{"title":"A hybrid MCDM method for enhancing site selection for wind power plants in Turkey","authors":"Zeynep Çolak","doi":"10.1016/j.esd.2024.101536","DOIUrl":null,"url":null,"abstract":"<div><p>This study examines wind energy as an alternative to the rapidly increasing energy consumption and depleting energy resources. The goal is to enhance efficiency through optimal site selection for wind power plant installation. By interviewing experts and reviewing literature, 16 criteria were identified for site selection. The study focused on provinces in Turkey with potential for wind power plant installation, such as Balıkesir, Çanakkale, İzmir, Manisa, and Samsun. The fuzzy Analytic Hierarchy Process (AHP) method was chosen to establish hierarchy, conduct pairwise comparisons, synthesize priorities, and ensure consistency in site selection. Additionally, the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used for its computational efficiency and ability to address uncertainty and ambiguity in evaluating relationships between factors. Analyses showed that Balıkesir province is the best location for a wind power plant. The model's consistent ranking of cities across all variations tested underscores its robustness. This consistency suggests that our model's recommendations are resilient to small variations in criteria weights, offering a reliable tool for stakeholders in the wind power plant siting decision process.</p></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"82 ","pages":"Article 101536"},"PeriodicalIF":4.4000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy for Sustainable Development","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0973082624001625","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
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Abstract
This study examines wind energy as an alternative to the rapidly increasing energy consumption and depleting energy resources. The goal is to enhance efficiency through optimal site selection for wind power plant installation. By interviewing experts and reviewing literature, 16 criteria were identified for site selection. The study focused on provinces in Turkey with potential for wind power plant installation, such as Balıkesir, Çanakkale, İzmir, Manisa, and Samsun. The fuzzy Analytic Hierarchy Process (AHP) method was chosen to establish hierarchy, conduct pairwise comparisons, synthesize priorities, and ensure consistency in site selection. Additionally, the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used for its computational efficiency and ability to address uncertainty and ambiguity in evaluating relationships between factors. Analyses showed that Balıkesir province is the best location for a wind power plant. The model's consistent ranking of cities across all variations tested underscores its robustness. This consistency suggests that our model's recommendations are resilient to small variations in criteria weights, offering a reliable tool for stakeholders in the wind power plant siting decision process.
期刊介绍：
Published on behalf of the International Energy Initiative, Energy for Sustainable Development is the journal for decision makers, managers, consultants, policy makers, planners and researchers in both government and non-government organizations. It publishes original research and reviews about energy in developing countries, sustainable development, energy resources, technologies, policies and interactions.
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