A hybrid MCDM method for enhancing site selection for wind power plants in Turkey

IF 4.4 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development Pub Date : 2024-08-09 DOI:10.1016/j.esd.2024.101536

Zeynep Çolak

{"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}

引用次数: 0

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.

查看原文本刊更多论文

加强土耳其风力发电厂选址的混合 MCDM 方法

本研究探讨了风能作为快速增长的能源消耗和日益枯竭的能源资源的替代能源。目的是通过风力发电厂安装的最佳选址来提高效率。通过采访专家和查阅文献，确定了 16 项选址标准。研究的重点是土耳其具有风力发电厂安装潜力的省份，如巴勒凯希尔、恰纳卡莱、伊兹密尔、马尼萨和萨姆松。我们选择了模糊层次分析法 (AHP) 来建立层次结构、进行配对比较、综合优先次序并确保选址的一致性。此外，还使用了模糊决策试验和评估实验室（DEMATEL）方法，因为该方法计算效率高，能够解决评估因素间关系时的不确定性和模糊性。分析表明，巴勒克西尔省是风力发电厂的最佳选址。该模型在测试的所有变量中对城市的排名始终如一，这突出表明了其稳健性。这种一致性表明，我们的模型建议能够抵御标准权重的微小变化，为风力发电厂选址决策过程中的利益相关者提供了可靠的工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Energy for Sustainable Development ENERGY & FUELS-ENERGY & FUELS

CiteScore

8.10

自引率

9.10%

发文量

187

审稿时长

6-12 weeks

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.