Wind farm location determination by using a two-phased fuzzy decision-making methodology based on fused data with a real case application. Issue 11 (1st December 2022)

• Record Type: Journal Article
• Authors: Karaşan, Ali; Çolak, Murat; Budak, Ayşenur; Kaya, İhsan
• Is Part Of: International journal of sustainable energy. Volume 41:Issue 11(2022)
• Page Start: 1694
• Page End: 1720
• Publication Date: 2022-12-01
• Subjects: Wind energy -- location selection -- fuzzy set theory -- MCDM -- AHP -- TOPSIS -- Z-fuzzy numbers -- Marmara Region; Solar energy -- Periodicals; Renewable energy sources -- Periodicals; 621.4705
• DOI: 10.1080/14786451.2022.2092869
• Languages: English
• ISSNs: 1478-6451

Abstract

ABSTRACT: Location selection for power plants operating with renewable energy is critical, and their locations directly affect performance and productivity. In this paper, a novel two-phased MCDM methodology based on z-fuzzy numbers with a better modelling capability by defining a confidence degree in decision-making problems is proposed to evaluate alternative locations for wind farm installation in Marmara Region, Turkey. As a result, while Çanakkale has been selected as the most suitable city, the alternative location named Biga has been determined as the most appropriate location in this city for wind farm installation. In addition, sensitivity and comparative analyses have been conducted to check the flexibility of the given decisions and verification of the weights of the criteria, respectively.