Laserfiche WebLink
Community Choice Aggregation Feasibility Analysis Alameda County <br /> Figure 4: CCA Load Forecast by Class,2017-203013 <br /> 8,000 Energy Efficiency <br /> 7,000 <br /> street Lights+Pumping <br /> 6,000 <br /> 5,000 <br /> c7 <br /> • <br /> 4,000 Commercial <br /> 3,000 <br /> 2,000 <br /> 1,000 <br /> 0 <br /> 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 <br /> To estimate the CCA's peak demand in 2014, MRW multiplied the load forecast for each <br /> customer class by the PG&E's 2014 hourly ratio of peak demand to load for that customer <br /> class.14 MRW extended the peak demand forecast to 2030 using the same growth rates used for <br /> the load forecast. (Peak demand is the maximum amount of power the CCA would use at any <br /> time during the year. It is measured in megawatts (MW). It is important because a CCA must <br /> have enough power plants on(or contracted with) at all times to meet the peak demand.) This <br /> forecast is summarized in Figure 5. <br /> 13 Load forecasted assumes 85%participation. <br /> 14 Data obtained from PG&E's dynamic load profiles for Public,Industrial,Commercial and Residential customers <br /> (https://www.pge.com/nots/rates/tariffs/energy use_prices.shtml)and static load profiles for Pumping and <br /> Streetlight customers(https://www.pge.com/nots/rates/2016_static.shtml#topic2). <br /> July,2016 3 MRW&Associates,LLC <br />