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dc.contributor.authorStålhane, Magnus
dc.contributor.authorChristiansen, Marielle
dc.contributor.authorKirkeby, Odin
dc.contributor.authorMikkelsen, Andreas Jebsen
dc.date.accessioned2018-01-30T12:02:39Z
dc.date.available2018-01-30T12:02:39Z
dc.date.created2018-01-01T15:01:01Z
dc.date.issued2017
dc.identifier.citationEnergy Procedia. 2017, 137 291-298.nb_NO
dc.identifier.issn1876-6102
dc.identifier.urihttp://hdl.handle.net/11250/2480637
dc.description.abstractIn this paper we present a new two-stage stochastic mathematical programming model that determines the optimal jack-up vessel strategy for an offshore wind farm. Given an offshore wind farm site, and distance to shore the model decides when, and for how long, a jack-up vessel should be chartered in order to minimize the total expected cost. The model considers both chartering and operational costs of the jack-up vessels, and the downtime costs of the wind farm which occurs when the wind turbines are not producing electricity. The model considers uncertainty both in the weather conditions and in when and how many components fail each year at the wind farm.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleOptimizing Jack-up vessel strategies for maintaining offshore wind farmsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber291-298nb_NO
dc.source.volume137nb_NO
dc.source.journalEnergy Procedianb_NO
dc.identifier.doi10.1016/j.egypro.2017.10.353
dc.identifier.cristin1533268
dc.description.localcode© 2017 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).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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