Research Information System
Thesis Type: Postgraduate
Institution Of The Thesis: Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Turkey
Approval Date: 2018
Student: SİNEM AKALIN
Supervisor: MEHMET KABAK
Abstract:Renewable energy has an important place in terms of countries by meeting the energy needs of countries with natural resources, reducing their external dependency, increasing the sustainable energy direction and reducing the damage to the environment as a result of energy consumption. In this study, it was aimed to determine the regions in which wind energy turbines will be located off the Çanakkale region of Aegean Sea in order to reduce dependence on foreign energy and benefit more from renewable energy in Turkey. A decision model was proposed in which the Fuzzy Analytical Hierarchy Process (FAHP) is used together with GIS and multi-criteria decision making techniques in determining alternative regions. The criteria used in the study were determined by considering the comments, information and accumulations of the expert personnel in the formation of the Directorate General of Renewable Energy and by the results of the literature survey and the opinion of the academic staff engaged in the studies on this subject. The criteria with vector data format have been transformed into raster data format using various commands in ArcGIS from Geographical Information System Software. Raster data created for each criterion is combined into a single layer in ArcGIS software. In the course of the integration of the criterion data, two cases were considered, in which the five criteria were equally weighted and the weights were determined by BAHP. Thus, the Aegean Sea has been categorized as alternative, optimal and suitable area for the establishment of offshore wind power plants. It has been determined that Çanakkale, Gökçeada and Bozcaada coasts are among the most suitable areas for the establishment of offshore wind power plants in Aegean Sea. These identified alternative regions are interpreted under two scenarios. In addition, sensitivity analysis was carried out to investigate how a sensitive change in criteria will affect the solution.