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dc.contributor.authorStålhane, Magnus
dc.contributor.authorVefsnmo, Hanne
dc.contributor.authorHalvorsen-Weare, Elin Espeland
dc.contributor.authorHvattum, Lars Magnus
dc.contributor.authorNonås, Lars Magne
dc.date.accessioned2018-01-16T17:01:07Z
dc.date.available2018-01-16T17:01:07Z
dc.date.created2016-10-18T09:46:57Z
dc.date.issued2016-09
dc.identifier.citationEnergy Procedia. 2016, 94 357-366.nb_NO
dc.identifier.issn1876-6102
dc.identifier.urihttp://hdl.handle.net/11250/2477846
dc.description.abstractIn this paper we consider the problem of determining the optimal fleet size and mix of vessels to support maintenance activities at offshore wind farms. A two-stage stochastic programming model is proposed where uncertainty in demand and weather conditions are taken into account. The model aims to consider the whole life span of an offshore wind farm, and should at the same time remain solvable for realistically sized problem instances. The results from a computational study based on realistic data is provided.nb_NO
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectFleet-size-and-mixnb_NO
dc.subjectOperations & maintenancenb_NO
dc.subjectStochastic programmingnb_NO
dc.titleVessel Fleet Optimization for Maintenance Operations at Offshore Wind Farms under Uncertaintynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holder© 2016 The Author(s). Published by Elsevier Ltd.nb_NO
dc.source.pagenumber357-366nb_NO
dc.source.volume94nb_NO
dc.source.journalEnergy Procedianb_NO
dc.identifier.doi10.1016/j.egypro.2016.09.195
dc.identifier.cristin1392503
dc.relation.projectNorges forskningsråd: 205298nb_NO
dc.relation.projectNorges forskningsråd: 193823nb_NO
dc.relation.projectNorges forskningsråd: 217443nb_NO
cristin.unitcode7566,7,0,0
cristin.unitnameMaritim
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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