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California Energy Commission California Energy Demand (CED) 2011 Revised Electricity and Natural Gas Forecast February 3, 2012 Chris Kavalec Demand Analysis Office Electricity Supply Analysis Division [email protected] / 916-654-5184 California Energy Commission Changes from Preliminary Forecast • Economic/demographic projections updated (October 2011) • Econometric models re-estimated • Climate change formulation led to higher impacts on peak • Revised (lower) electric vehicle forecast • Incorporation of Television Standards 2 California Energy Commission Statewide Electricity Consumption • Average annual growth of 1.56%, 1.10%, and 0.83% from 2011-2020 in the high, mid, and low scenarios, respectively, compared to 1.29% in the 2009 IEPR forecast (CED 2009) • Lower starting point vs. CED 2009 • Slightly lower in all three scenarios vs. preliminary 2011 forecast (0.73% lower in 2022 in mid case) because of Television Standards, lower electric vehicle forecast, and slightly lower income growth 3 California Energy Commission Electricity Consumption: CED 2011 Revised vs. CED 2009 4 California Energy Commission Electricity Consumption: CED 2011 Revised vs. CED 2011 Preliminary (Mid Case) 5 California Energy Commission Statewide Peak Demand • Average annual growth of 1.97%, 1.58%, and 1.05% from 2011-2020 in the high, mid, and low scenarios, respectively, compared to 1.29% in the 2009 IEPR forecast (CED 2009) • Mid and high case growth higher than CED 2009 because of climate change impacts • Slightly lower in mid and low cases vs. preliminary 2011 forecast (0.39% lower in 2022 in mid case) because of lower starting point. Peak is higher in high demand case vs. preliminary because of higher climate change impacts 6 California Energy Commission Peak Demand: CED 2011 Revised vs. CED 2009 7 California Energy Commission Peak Demand: CED 2011 Revised vs. CED 2011 Preliminary (Mid Case) 8 California Energy Commission Revised Forecast Efficiency Impacts • Programs, standards, and “price and other” effects • Includes impacts from Huffman and Television Standards • Higher by 2022 vs. preliminary forecast (7k GWh in mid case) because of television standards and inadvertent omission of 2005 residential building standards in preliminary • Efficiency savings inversely related to demand outcome 9 California Energy Commission Revised Forecast Efficiency Impacts 10 California Energy Commission Self-generation • Distributed generation and CHP (demand side) • CHP held constant • Residential PV from predictive model, nonresidential using historic trends • Self-gen higher than CED 2009 by 2020 mainly because of residential PV; slightly higher than preliminary forecast because of non-residential adjustment 11 California Energy Commission Self-generation Peak Impacts 12 California Energy Commission Electric Vehicles • Used high and low scenarios from Plug-in Electric Vehicle Collaborative • 500,000 EVs on the road in 2020 in low case, 1 million in high case • Staff extrapolated to 2022, distributed to planning areas based on DMV data • Mid case is average of high and low • Lower forecast than CED 2009 (and preliminary) by 1,600 GWh in mid case (2022) 13 California Energy Commission Electric Vehicle Consumption 14 California Energy Commission Climate Change Impacts on Peak Demand LADWP PGE SCE SDGE SMUD State 2015 2020 2022 2015 2020 2022 2015 2020 2022 2015 2020 2022 2015 2020 2022 2015 2020 2022 Annual Maximum Average631 (°F), Mid Demand Scenario Annual Maximum Average631 (°F), High Demand Scenario Peak Impact, Mid Scenario (MW) Peak Impact, High Scenario (MW) 84.0 84.5 84.7 86.0 86.4 86.6 86.2 86.6 86.8 78.6 79.0 79.2 85.4 85.7 85.9 ---- 84.2 85.0 85.2 86.1 86.6 86.8 86.3 87.0 87.2 78.6 79.1 79.3 85.6 86.2 86.5 ---- 35 83 105 114 277 348 121 293 368 27 66 84 13 31 39 316 768 965 54 131 165 143 349 440 171 421 533 28 70 88 23 57 72 430 1,056 1,334 15 California Energy Commission CED 2011 Revised vs. Pure Econometric Forecast • Econometric forecasts slightly higher: (consumption 1 percent higher and peak 2 percent higher in 2022 in mid case) • Differences come from aggregate vs. disaggregate approaches and accounting for efficiency • Goal is to explicitly account for efficiency in econometric models for better comparison 16 California Energy Commission Consumption: CED 2011 Revised vs. Pure Econometric Forecast (Mid Case) 17 California Energy Commission Peak: CED 2011 Revised vs. Pure Econometric Forecast (Mid Case) 18