A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Research on an optimal site selection model for desert photovoltaic power plants based on analytic hierarchy process and geographic information system
Optimal site selection for desert photovoltaic power plants is important to energy output and involves a multicriteria evaluation of many factors. This paper analyzes the factors influencing desert photovoltaic power station site selection and establishes an optimal site selection model for desert photovoltaic power plants using an analytic hierarchy process and geographic information system technology. We selected a typical desert area in northwestern China as the research location to test the model. Validation results were ideal, and the model successfully displayed the optimal site for desert photovoltaic power plants, from which the most suitable site for desert photovoltaic power plants could be selected.
Research on an optimal site selection model for desert photovoltaic power plants based on analytic hierarchy process and geographic information system
Optimal site selection for desert photovoltaic power plants is important to energy output and involves a multicriteria evaluation of many factors. This paper analyzes the factors influencing desert photovoltaic power station site selection and establishes an optimal site selection model for desert photovoltaic power plants using an analytic hierarchy process and geographic information system technology. We selected a typical desert area in northwestern China as the research location to test the model. Validation results were ideal, and the model successfully displayed the optimal site for desert photovoltaic power plants, from which the most suitable site for desert photovoltaic power plants could be selected.
Research on an optimal site selection model for desert photovoltaic power plants based on analytic hierarchy process and geographic information system
Xiao, Jianhua (author) / Yao, Zhengyi (author) / Qu, Jianjun (author) / Sun, Jiahuan (author)
Journal of Renewable and Sustainable Energy ; 5 ; 023132-
2013-03-01
15 pages
Article (Journal)
Electronic Resource
English
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