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dc.contributor.authorBacke, Stian
dc.contributor.authorHaugland, Dag
dc.date.accessioned2018-03-26T12:31:14Z
dc.date.available2018-03-26T12:31:14Z
dc.date.created2017-11-01T09:26:50Z
dc.date.issued2017
dc.identifier.citationLecture Notes in Computer Science. 2017, 10572 LNCS 285-299.nb_NO
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11250/2492118
dc.description.abstractThis work describes logistical planning of offshore wind farm (OWF) installation through linear programming. A mixed integer linear programming (MILP) model is developed to analyze cost-effective port and vessel strategies for offshore installation operations. The model seeks to minimize total costs through strategic decisions, that is decisions on port and vessel fleet and mix. Different vessels, ports and weather restrictions over a fixed time horizon are considered in the model. Several deterministic test cases with historic weather data are implemented in AMPL, and run with the CPLEX solver. The results provide valuable insight into economic impact of strategic decisions. Numerical experiments on instances indicate that decision aid could be more reliable if large OWFs are considered in fractionated parts, alternatively by developing heuristics.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titleStrategic optimization of offshore wind farm installationnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber285-299nb_NO
dc.source.volume10572 LNCSnb_NO
dc.source.journalLecture Notes in Computer Sciencenb_NO
dc.identifier.doi10.1007/978-3-319-68496-3_19
dc.identifier.cristin1509604
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [International Conference on Computational Logistics] Locked until 27.9.2018 due to copyright restrictions. The final authenticated version is available online at: https://link.springer.com/chapter/10.1007%2F978-3-319-68496-3_19nb_NO
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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