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Prepared by: Roger Levy; Levy Associates 1 USCL Corporation California SPP Results Initiative on Demand Pricing and Critical Peak Pricing July 2004 USCL Corporation Prepared by: Roger Levy; Levy Associates
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Prepared by: Roger Levy; Levy Associates 2 USCL Corporation Residential and Commercial / Industrial customers don't understand their current rates. Both groups overwhelmingly prefer the Critical Peak rates to their existing rates. Both groups respond to these rates with substantial peak load reductions Both groups respond to these rates with reduced overall energy use. A majority (roughly 80%) of all customers will see reduced monthly energy bills on the Critical Peak rates. Those that don’t are being charged for their peak load. Results From the California State Pricing Pilot (SPP) Generally Show:
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Prepared by: Roger Levy; Levy Associates 3 USCL Corporation California Vision Rule Making CPUC, CEC, CPA joint proceeding June 2002 [CPUC R.02-06-001, CEC 02-Demand Response-01] CPUC, CEC, CPA joint proceeding June 2002 [CPUC R.02-06-001, CEC 02-Demand Response-01] How 1.Install advanced [interval capable] meters with communication links on all customers. 2.Establish Critical Peak Pricing as the default tariff for all customers. 3.Provide customers with options to ‘opt-out’ to real-time pricing or risk adjusted time-of-use, non-time varying tiered or other rate forms. 1.Install advanced [interval capable] meters with communication links on all customers. 2.Establish Critical Peak Pricing as the default tariff for all customers. 3.Provide customers with options to ‘opt-out’ to real-time pricing or risk adjusted time-of-use, non-time varying tiered or other rate forms. 1 Objectives 1.Improve system reliability and reduce energy costs by encouraging demand response. 2.Provide customers with options to manage costs. 1.Improve system reliability and reduce energy costs by encouraging demand response. 2.Provide customers with options to manage costs.
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Prepared by: Roger Levy; Levy Associates 4 USCL Corporation Problems 1.California utilities concerned that prior 25 years of pricing and demand response research not applicable. 2.California utilities need up-to-date demand elasticities to estimate system resource and procurement impacts. 3.The cost to implement advanced metering system wide requires a complete and thorough business case evaluation. Solution Statewide Pricing Pilot (SPP)
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Prepared by: Roger Levy; Levy Associates 5 USCL Corporation SPP Conclusions 1.Rates that reflect market price (Critical Peak Pricing), produce greater conservation and demand response impacts than TOU or inverted tier rate forms. 2.Residential and commercial/industrial customers with demands less than 200kW demonstrate substantial, statistically significant response to critical peak pricing. 3.Critical Peak rates will produce short-run residential peak demand reductions of 2,000 MW or more, energy conservation of up to 7% and even greater impacts in the long-term. At $85 per kW-year, these savings equal $3-$4 per customer per month. 4.Customers understand and respond favorably to Critical Peak rates. 5.At least 50% of residential customers will receive a lower energy bill under Critical Peak Pricing without any change in usage. Another 20% to 30% of residential customers will receive a lower energy bill under Critical Peak Pricing with only minor changes in usage. 6.The net investment to implement the advanced metering infrastructure to support Critical Peak Pricing should result in incremental residential charges substantially less than $1.00 per meter per month.
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Prepared by: Roger Levy; Levy Associates 6 USCL Corporation California Vision – The Results Costs & Benefits Utility Business Case for Advanced Metering Major Issues System Impacts System Wide - Procurement impacts Conservation / Peak Load Impacts Demand Elasticities Customer Response Customer Understanding Customer Preferences Bill Impacts
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Prepared by: Roger Levy; Levy Associates 7 USCL Corporation System Impacts SPP Conclusions CPP rates can, within five years of deployment reduce the California’s residential peak load by 2,000 to 2,400 MW. System Wide Procurement Impacts SPP Results CPP-V rates encourage greater conservation and peak demand impacts than conventional inverted tier, TOU or CPP-F rates. Conservation and Peak Load Impacts SPP Results 1.SPP short-run own-price demand elasticities are consistent with 25 years of historical findings in California and elsewhere. 2.Historical long-run own-price demand elasticities are typically about double short- run elasticities. Demand Elasticities SPP Results Confidence in Conclusion Need for Further Tests High Moderate Low None Useful Essential High Moderate Low None Useful Essential High Moderate Low None Useful Essential High Moderate Low None Useful Essential
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Prepared by: Roger Levy; Levy Associates 8 USCL Corporation California Vision – The Results RESIDENTIAL CUSTOMERS
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Prepared by: Roger Levy; Levy Associates 9 USCL Corporation 1.Customers show significant response to both the CPP-F and CPP-V rates 2.Impacts are higher in the hotter zones for both CPP and non CPP days 3.Responses are substantially higher on CPP days than on non-CPP days 4.For all zones, the CPP day impact is -12% and the non-CPP day impact is –2.3% 5.CPP day impacts differ slightly between the two experimental rates within the CPP-F rate 6.Results are generally similar across the two functional forms tested in this study 7.Customers do not respond to TOU rates Source: SPP Summer 2003 Update Analysis, Charles Rivers Associates, June 9, 2004. SPP Conclusions Conservation and Peak Load Impacts SPP Results RESIDENTIAL
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Prepared by: Roger Levy; Levy Associates 10 USCL Corporation Historical FindingsSPP Findings Residential customer elasticities were higher than those for commercial customers. Confirmed. Residential customer elasticities were typically higher for customers with higher usage, more appliances, and air conditioning load. Confirmed. Price response was typically significantly higher – approximately double – when automated control capability was available. Confirmed. Customers typically reduced total consumption by around three percent, with the range from zero percent to as high as 23 percent. Confirmed. Customers reduced peak demands by a four percent (low end of time-of-use range) to 59 percent (high end of critical peak pricing range). Confirmed. Commercial customer elasticities varied widely by business type. Confirmed. Customer Response to Price What Have We Learned ? Source: Proposed Pilot Projects and Market Research to Assess the Potential for Deployment of Dynamic Tariffs for Residential and Small Commercial Customers, Report of Working Group 3 to Working Group 1, R.02-06-001, Final Version 5, December 10, 2002, p25. Conservation and Peak Load Impacts SPP Results RESIDENTIAL
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Prepared by: Roger Levy; Levy Associates 11 USCL Corporation 71.5 23.7 7.5 51.7 21.3 11.0 61.0 22.5 9.4 0 10 20 30 40 50 60 70 80 Cents / kWh CPP-F High RatioCPP-F Low RatioAverage Residential Price For Consumers At Midpoint of Tier 3 (Weighted Average, Climate Zone 2) CPP PeriodPeak PeriodOff-Peak Period Control Group Average Price 13.3 cents/kWh RESIDENTIAL Conservation and Peak Load Impacts SPP Results Rates
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Prepared by: Roger Levy; Levy Associates 12 USCL Corporation SPP Residential Rate Forms ( Example TOU & CPP High Options ) Conservation and Peak Load Impacts SPP Results CPP Tariff- (high)TOU Tariff- (high) $0.7336 $0.2336 $0.0886 0 10 20 30 40 50 60 70 80 Cents per kWh Existing Rates Avg. Summer Price 13.36 ¢/kWh $0.2596 $0.1026 2:00-7:00pm Weekdays Other Weekday & Weekend hours 2:00-7:00pm Weekdays Other Weekday & Weekend hours Dispatched 2:00-7:00pm 1,500 hrs/yr7,260 hrs/yr Maximum 75 hrs/yr 1,425 hrs/yr7,260 hrs/yr Critical Peak Summer Peak Summer Off-Peak RESIDENTIAL
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Prepared by: Roger Levy; Levy Associates 13 USCL Corporation SPP Residential Rate Options System Wide Potential Peak Demand Impacts Source: Charles Rivers Working Group 3 presentation, March 30, 2004. System Wide Procurement Impacts SPP Results RESIDENTIAL
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Prepared by: Roger Levy; Levy Associates 14 USCL Corporation Probabilistic System Wide CPP Residential Potential Peak Demand Impacts Source: Charles Rivers Working Group 3 presentation, March 30, 2004. Assumptions: Illustrative CPP and TOU rates are constructed, building upon the rates used in the SPP; the rates are revenue neutral for the typical California investor-owned utility residence Marginal capacity cost of $85/kW-year are used in the analysis, along with energy costs of 15¢ /kWh in the CPP period, 4.7¢ /kWh in the peak period, and 4.0 ¢ /kWh in the off peak period. The pure CPP rate will reduce the state’s residential peak load by 2,400 MW in the year 2007 with a probability of 50% and almost certainly meet that target by the year 2012 Avoided MW – All Weather Zones 0.00 0.90 0.80 0.70 0.60 0.50 0.40 0.30 0.20 0.10 1.00 1,7582,0582,3582,6582,958 MW Probability of DR Impact 2007 2012 The pure CPP rate will reduce residential peak load by 2,000 MW in the year 2007 with a probability of 95% and almost certainly meet that target by the year 2012 System Wide Procurement Impacts SPP Results RESIDENTIAL
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Prepared by: Roger Levy; Levy Associates 15 USCL Corporation The pure CPP rate will almost certainly produce more than a billion dollars worth of Total Resource Cost benefits. Note: TRC benefit estimates exclude utility operating savings. System Wide Pricing Impacts Demand Response Dollar Value of Impacts Source: Charles Rivers Working Group 3 presentation, March 30, 2004. System Wide Procurement Impacts SPP Results RESIDENTIAL
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Prepared by: Roger Levy; Levy Associates 16 USCL Corporation Residential Coincident Critical Peak Demand Impacts By SPP Rate Treatment Source: Statewide Pricing Pilot Summer 2003 Impact Analysis, Charles Rivers Associates, March 9, 2004. 0% 10% 20% 30% 40% 50% Peak Load Reduction 49.4% 19.5% CPPF (Critical Peak Fixed) 23.5% TOU (Time-of Use) CPPV (Critical Peak Variable w/Automated Controls) Conservation and Peak Load Impacts SPP Results RESIDENTIAL
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Prepared by: Roger Levy; Levy Associates 17 USCL Corporation Percent Change In Energy Use By Rate Period For Average Experimental Prices On Non-CPP Days -9.3 -2.3 3.8 2.2 3.8 -6.2 1.2 4.3 7.3 4.2 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 Zone 1Zone 2Zone 3Zone 4All % Change In kWh Peak PeriodOff-Peak Period Source: SPP Summer 2003 Update Analysis, Charles Rivers Associates, June 9, 2004. Conservation and Peak Load Impacts SPP Results RESIDENTIAL
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Prepared by: Roger Levy; Levy Associates 18 USCL Corporation Percent Change In Energy Use During The Peak Period On CPP Days By Price Ratio -23.5 -11.5 -8.1 -17.8 -11.7 -24.5 -5.1 3.4 -1.9 -22.8 -30 -25 -20 -15 -10 -5 0 5 Zone 1Zone 2Zone 3Zone 4All % Change In kWh High RatioLow Ratio Source: SPP Summer 2003 Update Analysis, Charles Rivers Associates, June 9, 2004. Conservation and Peak Load Impacts SPP Results RESIDENTIAL
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Prepared by: Roger Levy; Levy Associates 19 USCL Corporation Conservation vs. Peak Period Impacts By SPP Rate Form Source: Statewide Pricing Pilot Summer 2003 Impact Analysis, Charles Rivers Associates, March 9, 2004. Peak Period kWh Impacts ( Example: Weather Zone 3 ) 0 - 4 - 6 - 8 - 10 - 2 Conservation Non-Critical Days Peak Period Impact Demand Response Critical Days Peak Period Impact -0.5 -1.4 -3.6 -3.3 -1.9 -2.0 -5.4 -9.9 kWh Period Impact CPPF TOU CPPV, Smart Thermostat CPPV, > 600 kWh/mo Conservation and Peak Load Impacts SPP Results RESIDENTIAL
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Prepared by: Roger Levy; Levy Associates 20 USCL Corporation -38.8-28.0 CPP - Variable -22.0-9.4 CPP – Fixed -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 SPP Impacts on Peak Consumption and Coincident Peak Demand Source: Statewide Pricing Pilot, Summer 2003 Impact Analysis, Charles Rivers Associates, January 16, 2004, Tables 1-1 and 1-2. Conservation and Peak Load Impacts SPP Results
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Prepared by: Roger Levy; Levy Associates 21 USCL Corporation Conservation and Peak Load Impacts SPP Results Weather Related Impacts Load Impacts CPP Days (Percentage Change in Usage) 4.8 5.1 -13.4 3.1 -16 -9.7 -20 -15 -10 -5 0 5 10 Peak PeriodOff-Peak Period % Change In kWh AverageTop QuintileBottom Quintile Interpreting This graph: As seen, the percent reduction in peak-period energy use on CPP days based on average weather for the treatment period is 13.4 percent. Based on weather conditions representing the top 20 percent of CPP days (as measured by system load conditions), the percent reduction is –16 percent, whereas the reduction falls to 9.7 percent on the cooler, lowest system-load days. Source: Charles Rivers Associates Analysis memo, June 24, 2004.
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Prepared by: Roger Levy; Levy Associates 22 USCL Corporation Conservation and Peak Load Impacts SPP Results Weather Related Impacts Load Impacts Non-CPP Days (Percentage Change in Usage) Source: Charles Rivers Associates Analysis memo, June 24, 2004. 4.7 4.8 -2.4 4.2 -4.8 -2 -6 -4 -2 0 2 4 6 Peak PeriodOff-Peak Period % Change In kWh AverageTop QuintileBottom Quintile Interpreting This graph: On non-CPP days, the percent reduction in peak-period energy use is 4.8 percent based on weather conditions representing high-load days and 2 percent on low- load days.
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Prepared by: Roger Levy; Levy Associates 23 USCL Corporation -20.2 -16 -2.6 -14.6 -9.7 -25.3 -7.2 0.02 -1.4 -21.2 -30 -25 -20 -15 -10 -5 0 5 Zone 1Zone 2Zone 3Zone 4All % Change In kWh Top QuintileBottom Quintile Conservation and Peak Load Impacts SPP Results Weather Related Impacts Load Impacts By Weather Zone on CPP Days (Percentage Change in Usage) Source: Charles Rivers Associates Analysis memo, June 24, 2004. Interpreting This graph: This graph shows the variation in percentage impacts across climate zones for peak-period energy use on CPP days. The percent impact is clearly much larger in the hotter climate zones than in the cooler zones. However, the change in the percentage impact between the top and bottom quintile load days is greater in zone 2 than it is in zones 3 and 4.
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Prepared by: Roger Levy; Levy Associates 24 USCL Corporation -2.04 -1.09 -0.09 -0.78 -0.41 -3.11 -0.35 0 -0.04 -1.25 -3.5 -3 -2.5 -2 -1.5 -0.5 0 Zone 1Zone 2Zone 3Zone 4All Change In kWh Top QuintileBottom Quintile Conservation and Peak Load Impacts SPP Results Weather Related Impacts Load Impacts By Weather Zone on CPP Days (Change in Actual kWh) Source: Charles Rivers Associates Analysis memo, June 24, 2004. Interpreting This graph: This graph shows the absolute impact, in kilowatt-hours, resulting from the SPP prices by climate zone and for the state as a whole. Clearly, the difference in the absolute impact on high-load and low-load days is much larger than the difference in percentage impacts, as customers in the hotter zones are both more responsive high-load days and larger energy users. When these two factors are combined, the impact on high load days in zone 2 is nearly four times higher than on low-load days. In zones 3 and 4, the impact is roughly 2½ times higher on high-load days than on low-load days. Statewide, the impact is roughly 2.7 times higher on high-load days than on low-load days. It is also worth noting that the absolute impact on high-load days in the hottest zone 4 is almost nine times greater than the impact in the moderate zone 2.
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Prepared by: Roger Levy; Levy Associates 25 USCL Corporation California Vision – The Results COMMERCIAL / INDUSTRIAL CUSTOMERS
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Prepared by: Roger Levy; Levy Associates 26 USCL Corporation SPP Commercial / Industrial Rate Forms ( TOU & CPP High Options ) Conservation and Peak Load Impacts SPP Results Average Prices For C&I Customers During Treatment Period ($/kWh) Customer Segment Rate Treatment Price Ratio Non-CPP DayCPP-Day Peak Period Off-Peak Period Peak Period Off-Peak Period LT20Controln/a0.186 TOUHigh0.2720.0940.2720.094 Low0.3250.1590.3250.159 CPP-VHigh0.2000.0951.070.091 Low0.2560.1690.8130.166 GT20Controln/a0.154 TOUHigh0.2240.1000.2240.100 Low0.2540.1440.2540.144 CPP-VHigh0.1870.0860.8200.084 Low0.2120.1370.6290.136 Source: SPP Summer 2003 Update Analysis, Charles Rivers Associates, June 9, 2004. Commercial / Industrial
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Prepared by: Roger Levy; Levy Associates 27 USCL Corporation Price For Typical C&I Customer On CPP-V Rate (Weighted Average For Treatment Customers) 106.0 20.0 9.5 80.4 25.6 16.9 81.6 18.7 8.6 62.5 21.1 13.7 0 20 40 60 80 100 120 cents/kWh LT20-High RatioLT20-Low RatioGT20-High RatioGT20-Low Ratio CPP PeriodPeak PeriodOff-Peak Period Control Group Average Price 15.3 cents/kWh Control Group Average Price 18.3 cents/kWh Source: SPP Summer 2003 Update Analysis, Charles Rivers Associates, June 9, 2004. Conservation and Peak Load Impacts SPP Results Commercial / Industrial
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Prepared by: Roger Levy; Levy Associates 28 USCL Corporation Percent Change In Energy During Peak Period (Average Experimental Prices On CPP Days) -26 -14.7 -27.8 -9.1 -13.3 -33.1 -25.2 -11.3 -35 -30 -25 -20 -15 -10 -5 0 LT20 kW Separate Dispatch GT20 kW Separate Dispatch LT20 kW Common Dispatch GT20 kW Common Dispatch % Change In kWh Log-Log Specification CES Specification * Estimates for the CPP-V tariff may not represent the impacts of the general population of customers Source: SPP Summer 2003 Update Analysis, Charles Rivers Associates, June 9, 2004. Conservation and Peak Load Impacts SPP Results Commercial / Industrial
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Prepared by: Roger Levy; Levy Associates 29 USCL Corporation Percent Change In Energy Use By Rate Period For Average Experimental Prices On CPP Days (Based on Log-Log Model) -26 7 5.7 -9.1 -13.3 -33.1 2.1 3.8 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 LT20 kW Separate Dispatch GT20 kW Separate Dispatch LT20 kW Common Dispatch GT20 kW Common Dispatch % Change In kWh Peak Period Off-Peak Period Source: SPP Summer 2003 Update Analysis, Charles Rivers Associates, June 9, 2004. * Estimates for the CPP-V tariff may not represent the impacts of the general population of customers Conservation and Peak Load Impacts SPP Results Commercial / Industrial
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Prepared by: Roger Levy; Levy Associates 30 USCL Corporation Percent Change In Energy Use During Peak Periods On CPP Days By Price Ratio (Based on Log-Log Model) -26.8 -18.9 -24.4 -5.5 -35.7 -30 -15.1 -40 -35 -30 -25 -20 -15 -10 -5 0 LT20 kW Separate Dispatch GT20 kW Separate Dispatch LT20 kW Common Dispatch GT20 kW Common Dispatch % Change In kWh High Ratio Low Ratio Source: SPP Summer 2003 Update Analysis, Charles Rivers Associates, June 9, 2004. Conservation and Peak Load Impacts SPP Results Commercial / Industrial * Estimates for the CPP-V tariff may not represent the impacts of the general population of customers
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Prepared by: Roger Levy; Levy Associates 31 USCL Corporation California Vision – The Results INDUSTRY WIDE EXPERIENCE
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Prepared by: Roger Levy; Levy Associates 32 USCL Corporation 0% 10% 20% 30% 40% 50% Peak Load Reduction 22% Dynamic Pricing (CPP) 32% AC Load Control 45% Dynamic Pricing (CPP) with AC Control Source: ISSUES IN DEMAND RESPONSE, Combining Residential Dynamic Pricing and Load Control: The Literature Chris King, December 2003 Comparison of Pricing Only, Load Control Only and Combined Programs Conservation and Peak Load Impacts Industry Experience
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Prepared by: Roger Levy; Levy Associates 33 USCL Corporation Cost Effectiveness CPP Rates Dominate TOU Rates Source: [ Northern State Power Case Study ] Creating Value Through Dynamic Pricing in Mass Markets, Peak Load Management Alliance Fall Conference, Annapolis, Maryland, Ahmad Faruqui and Steve George, Charles River Associates, October 8, 2002 Industry Experience Conservation and Peak Load Impacts
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Prepared by: Roger Levy; Levy Associates 34 USCL Corporation 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. Demand Elasticities SPP Results Industry Experience
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Prepared by: Roger Levy; Levy Associates 35 USCL Corporation Climate Zone CPP-F CPP Days* CPP-F Non-CPP Days TOU All Weekdays Zone 1 -0.14-0.21+0.03 Zone 2 -0.24-0.26-0.13 Zone 3 -0.34-0.50-0.59 Zone 4 -0.25 -0.27 Statewide Pricing Pilot (SPP) Own-Price Elasticity Results Source: Charles Rivers Associates, SPP Summer 2003 Impact Analysis, January 27, 2004. Climate Zone Short-Run Elasticity 1 Long-Run Elasticity Low -0.12-0.60 Medium -0.20-0.90 High -0.35-1.20 Historical Studies Own-Price Elasticity Results 1. Short-run – customers make no change in appliance holdings. Source: Predicting California Demand Response, Chris King and Sanjoy Chatterjee, Public Utilities Fortnightly, July 1, 2003, p.27-32. Own-Price Elasticity of Demand SPP Compared to Historical Industry Results Demand Elasticities SPP Results Industry Experience
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Prepared by: Roger Levy; Levy Associates 36 USCL Corporation A variety of experiments, quasi-experiments and demonstration programs have been conducted during the past quarter century to assess customer response to innovative pricing options. On average, if the on-peak price is doubled, on-peak usage drops by 20%. The drop in usage varies based on factors such as appliance ownership and climate. Puget Sound Energy has shown that if the on-peak price is raised about 15%, on-peak usage drops by 5%. Salt River Project has shown that coincident peak demand drops by 28% if the on-peak energy price is doubled. GPU has shown that enabling technologies can double the magnitude of customer response. There Is Ample Evidence That US Customers Respond To Dynamic Pricing Rates Source: Creating Value Through Dynamic Pricing in Mass Markets, Peak Load Management Alliance Fall Conference, Annapolis, Maryland, Ahmad Faruqui and Steve George, Charles River Associates, October 8, 2002 Demand Elasticities Industry Experience
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Prepared by: Roger Levy; Levy Associates 37 USCL Corporation Customer Demand Response Estimates Program Type Range of Elasticities Range of Peak Demand Reduction Range of Total Usage Reduction Residential time-of-use -0.05 to -1.3 (SCE; North Carolina) 4% to 35% (Ontario; Duke) 0% to 23% (PG&E; Connecticut) Residential critical peak pricing -0.35 to -0.82 (GPU; EdF France) 42% to 59% (Gulf Power; AEP) 0% to 6.5% (AEP; Gulf Power) Small commercial time-of-use -0.03 to -0.04 (SCE; PG&E) SPP Results in Process 2.1% to 5% (McKinsey multi-utility data; Finland) Small commercial dynamic pricing No studies SPP Results in Process Source: Proposed Pilot Projects and Market Research to Assess the Potential for Deployment of Dynamic Tariffs for Residential and Small Commercial Customers, Report of Working Group 3 to Working Group 1, R.02-06-001, Final Version 5, December 10, 2002, Table 2-2. Demand Elasticities Industry Experience
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Prepared by: Roger Levy; Levy Associates 38 USCL Corporation California Vision – The Results CUSTOMER KNOWLEDGE, PREFERENCES and BILL IMPACTS CUSTOMER KNOWLEDGE, PREFERENCES and BILL IMPACTS
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Prepared by: Roger Levy; Levy Associates 39 USCL Corporation Customer Response SPP Conclusions 1.Customers do not understand the relationship between how they use energy and what they pay. 2.Customers understand and accept the concept of time-differentiated pricing. Customer Knowledge SPP Results 1.Customers resist change due to uncertainty regarding their present usage and billing situation. 2.Residential and business customers support rates that match price with electricity demand. Customer Preferences SPP Results 1.Low and moderate use residential customers will receive reduced energy bills under a CPP rate without any change to their usage pattern because they already use less on-peak energy. 2.CPP rates will provide all customers with a clear option for managing their energy cost. Bill Impacts SPP Results Confidence in Conclusion Need for Further Tests High Moderate Low None Useful Essential High Moderate Low None Useful Essential High Moderate Low None Useful Essential
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Prepared by: Roger Levy; Levy Associates 40 USCL Corporation “..most respondents could easily understand the logic of time-differentiated electricity prices,..” 1 “..customers understood time-differentiated pricing (at least the on-peak / off-peak variety) more easily than they understood the notion of inclining block [tiered] or declining block pricing.” 2 Source: 1- Residential Customer Understanding of Electricity Usage and Billing, Momentum Market Intelligence, WG3 Report, January 29, 2004.p16. Conventional vs. Time-Differentiated Pricing Customer Knowledge SPP Results
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Prepared by: Roger Levy; Levy Associates 41 USCL Corporation Customer Knowledge Findings What it means. Customers don’t understand how electricity use is measured. Customers don’t understand how electricity is priced. There is an uncertain and inaccurate link between how customers use energy, what they pay and what they get in service value. Bill accuracy – customer’s must trust their supplier. No other choice. Lack of meaningful feedback on usage and usage pattern. Complicated rates mask the time and/or volume vs. cost relationship. The inability to clearly link cost with value contributes to improper / inefficient usage and impedes better investment decisions. Creates a fragile, tenuous relationship. Results from the SPP 1 What it means 2 Source: 1- Residential Customer Understanding of Electricity Usage and Billing, Momentum Market Intelligence, WG3 Report, January 29, 2004.pviii-ix. 2 – CEC interpretation. Customer Knowledge SPP Results
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Prepared by: Roger Levy; Levy Associates 42 USCL Corporation SPP Customer Rate Preference Source: SPP End-of-Summer Survey Report, Momentum Market Intelligence, WG3 Report, January 21, 2004, p23-24. Customer Preferences SPP Results Original Inverted Tier RateTime-Differentiated Rate Residential CPP-V CPP-F TOU 80% 81% 20% 23% 19% Commercial CPP-V TOU 77% 71% 70% 2040608020406080 30% 29% Percent that Prefer 0
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Prepared by: Roger Levy; Levy Associates 43 USCL Corporation Customer Resistance to Change Justification for a Revised Default Tariff “Having to change plans, however, is not viewed as a good thing but rather as a necessary step when a given plan turns out to not work as well as had been anticipated.” 1 “The implication for electricity pricing plans is to recognize that customers do not tend to adopt such plans with the notion that they are willing to ‘trial’ options and ‘see how they work out’.” 2..several participants claimed to be on a TOU rate, derived from the “Flex Your Power” advertising campaign. They were delaying some electric usage until evenings and weekends – they believed they were paying less for electricity during those times. 3 Customer Preferences SPP Results Source: SPP End-of-Summer Survey Report, Momentum Market Intelligence, WG3 Report, January 21, 2004, p 15.
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Prepared by: Roger Levy; Levy Associates 44 USCL Corporation Average Bill Impacts Residential and Commercial / Industrial Savings (summer / winter 2003) Bill Impacts SPP Results CPPVCPPFTOU Info Only Participants (%)71.1%73.7%70.0%79.0% Average Monthly Savings (%) 5.1%5.5%4.5%5.4% Average Monthly Savings ($) $53$35$29$19 CPPVTOU 80.3%58.2% 12.2%9.6% $1,521$869 Participants (%)28.9%26.3%30.0%21.0% Average Monthly Increase (%) 4.0%6.2%3.0%10.0% Average Monthly Increase ($) $39$44$30$9 19.7%41.8% 5.0%10.0% $224$600 Residential Commercial / Industrial Bill Savings Bill Increases Source: Statewide Pricing Pilot, Shadow Bill Results, WG3 report, June 9, 2004.
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Prepared by: Roger Levy; Levy Associates 45 USCL Corporation Potential Impacts from Systemwide Implementation Existing Inverted Tier vs. SPP CPP Rate (Summer) ( Assumes no customer response ) Bill Impacts SPP Results $20 $120 $100 $80 $60 $40 MONTHLY SUMMER BILL ($) Typical Utility Residential Population 2 TURN Target Group 1 321 kWh/Mo Low User 286 kWh/Mo Low User 562 kWh/Mo Moderate User 923 kWh/Mo High User $39.58 $37.59 $35.26 $33.08 $69.29 $70.67 $113.81 $119.71 Inverted Tier CPP Rate Baseline = 373 kWh Savings $1.99 Savings $2.18 Increase $1.38 Increase $5.90 1. Target Population identified: Financial Externalities and “Peak Hogs”: New Consideration for Energy Efficiency and Rate Design Policy, by William B. Marcus, Principle Economist, JBS Energy, Inc., March 2001. 2. Target Population identified from PG&E SPP rate design exercise.
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Prepared by: Roger Levy; Levy Associates 46 USCL Corporation Typical Utility Residential Population by Average Monthly Electric Usage Customer Bill Impacts Bill Impacts SPP Results
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Prepared by: Roger Levy; Levy Associates 47 USCL Corporation California Vision – The Results Cost Benefit Issues
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Prepared by: Roger Levy; Levy Associates 48 USCL Corporation Costs & Benefits Advanced Metering Infrastructure System Cost SPP Issue Cost Allocation SPP Issue Outsourcing SPP Issue Full system wide deployment is too expensive. Implementation should be targeted to select customers or programs. Concern: Response: U.S. utilities have deployed over 15 million units based on utility operating savings alone. Small customers will be adversely and disproportionately impacted by monthly fixed meter charges. Concern: Response: Allocating meter costs using kWh usage reduces monthly impacts to under $0.50. Outsourcing offers no benefits to utilities. Concern: Response: Two-thirds of U.S. deployments are outsourced at lower cost and risk to the utility.
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Prepared by: Roger Levy; Levy Associates 49 USCL Corporation Infrastructure System Cost SPP Issue Advanced Metering Improved Data Access Impacts all Utility Functions Data Preparation [VEE] System Operations Meter Maintenance Customer Service Accounting and Billing Energy Information Services Demand Response Management Demand Response Management Work Order Processing ESCO Services ESCO Services Service Calls Service Calls Meter Reading Meter Reading System Dispatch System Dispatch Load Forecasts Load Forecasts Energy Reconciliation Energy Reconciliation Settlements EMS Services EMS Services Performance Monitoring Performance Monitoring Outage Management Outage Management Marketing Support Marketing Support Cash Management Cash Management Theft Management Theft Management Electronic Billing and Presentment Electronic Billing and Presentment Rate Design Rate Design Data Warehouse
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Prepared by: Roger Levy; Levy Associates 50 USCL Corporation Infrastructure System Cost SPP Issue Advanced Metering Establishing the Business Case UTILITY CUSTOMER SOCIETY Business Case Perspective Emphasis Operational Costs Operational Savings System Integration Value of Services Value of Information Bill Management Value of Information Responsiveness Risk Management Traditional Scope Expanded Scope Protect Revenue Requirement Improve Value of Service Reduce Total System Cost
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Prepared by: Roger Levy; Levy Associates 51 USCL Corporation Meter System Costs (Example) Residential Commercial Industrial Solid State Meter and communication module $45-$75$50-$800 Installation Cost $5-$150$10-$300 Information and Communication Systems * $10-$40 Total $ Cost per Meter $85-$265$90-$1,000 Infrastructure System Cost SPP Issue Per Customer / Month Incremental Cost $1.00 to $1.50 per meter Today’s Metering Cost $2.50 - $3.50 / meter / month Source: WG3, industry presentation, 2003.
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Prepared by: Roger Levy; Levy Associates 52 USCL Corporation Infrastructure System Cost SPP Issue Advanced Metering - Utility Benefits Cumulative Utility Benefits $0.00 $1.00 $2.00 $3.00 $4.00 $5.00 $6.00 $7.00 Monthly Benefits Per Meter Field Service Administrative Customer Service System Operations +++ $5.69 $7.34 $7.76 Low Benefit High Benefit $1.65 $0.72 $0.95 $1.15 $1.22 Source: “Capturing the Value: The Future of Advanced Metering and Energy Information”, Cambridge Energy Research Associates (CERA), Final Report, Spring 1999, Chapter VI, Figure VI-6 (Levy Associates Working papers). Industry Experience
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Prepared by: Roger Levy; Levy Associates 53 USCL Corporation Electric System Benefits Puget Sound Energy Electric System Benefits Puget Sound Energy 47% 8% 6% 4% 27% 4% Meter Reading Diversion Process Improvement Call Center Outage Management Revenue Enhancement Other Source: California Experiential Workshop, Presentation by Puget Sound Energy, Brian Pollom and Todd Starnes, September 10, 2002. Infrastructure System Cost SPP Issue Industry Experience
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Prepared by: Roger Levy; Levy Associates 54 USCL Corporation Infrastructure System Cost SPP Issue Industry Experience Advanced Metering - 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 510152025 Source: “Distribution Technology Roadmap”, Report for the Canadian Electrical Association & Consortium, by Cap Gemini Ernst & Young, U.S. LLC, 2003.
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Prepared by: Roger Levy; Levy Associates 55 USCL Corporation Reduce System Meter Reading Costs NOYES Improve Billing Information, Reduce Estimated Bills LIMITEDYES Improve Financial Management NOYES Reduce / Improve Call Center Operation NOYES Reduce Diversion and Theft LIMITEDYES Improve System Outage Response NOYES Better Information for Planning, Forecasting & Evaluation LIMITEDYES Better Information for T&D Planning / Management LIMITEDYES Expanded Demand Response Planning and Evaluation LIMITEDYES System-Wide Implementation Improved Utility Operations Targeted Implementation 1 2 3 4 5 6 7 8 9 B Infrastructure System Cost SPP Issue Advanced Metering Full vs. Targeted Deployment – Impact on Benefits (Example)
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Prepared by: Roger Levy; Levy Associates 56 USCL Corporation 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
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Prepared by: Roger Levy; Levy Associates 57 USCL Corporation Meter System Economics Financing Impacts on NPV and Payback Source: Private communication between Levy Associates and Invensys, background data for a utility highlighted at the Distributech 2001 Utility Conference. Outsourcing SPP Issue
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Prepared by: Roger Levy; Levy Associates 58 USCL Corporation Next Steps Options 1.Regulatory Process 2.Legislation 3.Settlement 4.Policy Decision
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