Açık deniz rüzgar enerjisi santrali yer seçimi için entegre bir Bayesyen BWM ve GIS tabanlı yaklaşım: Marmara Denizi ve Kuzey Ege Kıyılarında (Türkiye) bir vaka çalışması

Abstract

ABSTRACT
 In today's world, renewable energy sources are in great demand due to the negative effects of fossil fuels on the environment. Wind power plants are an important renewable energy source alternative to fossil fuel consumption. Offshore wind farms established in coastal areas and seas are used effectively in many parts of the world. Considering the wind power plants, especially the Northwest region of Turkey and the Aegean coasts constitute an important potential. The aim of this study is to make the suitable site selection for offshore wind farms in the Marmara Sea and North Aegean Coasts of Turkey by integrating the Bayesian Best-Worst method (BWM) and GIS. Bayesian BWM optimizes the original BWM, effectively integrating the preferences of multiple experts. In the study, 17 criteria were determined under four main criteria as "technical", "socio-economic", "environment" and "location" using the BWM model. The questionnaires containing the criteria were filled by experts and the final weights were obtained. Separate maps were created for 17 criteria, explanations of the criteria were made and these maps were used in the result map. The criteria weights found using the Bayesian-BWM model were integrated into the GIS and suitable locations for the offshore wind farm were determined. Accordingly, the study area off the coasts of Aliağa, Bozcaada and Gökçeada on the North Aegean coast, and the partially south of the Marmara Sea and the area around Kapıdağ Peninsula are suggested as suitable areas for wind power plant.