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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.accessioned2020-05-14T13:01:36Z
dc.date.available2020-05-14T13:01:36Z
dc.date.created2016-10-18T09:46:57Z
dc.date.issued2016
dc.identifier.citationEnergy Procedia. 2016, 94 357-366.en_US
dc.identifier.issn1876-6102
dc.identifier.urihttps://hdl.handle.net/11250/2654493
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.en_US
dc.language.isoengen_US
dc.publisherElsevier Ltden_US
dc.titleVessel Fleet Optimization for Maintenance Operations at Offshore Wind Farms under Uncertaintyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber357-366en_US
dc.source.volume94en_US
dc.source.journalEnergy Procediaen_US
dc.identifier.doi10.1016/j.egypro.2016.09.195
dc.identifier.cristin1392503
dc.relation.projectNorges forskningsråd: 205298en_US
dc.relation.projectNorges forskningsråd: 193823en_US
dc.relation.projectNorges forskningsråd: 217443en_US
cristin.unitcode211,4,0,0
cristin.unitnameAvdeling for logistikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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