GIS-Based Multi-Criteria Decision Analysis of Site Selection for Photovoltaic Power Plants in Çanakkale Province


International Journal of Environment and Geoinformatics, vol.7, no.3, pp.347-355, 2020 (Peer-Reviewed Journal) identifier


Energy demand is gradually increasing due to rapid population growth. Using fossil fuels for energy production destroys theenvironment and fossil energy-based reserves are expected to be depleted in the future. Renewable energy sources are needed tominimize environmental impacts. Solar energy is among the most researched and invested renewable energy sources. There isdiversity in renewable energy sources in Çanakkale province but it is not sufficient when the potential is considered. Other renewablepower plants except the wind should also be increased among the newly planned plants. Carrying out a comprehensive solar powerplant analysis is the first step to provide a cost-effective and well-performing project, and so choosing a suitable location is a criticalpoint towards developing solar energy projects. Knowing potential sites is a fundamental point for annual power plant productionforecasting and financial feasibility. With the integration of Geographic Information Systems (GIS) and Multi-Criteria DecisionAnalysis (MCDA); a more reliable analysis is carried out, the most suitable places can be determined by considering various criteria.Within this study, using spatial analysis, it is aimed to determine areas where photovoltaic (PV) solar power plant can be establishedin Çanakkale province by GIS-MCDA and how much of energy demand can be supplied in case of installation. Criteria andrestriction factors to be used were determined by scanning the literature in detail as part of the relevant legal regulations. Accordingto the restriction map generated, 96% of Çanakkale province is restricted site since the restriction factors was considered refinedly.Analytical hierarchy process (AHP) will be used as a method of analysis and after acquiring the optimal sites, the annual electricpower generation potential in those sites will be calculated. The outputs of this study will contribute development strategy andnational energy planning.