dc.contributor.author | Stålhane, Magnus | |
dc.contributor.author | Vefsnmo, Hanne | |
dc.contributor.author | Halvorsen-Weare, Elin Espeland | |
dc.contributor.author | Hvattum, Lars Magnus | |
dc.contributor.author | Nonås, Lars Magne | |
dc.date.accessioned | 2018-01-30T10:15:15Z | |
dc.date.available | 2018-01-30T10:15:15Z | |
dc.date.created | 2016-10-18T09:46:57Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Energy Procedia. 2016, 94 357-366. | nb_NO |
dc.identifier.issn | 1876-6102 | |
dc.identifier.uri | http://hdl.handle.net/11250/2480600 | |
dc.description.abstract | In 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.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Vessel Fleet Optimization for Maintenance Operations at Offshore Wind Farms under Uncertainty | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 357-366 | nb_NO |
dc.source.volume | 94 | nb_NO |
dc.source.journal | Energy Procedia | nb_NO |
dc.identifier.doi | 10.1016/j.egypro.2016.09.195 | |
dc.identifier.cristin | 1392503 | |
dc.relation.project | Norges forskningsråd: 205298 | nb_NO |
dc.relation.project | Norges forskningsråd: 193823 | nb_NO |
dc.relation.project | Norges forskningsråd: 217443 | nb_NO |
dc.description.localcode | © 2016 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.unitcode | 194,60,25,0 | |
cristin.unitname | Institutt for industriell økonomi og teknologiledelse | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |