Estimating Potential Photovoltaic Yield with r.sun and the Open Source Geographical Resources Analysis Support System
作者： H.T. Nguyen , J.M. Pearce
DOI: 10.1016/J.SOLENER.2010.02.009
关键词: Renewable energy 、 Site selection 、 Solar energy 、 Remote sensing 、 Photovoltaic system 、 Data processing 、 Albedo 、 Environmental science 、 r.sun 、 Geographic information system
摘要: The package r.sun within the open source Geographical Resources Analysis Support System (GRASS) can be used to compute insolation including temporal and spatial variation of albedo solar photovoltaic yield. A complete algorithm is presented covering steps data acquisition preprocessing post simulation whereby candidate lands for incoming farms projects are identified. optimal resolution acquire reliable energy outputs integrated into PV system design software was determined 1 square km. case study using developed here performed on a North American region encompassing fourteen counties in Southeastern Ontario. It confirmed that Ontario has large potential electricity. This found possess over 935,000 acres appropriate farm development, which could provide 90 GW PV. nearly 60% Ontario’s projected peak electricity demand 2025. tested this paper generalized any world order foster most environmentally-responsible development large-scale farms.
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