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<br /> <br />resource acquisition process, but in other <br />resource planning functions as well. ' <br /> <br />Selection of Modeling Tools <br /> <br /> <br />It was necessary initially to identify <br />the modeling tools to be used and to select <br />appropriate models to develop or modify <br />for the proof-of-concept analysis. As a <br />first step, a research and literature review <br />of software tools, methodologies, and <br />modeling approaches was undertaken, <br /> <br />Several modeling approaches were <br />considered for evaluating replacement <br />power alternatives. These ranged from <br />production cost models, to capacity <br />expansion models based on linear or <br />dynamic programming. Use of a spread- <br />sheet to calculate levelized-costs was also <br />considered as a simplified modeling <br />approach. The preferred modeling <br />approach identified for the replacement <br />resources acquisition process is use of a <br />spreadsheet model for resource screening <br />and a production cost model for integrated <br />analysis, <br /> <br />The diversity of pricing structures <br />and other replacement resource charac- <br />teristics will make it difficult to determine <br />the lowest cost alternative through simple <br />review. On the other hand, preparing a <br />detailed and time-consuming integrated <br />analysis for all responses received would <br />be too time-consuming. <br /> <br />, <br />To limit the number of alternatives <br />evaluated in detail, a screening analysis <br />was developed that provides a straightfor- <br />ward method to process the basic data, <br />represent each alternative on a consistent <br />basis, and create an economic ranking of <br />the alternatives based on the estimated <br />levelized per-unit cost at different capac- <br />ity factors. Based on the results of the <br />screening analysis, Western can select the <br />alternatives to be evaluated in detail using <br /> <br />a fair and objective process, <br /> <br />The production cost model, <br />MULTISYM, was selected for performing <br />the detailed integrated analysis of replace- <br />ment power alternatives primarily because <br />it offered the key features required for <br />modeling such an extensive geographic <br />area with multiple interacting systems. <br />The program is developed, marketed <br />commercially, and supported by a third <br />party, Henwood Energy Services, Inc. <br /> <br />The Colorado River Simulation <br />System model was used to represent the <br />Colorado River System and determine the <br />monthly hydro-electric generation for the <br />Reclamation's hydroelectric generation <br />projects in MULTISYM. The principal <br />data source used to construct the <br />MULTISYM model of all the other <br />electric utilities, loads and resources in <br />Western's marketing area was Resource <br />Data International, Inc. This company was <br />selected primarily because it is both <br />comprehensive and readily available to <br />Western. <br /> <br />Model Implementation <br /> <br />A potential course of action could <br />have been to implement the models using <br />system data already existing from other <br />studies, supplemented with "example" or <br />"representative" data. The course of <br />action used for the proof-of-concept <br />analysis was actually a more comprehen- <br />sive approach to model implementation, <br />which involved identifying data sources, <br />gathering most of the available data from <br />these sources, processing the data, and <br />then constructing a more comprehensive <br />model. Using comprehensive, rather than <br />representative, data in the current model <br />will provide benefits as a future time-saver <br />when Western begins to implement chosen <br />methods and potentially acquire replace- <br />ment resources, <br /> <br /> <br /> <br /> <br />Ii <br />