Marko Bezbradica, Hans Kerkvliet, Iván Montenegro Borbolla, P. Lehtimaki
{"title":"Introducing multi-criteria decision analysis for wind farm repowering: A case study on Gotland","authors":"Marko Bezbradica, Hans Kerkvliet, Iván Montenegro Borbolla, P. Lehtimaki","doi":"10.1109/MEDO.2016.7746546","DOIUrl":null,"url":null,"abstract":"The aging of wind turbines worldwide, combined with substantial technological developments, implies an increasing number of upcoming end-of-service life decisions. Wind farm repowering may be financially viable as some of the decommissioning and installation expenses can be shared and due to the lower project risk given the well-known wind resource. However, the decision to repower a site is influenced by a list of factors and key stakeholders. Given the complexity of the decision-making process, the use of multi-criteria decision analysis provides a valuable tool for decision-makers, facilitating a structured framework to identify the best possible option for all stakeholders. In this study, PROMETHEE II method is applied to the case of Bockstigen offshore wind farm. Four scenarios were designed, varying the total capacity and the number of turbines, and evaluated against fourteen criteria and seven relevant stakeholders, including their preferences for all of the criteria. Application of the PROMETHEE II provided a ranking of repowering scenarios, offering several key conclusions, such as the link between wind park capacity and stakeholder preference. Moreover, the consensus likelihood analysis between stakeholders suggests one scenario with low possibility of consensus, two with medium, and one with high, making it the most likely to succeed.","PeriodicalId":351424,"journal":{"name":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEDO.2016.7746546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
The aging of wind turbines worldwide, combined with substantial technological developments, implies an increasing number of upcoming end-of-service life decisions. Wind farm repowering may be financially viable as some of the decommissioning and installation expenses can be shared and due to the lower project risk given the well-known wind resource. However, the decision to repower a site is influenced by a list of factors and key stakeholders. Given the complexity of the decision-making process, the use of multi-criteria decision analysis provides a valuable tool for decision-makers, facilitating a structured framework to identify the best possible option for all stakeholders. In this study, PROMETHEE II method is applied to the case of Bockstigen offshore wind farm. Four scenarios were designed, varying the total capacity and the number of turbines, and evaluated against fourteen criteria and seven relevant stakeholders, including their preferences for all of the criteria. Application of the PROMETHEE II provided a ranking of repowering scenarios, offering several key conclusions, such as the link between wind park capacity and stakeholder preference. Moreover, the consensus likelihood analysis between stakeholders suggests one scenario with low possibility of consensus, two with medium, and one with high, making it the most likely to succeed.