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Community Choice Aggregation Feasibility Analysis Alameda County How Job Impacts Are Measured The scenario-specific elements described in the prior section are expressed as annual dollar amounts(plus or minus) in comparison to what would have been expected in the county economy without a CCA. Initially these amounts supplied by MRW and Tierra are general, representing total project cost by year. The annual investment for specific types of renewable energy projects and of making further energy-efficiency improvements are really comprised of some portion spent on installation labor, a large portion for the equipment(either manufactured in the region or if not, a leakage to imports), and some small portion soft project costs. These details are necessary for modeling impacts on the county economy due to a CCA program. A macroeconomic impact(industry) forecasting model of Alameda County45 is used, the dollar amounts, with further data refinement(detail) are introduced to the model, the economy adjusts to these spending and savings changes by year and then identifies annual impacts in terms of dollar concepts (wages, sales,prices, gross regional product) and jobs, among numerous other metrics. Appendix E provides some high-level background on the REMI Policy Insight model. This model was chosen since it is uniquely qualified over other models and approaches to understand how price(or rate) changes on the business segment(Commercial/Industrial energy customers) influence business activity levels. Since electric rate differentials are a key consideration in pursuing a CCA, the study required a method that would adequately address this. Scenario Results MRW created the three supply scenarios by considering how much within county RE investment (for future generating assets) the CCA could fund, and how much it might invest elsewhere in California(rest of California or"roCA"). Program administration and energy efficiency deployment investments are the same in all three scenarios. As can be seen from Table 17, scenario 3 has the most proposed CCA renewables investment within county but, it has the lowest bill savings. In contrast scenario 1 would site a smaller renewables investment by the CCA as within county, but has proportionally much higher bill savings. u The model is a Policy Insight model by Regional Economic Models,Inc.(REMI)of Amherst,MA.It is a model that has been used by the CA Energy Commission,CALTrans,Los Angeles MTA,ABAG,City of San Francisco, and the South Coast AQMD.For this study a two-region socio-economic forecasting model(the county,and balance of State)with 23-industries was used. July,2016 35 MRW&Associates,LLC