Asmae Azzioui, R. Hajji, M. Ettarid, Moulay Hafid Bouhamidi, Mustapha Mouadine, Ihssane Ouacha
{"title":"Determining Optimal Wind Energy Farms Locations Based on MCDM and GIS: a Case Study from Morocco","authors":"Asmae Azzioui, R. Hajji, M. Ettarid, Moulay Hafid Bouhamidi, Mustapha Mouadine, Ihssane Ouacha","doi":"10.1109/irsec53969.2021.9741145","DOIUrl":null,"url":null,"abstract":"Wind energy is one of the most available energies in Morocco that could contribute appreciably to the improvement of national energy mix. Identifying optimal locations for wind farm energy is a key issue in the wind energy development process. However, site selection is a complex study that involves not only technical considerations, but also economic, social and environmental requirements. Our research aims to develop a comprehensive and multi-criteria approach based on GIS and MCDM for the assessment of suitable locations for wind farm energy in Morocco.. This paper presents the main results of our approach based on the Analytic Hierarchy Process (AHP) and Weighted Linear Combination (WLC) methods to determine weights of sitting criteria (factors and constraints), and to develop a composite suitability map from single-factor maps representing these criteria. The research leads to a national suitability map for wind farms locations to support Masen’s sustainable spatial policy related to wind energy.","PeriodicalId":361856,"journal":{"name":"2021 9th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 9th International Renewable and Sustainable Energy Conference (IRSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/irsec53969.2021.9741145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Wind energy is one of the most available energies in Morocco that could contribute appreciably to the improvement of national energy mix. Identifying optimal locations for wind farm energy is a key issue in the wind energy development process. However, site selection is a complex study that involves not only technical considerations, but also economic, social and environmental requirements. Our research aims to develop a comprehensive and multi-criteria approach based on GIS and MCDM for the assessment of suitable locations for wind farm energy in Morocco.. This paper presents the main results of our approach based on the Analytic Hierarchy Process (AHP) and Weighted Linear Combination (WLC) methods to determine weights of sitting criteria (factors and constraints), and to develop a composite suitability map from single-factor maps representing these criteria. The research leads to a national suitability map for wind farms locations to support Masen’s sustainable spatial policy related to wind energy.