Gis-based determination of solar power plant (spp) sites by the mcda method: ovacik district, karabuk-turkiye
1 Directorate of Investment Monitoring and Coordination, YIKOB, Aydin, Turkiye
2 Department of Architecture and Urban Planning, Izmir Vocational School, Dokuz Eylul University, Izmir, Turkiye
2 Department of Architecture and Urban Planning, Izmir Vocational School, Dokuz Eylul University, Izmir, Turkiye
Abstract
Countries whose industry constantly develops need to find different resources to those that they have been using so far to meet their energy needs. Among renewable energy resources, solar energy is being used highly prevalently due to its high potential, ease of use and environmentally friendly nature. In determining the installation locations of SPP, it is highly important to consider economic, environmental and social factors. In this study, it was focused to indicate areas inside the Karab k-Ovacik district suitable for SPP installation by using GIS and AHP. Although there are energy production plants in the province of Karab k and in some of its districts, there is no energy production facility in the study area of Ovacik. Moreover, it is emphasized Karab k Provincial Environmental Status report that a project for water heating with solar energy was planned for Ovacik for the purpose of reducing wood consumption. Thanks to this study, suitable SPP establishment areas were determined for the first-time in a location in Ovacik where clean energy is needed. According to the obtained results, it was determined that the Ovacik District had low, medium and high sensitivity properties for SPP construction, and the areas suitable for SPP construction providing medium and high sensitivity constituted 63.81% of the study area. While these areas suitable for SPP installation were distributing to almost everywhere in the Ovacik, mostly covering wide areas at the center and in the south and local areas in the northwest and northeast of the study area.
Keywords
analytic hierarchy process (AHP); geographic information systems (GIS); multi-criteria decision analysis method (MCDA); Ovacik; solar power