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dc.contributor.authorSperstad, Iver Bakken
dc.contributor.authorStålhane, Magnus
dc.contributor.authorDinwoodie, Iain
dc.contributor.authorEndrerud, Ole-Erik Vestøl
dc.contributor.authorMartin, Rebecca
dc.contributor.authorWarner, Ethan
dc.date.accessioned2023-01-11T10:40:10Z
dc.date.available2023-01-11T10:40:10Z
dc.date.created2017-09-25T07:57:38Z
dc.date.issued2017
dc.identifier.citationSperstad, I. B., Stålhane, M., Dinwoodie, I., Endrerud, O. E. V., Martin, R., & Warner, E. (2017). Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms. Ocean Engineering, 145, 334-343.en_US
dc.identifier.issn0029-8018
dc.identifier.urihttps://hdl.handle.net/11250/3042661
dc.description.abstractOptimising the operation and maintenance (O&M) and logistics strategy of offshore wind farms implies the decision problem of selecting the vessel fleet for O&M. Different strategic decision support tools can be applied to this problem, but much uncertainty remains regarding both input data and modelling assumptions. This paper aims to investigate and ultimately reduce this uncertainty by comparing four simulation tools, one mathematical optimisation tool and one analytic spreadsheet-based tool applied to select the O&M access vessel fleet that minimizes the total O&M cost of a reference wind farm. The comparison shows that the tools generally agree on the optimal vessel fleet, but only partially agree on the relative ranking of the different vessel fleets in terms of total O&M cost. The robustness of the vessel fleet selection to various input data assumptions was tested, and the ranking was found to be particularly sensitive to the vessels' limiting significant wave height for turbine access. This is also the parameter with the greatest discrepancy between the tools, implying that accurate quantification and modelling of this parameter is crucial. The ranking is moderately sensitive to turbine failure rates and vessel day rates but less sensitive to electricity price and vessel transit speed.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.urihttp://www.sciencedirect.com/science/article/pii/S0029801817305280
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTesting the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farmsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe authorsen_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.pagenumber334-343en_US
dc.source.volume145en_US
dc.source.journalOcean Engineeringen_US
dc.identifier.doi10.1016/j.oceaneng.2017.09.009
dc.identifier.cristin1497461
dc.relation.projectEC/FP7/614020en_US
dc.relation.projectNorges forskningsråd: 193823en_US
cristin.unitcode217,8,5,0
cristin.unitnameInstitutt for maskin, bygg og materialteknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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