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- W2979673833 abstract "The site selection for a solar photovoltaic (PV) power plant is crucial, as the site characteristics have a direct impact on the project economic and technical aspects and thus on its success. The objective of this study is to enhance the methods to assess the potential locations for utility-scale solar PV, considering multiple criteria including solar irradiation, air temperature, proximity to urban areas, proximity to highways, and proximity to power lines, slope, and the aspect of the lands. A Monte Carlo simulation (MCS) approach was applied to analyze the decision model, in particular to evaluate the potential impact of variations in decision criteria values on the suitability index of the potential sites, and thus to account for the uncertainty and variability of data, particularly of weather parameters and the variability of data across the very large study area. MCS simulation is considered as a methodical approach of doing what-if analysis. In this case, it was applied to measure the reliability of the results and to draw insightful conclusions regarding the decision criteria in evaluating potential PV site locations. MCS probabilistic analysis was conducted based on the data for 663 actual site alternatives in Saudi Arabia. It was found that the site suitability has the strongest linear relationship with the criterion proximity to cities followed by the aspect criterion. MSC can be used as a helpful evaluation tool in finding the final suitability index values of the alternatives." @default.
- W2979673833 created "2019-10-18" @default.
- W2979673833 creator A5049597067 @default.
- W2979673833 creator A5083902647 @default.
- W2979673833 date "2020-01-01" @default.
- W2979673833 modified "2023-10-02" @default.
- W2979673833 title "A Monte Carlo approach applied to sensitivity analysis of criteria impacts on solar PV site selection" @default.
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- W2979673833 doi "https://doi.org/10.1016/b978-0-12-816514-0.00020-5" @default.
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