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Community Choice Aggregation Feasibility Analysis Alameda County <br />June 2016 x MRW & Associates, LLC <br />In the stress case,7 Alameda CCA customer rates exceed PG&E customer rates on average over the 2017-2030 period for all three scenarios, with the rate differential being highest in Scenario 3 <br />at -1.5¢/kWh. This is double the Scenario 2 stress case rate differential of -0.75¢/kWh. <br /> <br />Figure ES-7. Difference Between PG&E Customer Rates and CCA Customer Rates Under Each Sensitivity Case and Supply Scenario, 2017-2030 Average (i.e., positive vertical axis means PG&E rates higher than CCA rates). <br /> <br />Macroeconomic and Job Impacts <br />The local economic development and jobs impacts for the three scenarios were analyzed using the dynamic input-output macroeconomic model developed by Regional Economic Models, Inc. (REMI). The model accounts for not only the impact of direct CCA activities (e.g., construction <br />jobs at a new solar power plant or energy efficiency device installers), but also how the rate <br />savings that County households and businesses might experience with a CCA ripple through the <br />local economy, creating more jobs and regional economic growth. <br />Table ES-3 and Figure ES-8 illustrate this through high-level results expressed as average annual job changes for the three CCA scenarios. While Scenarios 1 and 2 create nearly identical direct <br />jobs (due to comparable investment in local renewable projects), Scenario 1 creates far more <br />TOTAL jobs. This is due to the higher bill savings under Scenario 1. Scenario 3 creates a few <br />more direct jobs, but far fewer total jobs, due to decreased bill savings as compared to the other two scenarios. As a result, its total job impact is 55 percent of the Scenario 1 total job impact. <br /> <br />7 Stress Scenario assumes the risk cases no favorable to the CCA: High Renewable Prices, High PCIA, High Natural Gas Prices, and Low PG&E rates.