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dc.contributor.authorHalvorsen-Weare, Elin Espeland
dc.contributor.authorNonås, Lars Magne
dc.date.accessioned2022-12-02T12:25:54Z
dc.date.available2022-12-02T12:25:54Z
dc.date.created2022-11-23T10:36:08Z
dc.date.issued2022-06-30
dc.identifier.isbn978-82-14-07927-2
dc.identifier.urihttps://hdl.handle.net/11250/3035633
dc.description.abstractThis report contains a summary of state-of-the-art for maritime logistics planning of maintenance activities at offshore wind farms within mathematical programming and simulation. It presents a description of a shift from a preventive and corrective maintenance paradigm to a predictive planning regime and its effect on the modelling approaches for maritime logistics planning. A planned innovation in NorthWind: SmartMOW is presented where the plan is to integrate information on degradation of components from digital twins. This report has been prepared as part of NorthWind (Norwegian Research Centre on Wind Energy) co-financed by the Research Council of Norway, industry and research partners. Read more at www.northwindresearch.no.en_US
dc.language.isoengen_US
dc.publisherSINTEF Oceanen_US
dc.relation.ispartofseriesSINTEF rapport;2022:01147 A
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titlePredictive maintenance logistics for offshore wind farmsen_US
dc.title.alternativePredictive maintenance logistics for offshore wind farmsen_US
dc.typeResearch reporten_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 SINTEF Ocean ASen_US
dc.source.pagenumber18en_US
dc.identifier.cristin2078996
cristin.ispublishedtrue
cristin.fulltextoriginal


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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