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10A Action Items 2016 1121
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10A Action Items 2016 1121
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11/16/2016 5:08:45 PM
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CM City Clerk-City Council
CM City Clerk-City Council - Document Type
Agenda
Document Date (6)
11/21/2016
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Reso 2016-160
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\City Clerk\City Council\Resolutions\2016
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Community Choice Aggregation Feasibility Analysis Alameda County <br />June, 2016 3 MRW & Associates, LLC <br />Chapter 2: Economic Study Methodology and Key Inputs <br />The section summarizes the key inputs and methodologies used to evaluate the cost-effectiveness and cost-competitiveness of the CCA under different scenarios. It considers the requirements that <br />an Alameda County CCA would need to meet, the resources that the County has available or <br />could obtain to meet these requirements, and the PG&E rates that the CCA would be competing <br />against. It also describes the pro forma analysis methodology that is used to evaluate the <br />financial feasibility of the CCA. <br />Understanding the interrelationships of all the tasks and using consistent and coherent <br />assumptions throughout are critical to delivering a quality work product. Figure 1 shows the <br />analysis elements (blue boxes) and major assumptions (red ovals) and how they relate to each <br />other. As the figure illustrates, there are numerous integrations between the tasks. For example, <br />the load forecast is a function of not only the load analysis, but also of projections of economic activity in the county and outcome of the energy efficiency analysis. <br />Two important points are highlighted in this figure. First, it is critical that wholesale power <br />market and prices assumptions are consistent between the CCA and PG&E. While there are <br />reasons that one might have lower or higher costs than the other for a particular product (e.g., <br />CCAs can use tax-free debt to finance generation projects while PG&E cannot), both will participate in the wider Western US gas and power markets and therefore will be subject to the <br />same underlying market forces. To apply power cost assumptions to the CCA than to PG&E, <br />such as simply escalating PG&E rates while deriving the CCA rates using a bottom-up approach, <br />will result in erroneous results. Second, virtually all elements of the analysis feed into the <br />economic and jobs assessment. As is described in detail in Chapter 5, the Study here uses a state-of-the art macroeconomic model that can account for numerous activities in the economy, which <br />allows for a much more comprehensive—and accurate—assessment than a simple input-output <br />model. <br />
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