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dc.contributor.authorMyrhaug, Dag
dc.date.accessioned2021-02-11T08:35:16Z
dc.date.available2021-02-11T08:35:16Z
dc.date.created2020-11-26T10:24:30Z
dc.date.issued2020
dc.identifier.citationJournal of Engineering for the Maritime Environment (Part M). 2020, .en_US
dc.identifier.issn1475-0902
dc.identifier.urihttps://hdl.handle.net/11250/2727319
dc.description.abstractThe article addresses how the wave power in shallow water can be estimated based on available wind and wave statistics for a deep water ocean area. The average statistical properties of the wave power in shallow water expressed in terms of the mean value and the standard deviation are presented. Results are exemplified by using long-term wind and wave statistics from the same ocean area in the Northern North Sea. Overall, it appears that there is agreement between the results based on these inputs from wind and wave statistics. The presented analytical method should be useful for making preliminary estimates of the wave power potential in shallow water using either available deep water wind statistics or deep water wave statistics, which enhances the possibilities for assessing further the wave power potential in, for example, near-coastal zones.en_US
dc.language.isoengen_US
dc.publisherSAGEen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleEstimation of wave power in shallow water using deep water wind and wave statisticsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber6en_US
dc.source.journalJournal of Engineering for the Maritime Environment (Part M)en_US
dc.identifier.doi10.1177/1475090220969284
dc.identifier.cristin1852682
dc.description.localcode© 2020. This is the authors' accepted and refereed manuscript to the article. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ The final authenticated version is available online at: http://dx.doi.org/10.1177/1475090220969284en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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