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dc.contributor.authorSchafhirt, Sebastian
dc.contributor.authorMuskulus, Michael
dc.date.accessioned2019-01-08T10:08:04Z
dc.date.available2019-01-08T10:08:04Z
dc.date.created2018-12-26T13:24:49Z
dc.date.issued2018
dc.identifier.citationWind Energy Science. 2018, 3 25-41.nb_NO
dc.identifier.issn2366-7443
dc.identifier.urihttp://hdl.handle.net/11250/2579614
dc.description.abstractAbstract. Decoupled load simulations are a computationally efficient method to perform a dynamic analysis of an offshore wind turbine. Modelling the dynamic interactions between rotor and support structure, especially the damping caused by the rotating rotor, is of importance, since it influences the structural response significantly and has a major impact on estimating fatigue lifetime. Linear damping is usually used for this purpose, but experimentally and analytically derived formulas to calculate an aerodynamic damping ratio often show discrepancies to measurement and simulation data. In this study decoupled simulation methods with reduced and full rotor loads are compared to an integrated simulation. The accuracy of decoupled methods is evaluated and an optimization is performed to obtain aerodynamic damping ratios for different wind speeds that provide the best results with respect to variance and equivalent fatigue loads at distinct output locations. Results show that aerodynamic damping is not linear, but it is possible to match desired output using decoupled models. Moreover, damping ratios obtained from the empirical study suggest that aerodynamic damping increases for higher wind speeds.nb_NO
dc.language.isoengnb_NO
dc.publisherCopernicus Publicationsnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDecoupled simulations of offshore wind turbines with reduced rotor loads and aerodynamic dampingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber25-41nb_NO
dc.source.volume3nb_NO
dc.source.journalWind Energy Sciencenb_NO
dc.identifier.doi10.5194/wes-3-25-2018
dc.identifier.cristin1647173
dc.description.localcode© Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.nb_NO
cristin.unitcode194,64,91,0
cristin.unitnameInstitutt for bygg- og miljøteknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal