F. Elmahmoudi, O. Abra, A. Raihani, O. Serrar, L. Bahatti
{"title":"GIS Based Fuzzy Analytic Hierarchy Process for wind Energy Sites Selection","authors":"F. Elmahmoudi, O. Abra, A. Raihani, O. Serrar, L. Bahatti","doi":"10.1109/COMMNET.2019.8742365","DOIUrl":null,"url":null,"abstract":"Site wind farm choosing is a critical element in constructing a wind power generation, that's why determining the ideal location for a wind farm is a complicated process which encounters decision makers. Multi-criteria decision making (MCDM) approach based on geographic information system (GIS) is used for selecting the best location for wind energy by assigning suitable rating to the criteria with regards to their relative importance and calculating weight of each criterion. Accordingly, Analytical Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (FAHP) were proposed. Analytical Hierarchy Process (AHP) is one of the easy methods for choosing a criterion among a large number of criteria. Fuzzy AHP is a developed extension of classical AHP. In this study an analogy is made between Analytic Hierarchy Process (AHP), the Buckley's Fuzzy-AHP algorithm and geometric mean Fuzzy-AHP method for selecting wind farm. The selection is managed by using six criteria such as land use, wind speed, urban area, distance to power lines, distance to roads and slope. The three approaches have been compared on the same hierarchy structure and criteria set and the three methods result display that the wind and slope have the highest priority.","PeriodicalId":274754,"journal":{"name":"2019 International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Advanced Communication Technologies and Networking (CommNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMMNET.2019.8742365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Site wind farm choosing is a critical element in constructing a wind power generation, that's why determining the ideal location for a wind farm is a complicated process which encounters decision makers. Multi-criteria decision making (MCDM) approach based on geographic information system (GIS) is used for selecting the best location for wind energy by assigning suitable rating to the criteria with regards to their relative importance and calculating weight of each criterion. Accordingly, Analytical Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (FAHP) were proposed. Analytical Hierarchy Process (AHP) is one of the easy methods for choosing a criterion among a large number of criteria. Fuzzy AHP is a developed extension of classical AHP. In this study an analogy is made between Analytic Hierarchy Process (AHP), the Buckley's Fuzzy-AHP algorithm and geometric mean Fuzzy-AHP method for selecting wind farm. The selection is managed by using six criteria such as land use, wind speed, urban area, distance to power lines, distance to roads and slope. The three approaches have been compared on the same hierarchy structure and criteria set and the three methods result display that the wind and slope have the highest priority.
风电场选址是建设风力发电的关键因素,这就是为什么确定风电场的理想位置是一个复杂的过程,遇到决策者。采用基于地理信息系统(GIS)的多标准决策(MCDM)方法,根据各标准的相对重要性对各标准进行适当的评级,并计算各标准的权重,从而选择最佳的风能选址。据此,提出了层次分析法(AHP)和模糊层次分析法(FAHP)。层次分析法(AHP)是在众多标准中选择标准的简便方法之一。模糊层次分析法是经典层次分析法的发展扩展。本文将层次分析法(AHP)、巴克利模糊层次分析法(Buckley’s Fuzzy-AHP)和几何平均模糊层次分析法(geometric mean Fuzzy-AHP)类比用于风电场选择。根据土地利用、风速、城市面积、与输电线的距离、与道路的距离、坡度等6个标准进行选择。在相同的层次结构和标准集上对三种方法进行了比较,结果表明风和坡具有最高的优先级。