Multi Objective Approach for The Selection of Wind Farms’ Location

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International Journal of Advances in Engineering and Pure Sciences
Cilt: 37 Sayı: 4
Multi Objective Approach for The Selection of Wind Farms’ Location

Multi Objective Approach for The Selection of Wind Farms’ Location

Authors : Sena Kurt, Havva Karaçam, Hüseyin Selçuk Kılıç, Canan Aglan

Pages : 309-318

Doi:10.7240/jeps.1689238

View : 115 | Download : 234

Publication Date : 2025-12-23

Article Type : Research Paper

Abstract :The rise of population volume not only affects the current non-renewable energy sources but also renewable sources. Wind is one of the cleanest source of renewable energy. The design decision encompasses complex and conflicting parameters so that an analytical solution methodology for the problem consideration is necessary. In this study, considering the complex character of wind farm location selection problem, a two-phase fuzzy goal programming approach is applied. The aim of the model is to determine the appropriate locations of wind farms by considering the maximization of technical, social and economic objectives. The process of proper location determination consists of three main stages. The first stage is the determination of potential 30 districts from the Marmara Region and data collection. The second stage is the establishment and application of a single objective form of the model (social, technical and economic objective) separately. The third stage is the implementation of a multi-objective form with two-phase fuzzy goal programming approach. The proposed model is applied to the Marmara Region of Turkey. The most suitable alternatives have been selected out of 30 candidate districts. The inclusion of fuzzy logic within multi-objective approach provides proper evaluation of objectives’ satisfaction values. The results of the applied models identify Bozüyük, Taraklı, and Malkara districts as suitable locations for wind farms, based on the fulfillment of objective functions related to technical, social, and economic factors. The findings point out that on average 25% of total electricity demand can be met by installing the determined wind farms in selected locations.
Keywords : İki Aşamalı Bulanık Amaç Programlama Yaklaşımı, Çok Amaçlı Karar Verme, Rüzgar Tarlası

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