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1 SGIPce User Guide Overview The SGIPce User Guide is designed to be a detailed look at how to use the system. The SGIPce system was designed to estimate the cost-effectiveness of distributed generation (DG) systems over time. The system incorporates the assumption of market transformation, allowing the user to define the likely future path of the DG system installation costs. It also allows the user to select various technologies of interest and calculate their cost-effectiveness as a group and store the results for review and further analysis. Development of the software began with the Energy and Environmental Economics (E3) CSI ProForma Levelized Cost of Energy (LCOE) worksheet. The E3 model is designed to calculate the levelized cost of energy for PV systems. The E3 model was modified to enable the analysis of Combined Heat and Power (CHP), storage, and wind systems to provide a model capable of analyzing the cost-effectiveness of multiple types of DG technologies. The SCIPce system was built by surrounding the modified LCOE worksheet with a set of input worksheets and workbooks used to provide inputs and to store outputs used and generated by the DG cost- effectiveness system. The primary outputs of the SGIPce system are the program and measure level cost-effectiveness tests. The purpose of the User Guide is to present details about the components of the system. The User Guide documents the input workbooks, it includes information about the engine that controls the model runs, and it provides a discussion of the results that are generated and stored by the system. A Quick Start Guide has been developed to aid the user in getting the system up and running. This guide is included in this document. It provides instructions on how to install the system and how to setup Excel 2007 for first use. These instructions must be followed for the system to operate correctly. After the Quick Start Guide the user will find a more detailed description of the system’s components. Itron, Inc. 1-1 OverviewPDF Image | Cost-Effectiveness of Distributed Generation Technologies
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