dc.contributor.author | Halvorsen-Weare, Elin Espeland | |
dc.contributor.author | Nonås, Lars Magne | |
dc.date.accessioned | 2022-12-02T12:25:54Z | |
dc.date.available | 2022-12-02T12:25:54Z | |
dc.date.created | 2022-11-23T10:36:08Z | |
dc.date.issued | 2022-06-30 | |
dc.identifier.isbn | 978-82-14-07927-2 | |
dc.identifier.uri | https://hdl.handle.net/11250/3035633 | |
dc.description.abstract | This 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.iso | eng | en_US |
dc.publisher | SINTEF Ocean | en_US |
dc.relation.ispartofseries | SINTEF rapport;2022:01147 A | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Predictive maintenance logistics for offshore wind farms | en_US |
dc.title.alternative | Predictive maintenance logistics for offshore wind farms | en_US |
dc.type | Research report | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2022 SINTEF Ocean AS | en_US |
dc.source.pagenumber | 18 | en_US |
dc.identifier.cristin | 2078996 | |
cristin.ispublished | true | |
cristin.fulltext | original | |