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dc.contributor.authorBakhoday Paskyabi, Mostafa
dc.contributor.authorKrutova, Maria
dc.contributor.authorNielsen, Finn Gunnar
dc.contributor.authorReuder, Joachim
dc.contributor.authorGuernaoui, O. EL.
dc.date.accessioned2021-08-04T11:37:16Z
dc.date.available2021-08-04T11:37:16Z
dc.date.created2020-12-01T12:14:55Z
dc.date.issued2020
dc.identifier.issn1742-6588
dc.identifier.urihttps://hdl.handle.net/11250/2766203
dc.description.abstractIn this paper, the primary objective is to investigate flow structures in the wake of wind turbines based on applying a truncated Proper Orthogonal Decomposition (POD) approach. This scheme decomposes the three-dimensional velocity fields produced by the high-fidelity PArallelized LES Model (PALM) into a number of orthogonal spatial modes and time-dependent weighting coefficients. PALM has been combined with an actuator disk model with rotation to incorporate the effects of a turbine array. The time-dependent deterministic weights from applying the POD scheme are replaced by stochastic weights, estimated from two independent stochastic techniques that aim to account for unresolved small-scale features for a number of POD modes. We then reconstruct the flow field by a small number of stochastic modes to investigate how well the applied stochastic methodologies can reproduce the flow field compared to the original LES results.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.titleOn Stochastic Reduced-Order and LES-based Models of Offshore Wind Turbine Wakesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.articlenumber012018en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1088/1742-6596/1669/1/012018
dc.identifier.cristin1854763
dc.source.journalJournal of Physics: Conference Series (JPCS)en_US
dc.identifier.citationJournal of Physics: Conference Series (JPCS). 2020, 1669, 012018en_US
dc.source.volume1669en_US


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