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dc.contributor.authorSeyr, Helene
dc.contributor.authorMuskulus, Michael
dc.date.accessioned2019-04-01T07:45:58Z
dc.date.available2019-04-01T07:45:58Z
dc.date.created2019-01-14T14:10:09Z
dc.date.issued2019
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/11250/2592601
dc.description.abstractThis paper reviews the state of the art in offshore wind farm operations and maintenance with a focus on decision support models for the scheduling of maintenance. Factors influential to maintenance planning are collected from the literature and their inclusion in state-of-the-art models is discussed. Methods for modeling and optimization are presented. The methods currently used and possible alternatives are discussed. The existing models are already able to aid the decision-making process. They can be improved by applying more advanced mathematical methods, including uncertainties in the input, regarding more of the influential factors, and by collecting, analyzing, and subsequently using more accurate data.nb_NO
dc.language.isoengnb_NO
dc.publisherMDPInb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDecision Support Models for Operations and Maintenance for Offshore Wind Farms: A Reviewnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.volume9nb_NO
dc.source.journalApplied Sciencesnb_NO
dc.source.issue2nb_NO
dc.identifier.doi10.3390/app9020278
dc.identifier.cristin1656421
dc.description.localcode© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).nb_NO
cristin.unitcode194,64,91,0
cristin.unitnameInstitutt for bygg- og miljøteknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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