Site selection for wind farms using geographic information system with best-worst method: A case study Amhara Region of Ethiopia
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Abstract
Finding a wind potential site that is ideal for energy production and planning for sustainable land use, environmental management, and protection all depend on the analysis of suitability for wind farms. This study's objective was to locate potential sites for wind farms using a Geographic Information System (GIS) and the Best-Worst Method (BWM). In order to determine the weights of the eight criteria, BWM was utilized. The most crucial factor in choosing where to put wind farms was determined to be wind speed, which was then followed by slope, power grid lines, land cover, aspect, airports, major roads, and protected regions. Weighted Overlay analysis in a GIS environment was used to illustrate the wind farm's suitability map. According to the study, the Amhara region's eastern and western regions have good potential for producing wind-based renewable energy. The suitability of the area for wind farms is indicated on a scale of 0 to 5 as unsuitable, very low, low, moderate, high, and very high potential.
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References
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