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1. Introduction The PV Systems Analysis Task consists of systems performance and cost modeling, market/value/policy analysis, and benchmarking projects. The primary function of the Solar Advisor Model is to allow users to investigate the impact of variations in physical, cost, and financial parameters to better understand their impact on key figures of merit. Figures of merit related to the cost and performance of these systems include, but are not limited to, system output, peak and annual system efficiency, levelized cost of energy (LCOE), and system capital and operations and maintenance (O&M) costs. The benchmarking effort is structured to document the current status of these and other key figures of merit. The Solar Advisor Model is intended for use by DOE and laboratory management and research staff and is a critical element in the implementation of the Systems-Driven Approach (SDA) to Solar Program planning. The model may be used by members of the solar industry to inform internal R&D direction and to estimate systems cost and performance. The analysis portion of the task is structured to consider market-penetration models and to capture the value of PV systems in various markets. 2. Technical Approach For the Solar Advisor Model, particular emphasis was placed upfront on the design of a user interface that could meet the needs of a diverse set of users. User profiles were developed to provide a general description of DOE, laboratory, and industry users and their motivation for using the modeling tool. The working model consists of a user-interface module for selecting and providing input data on the system configuration and operating environment, a system-performance module that simulates the hour-by-hour output of the selected system for the lifetime of a project, a cost-input module for providing simple or detailed cost inputs for system components, and a financial-analysis module for calculating system economics. The modules work in concert to generate the physical and financial figures of merit relevant to the particular user. Developing the PV components of the Solar Advisor Model, defining its inputs (based on data gathered through benchmarking), and carrying out detailed analysis with the model has been a Photovoltaic R&D Technology Development central focus of the modeling and benchmarking areas during FY 2005. The analysis team focuses on two main tasks. The first is developing long-term market- penetration projections for solar technologies. This effort involves examining both the system and policy drivers of solar technologies in various markets in both the short and long term, as well as improving the analytical basis for projecting the Solar Program’s economic and environmental benefits. Here, our emphasis has been on models and modeling: using existing models—such as EIA’s NEMS, MARKAL, and others—to carry out analysis, examining the structure of various models and providing feedback on how to improve the representation of solar technologies to modelers, and developing new models such as SolarDS that will help meet the needs of the broader SDA modeling effort. The analysis portion of this task also evaluates policies, as well as other factors, that impact the value of PV technologies in a variety of markets. This task involves using existing models, spreadsheets, and other tools. Here, our emphasis is on using analytical tools to quantify how changing policies, rate structures, system designs, and other factors will impact the value of solar technologies to consumers, utilities, governments, and other players. During FY 2005 a key emphasis of the analysis team has been to identify best practices for estimating both the benefits and cost of distributed PV technology and to document the methodologies and data sources used to carry out value analysis of distributed PV technology. This area of work is aimed at informing state-level policymaking. In carrying out these projects, we use resources at NREL and SNL (described in the table below), as well as subcontracts (described in Section 6). Task Title PV Advisor Modeling PV Market, Value, and Policy Analysis System Reliability and Cost Analysis FY 2005 Budget ($K) 275 436 357 98PDF Image | DOE Solar Energy Technologies Program
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