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Community Choice Aggregation Feasibility Analysis Alameda County <br /> report, is typically 55% more costly than central solar. This increased cost will narrow the <br /> difference between the rates that the CCA can offer and PG&E. Still, as the analysis has shown, <br /> there is significant financial "headroom"to allow for this. <br /> To explore this, we ran Scenario 2 with the assumption that 50%of the renewables were locally <br /> sourced. This implies that in 2025, there would be about 925 MW small solar(less than 3MW, <br /> including rooftop) and 888 MW large solar in the county(assuming that it can be phased in that <br /> quickly). As shown in Figure 30, the margin between the CCA's costs (bars) and the projected <br /> PG&E generation rates is much closer than in the standard Scenario 2. This is not unexpected, as <br /> local renewables are assumed to be costlier than large-scale ones located in lower-cost areas of <br /> the state. <br /> Figure 30. Scenario 2 with 50% of the Renewables Met Using In-County Generation <br /> 12 <br /> 10 <br /> PCIA <br /> L PA■GHG <br /> v <br /> � 6 <br /> Y <br /> 0/M <br /> Non-Renewable <br /> 4 8 Renewable <br /> —PG&E <br /> 2 <br /> 0 <br /> 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 <br /> The impacts on the macroeconomics are more complex. Additional local solar would increase <br /> local direct jobs by employing more workers to install and maintain solar arrays. On the other <br /> hand, the greater driver of jobs, the bill savings from reduced rates, would go down with the <br /> increased CCA costs. While this scenario was not explicitly modeled, the results of the three <br /> scenarios at were model strongly suggest that total economic activity and jobs would decrease <br /> with the inclusion of more local renewables in the CCA's supply portfolio. <br /> July,2016 54 MRW&Associates,LLC <br />