研究目的
To define the most suitable locations for establishing the photovoltaic (PV) power plants considering the techno-economic and environmental conditions, assuring the maximum power achievement with minimizing project cost.
研究成果
The study provides a practical approach to identify the land suitability index of the PV power plant for the northwest coast of Egypt by integrating the MCDM technique with RS and GIS techniques. The results can help in developing the solar energy market, save energy for future demand, and support the sustainable strategies in the region.
研究不足
The PV power potential is limited by land availability, the minimum amount of radiation required to install solar power, conversion efficiencies, topography, and climatic condition.
1:Experimental Design and Method Selection
Integration of Geographic Information System (GIS) tools, Remote Sensing technology (RS) with the Multi-Criteria Decision Making (MCDM) technique, specifically the Analytic Hierarchy Process (AHP) method.
2:Sample Selection and Data Sources
The study area is located at the northern extent of the Egyptian western desert, in the north-western coastal zone. Data sources include SRTM DEM, SENTINEL-2 multi-spectral image, topographic maps, Google Earth data, power transmission line data, land capability map, and climatic data.
3:List of Experimental Equipment and Materials
ArcGIS for Desktop 10.2.2, ENVI 5.1 software, Shuttle Radar Topography Mission (SRTM) DEM, SENTINEL-2 image, topographic maps, Google Earth data.
4:Experimental Procedures and Operational Workflow
Preparation of multi-criteria for land suitability index (LSI) modeling, application of AHP technique for determining criteria weights, evaluation of multi-criteria for PV optimum site selection, estimation of technical potentiality of the PV power plant.
5:Data Analysis Methods
Use of solar analyst tool in ArcGIS for solar radiation modeling, Inverse Distance Weighted (IDW) function for climatic factors mapping, Euclidean distance function for proximity mapping, weighted overlay function in GIS for LSI modeling.
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