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dc.contributor.authorNing, Xu
dc.contributor.authorKrutova, Maria
dc.contributor.authorPaskyabi, Mostafa Bakhoday
dc.date.accessioned2022-04-20T12:20:40Z
dc.date.available2022-04-20T12:20:40Z
dc.date.created2021-12-03T10:37:15Z
dc.date.issued2021
dc.identifier.issn1742-6588
dc.identifier.urihttps://hdl.handle.net/11250/2991644
dc.description.abstractThe Parallelized Large-Eddy Model (PALM) and the Simulator for Wind Farm Applications (SOWFA) have been used to simulate the marine boundary layer flows under neutral stability condition. The present work aims to investigate the capability of the two models in reproducing the structure of turbulence in the offshore environment through comparative analysis with a focus on wind spectra and coherence. Wind spectra obtained from the two LES solvers agree well with the empirical spectral model near the surface but show lower turbulence intensity in the low frequency range above the surface layer. Both models also produce highly consistent estimates of coherence with different horizontal and vertical separations, which match well with Davenport and IEC coherence models at height of 180m and 140m respectively. As the height decreases, LES predicts lower vertical coherence compared with the IEC model and the fitted decay coefficient for Davenport model grows as the separation distance increases.en_US
dc.language.isoengen_US
dc.publisherIOPen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAnalysis of offshore wind spectra and coherence under neutral stability condition using the two LES models PALM and SOWFAen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.articlenumber012027en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1088/1742-6596/2018/1/012027
dc.identifier.cristin1964083
dc.source.journalJournal of Physics: Conference Series (JPCS)en_US
dc.identifier.citationJournal of Physics: Conference Series (JPCS). 2021, 2018, 012027.en_US
dc.source.volume2018en_US


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