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Community Choice Aggregation Feasibility Analysis Alameda County <br /> Figure 3. PG&E's 2014 Bundled Load in Alameda County by Rate Class <br /> Street lights+ <br /> Pumping <br /> Public I 1% <br /> 8% - <br /> 4Residential <br /> I <br /> 1= 33% 1 <br /> C ommercid! <br /> qC^ro I <br /> To estimate CCA loads from PG&E's 2014 bundled loads, MRW assumed a CCA participation <br /> rate of 85% (i.e., 15% of customers opt to stay with PG&E) and a three-year phase in period <br /> from 2017 to 2019, with 33% of potential CCA load included in the CCA in 2017, 67% in 2018, <br /> and 100% in 2019. To forecast CCA loads through 2030, MRW used a 0.3% annual average <br /> growth rate, consistent with the California Energy Commission's most recent electricity demand <br /> forecast for PG&E's planning area.12 This growth rate incorporates load reductions from energy <br /> efficiency of about 6 GWh per year from 2021 through 2030. <br /> The CCA load forecast is summarized in Figure 4, which shows annual projected CCA loads by <br /> class,with the energy efficiency savings that are included in the forecast indicated by the top <br /> (yellow) segment. <br /> '2 California Energy Commission.Form 1.1c California Energy Demand Updated Forecast,2015 -2025,Mid <br /> Demand Baseline Case,Mid AAEE Savings.January 20,2015 <br /> http://www.energy.ca.gov/2014_energypolicy/documents/demand_forecast_cmf/LSE_and_BA/ <br /> July,2016 2 MRW&Associates,LLC <br />