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dc.contributor.authorXu, Xiaosen
dc.contributor.authorDu, Lin
dc.contributor.authorZhang, Zhongyu
dc.contributor.authorGu, Jiayang
dc.contributor.authorXing, Yihan
dc.contributor.authorGaidai, Oleg
dc.contributor.authorDou, Peng
dc.date.accessioned2023-01-04T08:46:15Z
dc.date.available2023-01-04T08:46:15Z
dc.date.created2022-10-27T15:48:55Z
dc.date.issued2022
dc.identifier.citationXu, X., Du, L., Gu, J., Xing, Y., Gaidai, O., Zhang, Z., & Dou, P. (2022). A case study of offshore wind turbine positioning optimization methodology using a novel multi-stage approach. Frontiers in Marine Science, 2317.en_US
dc.identifier.issn2296-7745
dc.identifier.urihttps://hdl.handle.net/11250/3040835
dc.description.abstractThis investigation maximize the annual energy production (AEP) of a wind farm’s layout at a specific site using a novel multi-stage approach. The downstream wind turbines’ energy production decreases due to the reduced wind speed and turbulence created by the upstream wind turbines’ wakes. The wake interference from wind turbines causes the reduction of overall power efficiency. This paper provides a novel multi-stage strategy for the optimal layouts generated by heuristic algorithms to address this problem. A comparison of the proposed multi-stage approach to previous optimization algorithms is presented to demonstrate its efficiency using three referenced cases and one potential wind farm in the Gulf of Maine. The results demonstrate that applying the proposed multi-stage approach increases AEP and decreases computational time compared to previous research and optimization algorithms, which is crucial for large-scale offshore wind farm layout design and optimization.en_US
dc.language.isoengen_US
dc.publisherFrontiersen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA case study of offshore wind turbine positioning optimization methodology using a novel multi-stage approachen_US
dc.title.alternativeA case study of offshore wind turbine positioning optimization methodology using a novel multi-stage approachen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe authoren_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400en_US
dc.source.journalFrontiers in Marine Scienceen_US
dc.identifier.doi10.3389/fmars.2022.1028732
dc.identifier.cristin2065720
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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