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dc.contributor.authorBacke, Stian
dc.contributor.authorHaugland, Dag
dc.contributor.editorBektaş, Tolga
dc.contributor.editorConiglio, Stefano
dc.contributor.editorMartinez-Sykora, Antonio
dc.contributor.editorVoß, Stefan
dc.date.accessioned2018-08-01T07:42:25Z
dc.date.available2018-08-01T07:42:25Z
dc.date.issued2017
dc.PublishedBacke S, Haugland D. Strategic optimization of offshore wind farm installation. Lecture Notes in Computer Science. 2017;10572 LNCS:285-299eng
dc.identifier.issn1611-3349en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttps://hdl.handle.net/1956/17935
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.en_US
dc.language.isoengeng
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture Notes in Computer Scienceeng
dc.subjectOffshore wind installationeng
dc.subjectMixed integer linear programmingeng
dc.subjectFleet optimizationeng
dc.titleStrategic optimization of offshore wind farm installationen_US
dc.typeChapter
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2018-03-23T13:39:21Z
dc.description.versionacceptedVersionen_US
dc.rights.holderCopyright 2017 Springeren_US
dc.identifier.doihttps://doi.org/10.1007/978-3-319-68496-3_19
dc.identifier.cristin1509604
dc.source.journalLecture Notes in Computer Science


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