Xuzhe Sheng, P. Zeng, Hao Xing, Philippe Lienhart, Qian Dai
{"title":"A GIS+MCDA based assessment method of potential onshore wind power development sites in Mongolia","authors":"Xuzhe Sheng, P. Zeng, Hao Xing, Philippe Lienhart, Qian Dai","doi":"10.1109/POWERCON.2018.8601590","DOIUrl":null,"url":null,"abstract":"To facilitate the Northeast Asian Power Grid interconnection and the export of Mongolian renewable energy, a Geographical Information System (GIS) based assessment method of potential sites for onshore wind power farm is proposed. Firstly, taking into consideration all existing electrical and road infrastructures, this paper assesses the available areas for wind power development, and then wind resources and technological potentials are evaluated using the ranking method of weighted linear combination technique and GIS-based Multi-Criteria Decision Analysis (MCDA). The four factors are selected to assess the overall suitability of each location, including wind speed and the accessibility to existing roads, villages, substations, etc. Finally, based on each criterion and their weights, a composite map of best sites is generated.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Power System Technology (POWERCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERCON.2018.8601590","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
To facilitate the Northeast Asian Power Grid interconnection and the export of Mongolian renewable energy, a Geographical Information System (GIS) based assessment method of potential sites for onshore wind power farm is proposed. Firstly, taking into consideration all existing electrical and road infrastructures, this paper assesses the available areas for wind power development, and then wind resources and technological potentials are evaluated using the ranking method of weighted linear combination technique and GIS-based Multi-Criteria Decision Analysis (MCDA). The four factors are selected to assess the overall suitability of each location, including wind speed and the accessibility to existing roads, villages, substations, etc. Finally, based on each criterion and their weights, a composite map of best sites is generated.
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