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dc.contributor.authorHalvorsen-Weare, Elin Espeland
dc.contributor.authorGundegjerde, Christian
dc.contributor.authorHalvorsen, Ina Blomseth
dc.contributor.authorHvattum, Lars Magnus
dc.contributor.authorNonås, Lars Magne
dc.date.accessioned2017-10-06T11:34:17Z
dc.date.available2017-10-06T11:34:17Z
dc.date.created2013-09-17T08:26:13Z
dc.date.issued2013
dc.identifier.citationEnergy Procedia. 2013, 35 167-176.nb_NO
dc.identifier.issn1876-6102
dc.identifier.urihttp://hdl.handle.net/11250/2458950
dc.description.abstractPerforming maintenance operations at offshore wind farms involves one major challenge compared with the onshore counterpart: All maintenance personnel and spare parts need to be transported from an onshore port or offshore station to the individual wind turbines by vessels or helicopters. The vessels and helicopters required for these tasks will constitute a major part of the maintenance costs for the offshore wind farms, and to reduce the cost of energy it is essential to keep an optimal or near-optimal vessel fleet for this purpose. We study the vessel fleet optimization problem that arises for offshore wind farms and propose an appropriate optimization model. Computational experiments show that our model can be solved to provide decision makers with an optimal vessel fleet within acceptable time limits.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.titleVessel fleet analysis for maintenance operations at offshore wind farmsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber167-176nb_NO
dc.source.volume35nb_NO
dc.source.journalEnergy Procedianb_NO
dc.identifier.doi10.1016/j.egypro.2013.07.170
dc.identifier.cristin1049806
dc.relation.projectNorges forskningsråd: 205298nb_NO
dc.relation.projectNorges forskningsråd: 217443nb_NO
dc.relation.projectNorges forskningsråd: 193823nb_NO
dc.description.localcode© 2013 The Authors. Published by Elsevier Ltd. Open access under CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/3.0/)nb_NO
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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