacts on Peak Consumption and Coincident Peak Demand- Residential Customers Source: Statewide Pricing Pilot, Summer 2003 Impact Analysis, Charles Rivers Associates, January 16, 2004, Tables 1-1 and 1-2. and CRA updated analysis presented on June 8,2004 in Sacramento. 5.25 Conservation and Peak Load Impacts SPP Results CPP days= 8-12 hot days per summer when high prices are dispatched
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21 Peak period impacts are larger in the hotter climate zones than in the cooler zones Residential customers Source: Charles River Associates, Summer 2003 Impact Evaluation: June 9, 2004
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22 Own-price elasticities of demand for the CPP-F rate vary across climate zones Preliminary Elasticity Estimates Summer 2003 Climate ZonePeak PeriodOff-Peak Period Zone 1 (cool) -0.05 * -0.21 Zone 2 (mild) -0.09-0.16 Zone 3 (hot) -0.14+0.03 * Zone 4 (hottest) -0.24-0.14 * All Zone Average -0.12-0.11 * Not statistically significant at the 95% confidence level: Source CRA May 21 estimates presented in Chicago.
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23 Small Customer Load Impacts Tend to be strong and significant for customers with less than 20kW load Analysts still in disagreement on the findings for the greater than 20kW small Com. sample; –Own price elasticities was -.15 while elasticity of substitution for peak price was +.05. –Some say population is too heterogeneous and sample size too small to make conclusions. N=76
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24 CPP-V rates coupled with Smart Thermostats Produce the largest peak reductions Reductions ranged from 28% on “cool” summer days to 55% on hottest summer days ; 1.4 kw peak/hh Elasticities INCREASE as a function of weather- Range reported from -.06 to -.44, average -.22; Automatic controls really do mater
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25 Sample CPP-V rates for Small Commercial customers compared to current rates Control Group Average Price 15.3 cents/kWh Control Group Average Price 18.3 cents/kWh
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26 NA >20kW CPP-V 24.72.3 <20kW -CPP-V CPP Days Non-CPP Days Rate Form NA -NA NA PercentkWh ` Change in Coincident Peak Demand Percent Change in Peak Consumption 2 pm- 7 pm Preliminary SPP Impacts on Peak Consumption and Coincident Peak Demand- Small C&I customers Source: Statewide Pricing Pilot, Summer 2003 Impact Analysis, Charles Rivers Associates, June 9, 2004 slides 25 and 26( Presentation at the California Energy Commission. And subsequent memos on variation by characteristics 5.25 Conservation and Peak Load Impacts SPP Results CPP days= 9 hot days per summer when high prices are dispatched for 2 to 5 hours NA= Not yet available, analysis in progress
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27 On CPP days, LT20 customers show higher impacts than GT20 customers, but they also faced higher CPP prices Estimates for the CPP-V tariff may not represent the impacts of the general population of customers Source CRA presentation; June 9 th, 2004, Sacramento, CA.
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28 1. System Impacts CPP rates can, within five years of deployment, reduce California’s residential peak load by 2,000 MW. Peak Load Impacts Net Present Value of Savings from Residential dynamic rate deployment ranged from $.5 billion to $2.3 billion in simulations. Procurement Impacts Observed short-run own-price demand elasticities are consistent with 25 years of historical findings in California and elsewhere. Demand Elasticities SPP Results Confidence Further Testing Hi Med Lo None Useful Essential None Useful Essential Hi Med Lo None Useful Essential Hi Med Lo
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29 Four Scenarios were created to Investigate the Impacts of Different Dynamic Rate offerings in CA. Dr Faruqui of Charles River Associates (CRA) used preliminary data on price responsiveness for residential customer class and a set of assumptions about customer rate preference. CRA then estimated both a base case and probability estimates for each scenario using Monte Carlo simulations
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30 The four Scenarios represent a variety of deployment and opt-out/opt-in scenarios RateDeploymentOpt-Out Rate Opt-In Rate Pure CPP 75 Universal (95%) 20%N/A CPP-F 75 and 2.5 Universal (95%) 20%N/A TOU 1.5MandatoryN/A TOU 2.5OptionalN/A20% in five years
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31 The pure CPP rate will reduce the state’s residential peak load by 2,000 MW in the year 2007 with a probability of 95% Source: CRA, Simulating load impacts of dynamic rates, CEC workshop: March 22, 2004:
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32 Own-Price Elasticities California SPP vs. Nationwide Historical Results 198019851990199520002005 -0.5 0.0 -0.1 -0.2 -0.3 -0.4 -0.6 -0.7 -0.8 -0.9 California 2003 SPP CPP-F Critical Peak Days Nationwide Historical Results Average = -0.30 Source: Predicting California Demand Response, Chris King and Sanjoy Chatterjee, Public Utilities Fortnightly, July 1, 2003, p.27-32. 5.3 Demand Elasticities SPP Results
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33 Customers understood time- differentiated pricing better than they understood tiered rates 1.Most customers resist new rates when they are uncertain of bill impacts- (shadow bills ) 2.80% of residential and 70% of commercial participants preferred the experimental rates to their old rates 70-75% of participants received lower bills under the new rates 2. Customer Impacts Confidence Further Testing Hi Med Lo None Useful Essential None Useful Essential Hi Med Lo None Useful Essential Hi Med Lo Customer Understanding Customer Preferences Bill Impacts SPP Results Hi Med Lo None Useful Essential
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34 Summary of Key Findings from Shadow Bill Comparisons Comparison of Customer Bills on New Tariff vs Old rate- ( N=1395; Same load shape) 75% of Residential Customers had lower bills on new rates Average savings $34 (5.7%) for CPP-F to $53 (5.11%) for Nine months of Data from Summer 2003 to April 2004 25% of customers had higher bills $44 (6.18%) CPP-F to $39 (4% bill) CPP-V
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35 Costs and Benefits of AMI Deployment In Process Business Case Major Issues Next Steps The utilities will each submit a business case for advanced metering infrastructure (AMI) that will include costs and benefits to the utility, customers and society Meter Deployment: Full vs. Partial Implementation: Utility vs. Outsource Meter Cost allocation: Fixed vs. Volumetric Oct’04 – IOU’s file preliminary business cases Dec’04 – Revisions based on 2004 SPP results Mar’05 – CPUC/CEC decision on AMI
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36 Infrastructure System Cost SPP Issue Perspective- Industry Experience worldwide Advanced Metering – Types of System Benefits Standards and Construction Collections Field Work Management Safety Load Forecasting Meter Management Demand Response Vegetation Management Outage and Restoration Tariff and Regulatory Asset Management Billing and Customer Care System Control Settlement 0 Reported Percentage Reduction in System Costs by Type 510152025 Source: “Distribution Technology Roadmap”, Report for the Canadian Electrical Association & Consortium, by Cap Gemini Ernst & Young, U.S. LLC, 2003. 7.15
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37 Cost Allocation SPP Issue Advanced Metering - Cost Allocation PROBLEM Fixed meter charges disproportionately impact low use customer bills. SOLUTION kWh based volumetric cost allocation method. Total Cost Per Residential Meter Option #1. Fixed Charge $ / Meter / Month Option #2. Volumetric Charge $ / Meter / Month $85 - $265$1.05 - $2.25 Monthly Usage Monthly Charge 0 - 300 kWh $0.33 301 - 500 kWh $0.56 501 – 1,000 kWh $1.12 > 1,000 kWh $1.67 7.2
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38 SPP Conclusions 1.Results to date are supportive of the California Vision for Demand Response : Give customers rate choices that reflect real costs. 2.Customers understood and responded favorably to Critical Peak pricing rates. These rates are favored over current tariffs! 3.Customers on CPP rates, particularly those with control technologies, showed higher percentage reduction than those on TOU or inverted tier rate forms. ( however these customers self selected into program) 4.Between 60% and 80% of residential pilot customers received a lower energy bill under the experimental time differentiated tariffs. 5.Preliminary estimates indicate that dynamic rates in the California residential sector alone could produce peak demand reductions of up to 2,000 MW or more. (Key uncertainties include predictions of customer rate choices and persistence of peak reductions.) 6.Costs justification for advanced metering to be determined…
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39 Challenges Going Forward 1.The 2004 summer’s SPP results will be crucial in confirming the benefits/costs of various meter rollout strategies based on summer 2003 2.If the State moves forward with AMI, default rates for residential customers should be changed to time- varying rates: either TOU or CPP 3.It will be important to understand how price responsiveness varies by energy use segments. Initial findings suggest higher proportionate impact as usage increases until last quintile of usage. 4.California has a great track record in encouraging Network Innovations: Pony Express, Interstate Railroads, the Internet: Next Step: Advanced Electricity Metering
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40 Next Steps- Facilitating Introduction of Smart thermostat controls Vision- it will be important to make it easy for residential customers to purchase some form of demand responsive thermostats if they choose to be put on a CPP-V rate (e.g. high prices with a few hours notice) in 2006 and beyond CEC plans to conduct a workshop to ask manufacturers of meters and controls what steps would be necessary to ensure their product can communicate with new metering systems and respond to critical peak rates. Options for action may include: development of a common communication protocol via private meetings, appliance standards, building standards or as part of the CEC’s load management standards
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41 Want More Information? Visit the CEC demand response website and download papers on evaluation results from SPP contractors and CEC staff (http://www.energy.ca.gov/demandresponse/index.html) Contact Mike Messenger at 916-654-4774 Or email at mmesseng@energy.state.ca.us Visit the Peak load management alliance website for information on advanced metering projects in other states. http://www.peaklma.com/i4a/pages/index.cfm?pageid=1
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42 A Perspective on Change It must be remembered that there is nothing more difficult to plan, more doubtful of success, nor more dangerous to manage than the creation of a new system. For the initiator of change has the enmity of all who would profit by the preservation of the old institutions and merely lukewarm defenders in those who would gain in the new one.” Who said this??
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