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user. To predict PV module performance, we have implemented the option to model performance based on SNL’s “King” methodologyii. The King model is accessible from within TRNSYSiii, which will be the transient simulation solver for the model that fully integrates all the solar technologies. TRNSYS was chosen in part to make available to the user the extensive, existing library of system components relevant to the Solar Program. Because the model will ultimately be used for analysis of thermal, as well as photovoltaic systems, a generalized description of component and configuration input options are provided in the user interface. Options include the collector (PV module), converter (PV inverter), array/field (module configuration), storage (battery), and balance of system. 3.3.3. Cost-input module. A simple cost model has been incorporated into the current version of the SDA model. Future versions of the cost-input module will include detailed component and systems-level capital costs, as well as a component and systems-level O&M costs model as part of the default systems. The user-interface permits access to these cost parameters for modification by the user. Costs can be entered through the user interface or derived from a more detailed cost model implemented within a Microsoft Excel environment. As is the case with other portions of the model, the user will be able to not only modify default values, but to redefine the model itself. Such user-defined models will allow for sophisticated rollup of materials and labor costs, with varying relationships to system size and capacity, to meet the user’s specific needs. 3.3.4 Financial-analysis module. The financial module calculates the system cost and revenue streams for a given configuration, its associated input data, energy production, and various project- specific financial input assumptions. Based on this information, the module will be used to calculate information of interest to the user, such as project earnings, detailed cash flows, debt payments, equity income, levelized cost of electricity, after-tax internal rate of return (IRR), and debt-service coverage ratio. An important feature of the finance module is that it will offer a variety of standard schemes for financing solar-related projects. The user will be allowed to select financing mechanisms related to the project at hand, e.g., mortgage, commercial- loan-financed systems, or standard power project debt/equity financing. Default financial parameters are provided. However, the user is allowed to vary the financial parameters to address project-specific requirements or to assess the sensitivity of output parameters to financing assumptions. 4. Planned FY 2005 Activities 4.1 Analysis During FY 2005, the analysis team will continue to work on improving our understanding of the long-term market potential for solar technologies, and reviewing the Program’s technical and economic targets, as follows: • Complete report on the economics of solar hydrogen (07/05). • Complete review of the technical and economic targets for PV systems (module, inverter, and complete systems) (09/05). 4.2 Benchmarking Benchmarking in FY 2005 will continue its focus on PV technologies, including concentrating PV, and the dataset will be expanded to include all major market sectors, covering both grid- connected and off-grid applications, as follows: • Complete set of benchmarked tables for MYTP (06/05). • Benchmarking report detailing status of the cost and performance of PV system installations, as input for models, MYTP, and external review (08/05). 4.3 Modeling The capability of the SDA model will be expanded, as follows: • Include capability to conduct sensitivity studies into beta version of solar analysis model (01/05). • Complete integration of parabolic trough and solar water heating performance and cost models into next version of solar analysis model (9/05).PDF Image | FY 2004 ANNUAL REPORT DOE Solar
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