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dc.contributor.authorNybø, Astrid
dc.contributor.authorNielsen, Finn Gunnar
dc.contributor.authorGodvik, Marte
dc.date.accessioned2022-06-08T12:30:18Z
dc.date.available2022-06-08T12:30:18Z
dc.date.created2022-04-20T12:11:24Z
dc.date.issued2022
dc.identifier.issn1095-4244
dc.identifier.urihttps://hdl.handle.net/11250/2997925
dc.description.abstractIn the design of offshore wind turbines, it is important to make a realistic estimate of the wind load. This is particularly important for floating wind turbines, having natural frequencies in a frequency range where the wind loads are high and large turbulent structures exist. This study shows that turbulence modelling greatly impacts the response of a 15-MW floating wind turbine. The turbulence models recommended by the International Electrotechnical Commission (IEC) are challenged by considering two additional models: Large Eddy Simulations (LES) and an approach using input from offshore wind measurements (TIMESR). The two standard models, the Kaimal spectrum with IEC coherence model (Kaimal) and the Mann spectral tensor model (Mann), differ in their coherence formulation. This results in higher standard deviations for the surge and pitch motions, and lower for the yaw motion, when applying Kaimal in comparison to Mann. For the specific floater of this study, more damage is obtained in the mooring lines when applying Kaimal. Applying the more realistic models, LES and TIMESR, increases the range of response further, concluding that the two standard turbulence models may lead to incorrect estimations of the response of a floating wind turbine. LES and TIMESR take atmospheric stability into account, which is proven to alter the response significantly.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleSensitivity of the dynamic response of a multimegawatt floating wind turbine to the choice of turbulence modelen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1002/we.2712
dc.identifier.cristin2017848
dc.source.journalWind Energyen_US
dc.source.pagenumber1013-1029en_US
dc.identifier.citationWind Energy. 2022, 25 (6), 1013-1029.en_US
dc.source.volume25en_US
dc.source.issue6en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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