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dc.contributor.authorPanjwani, Balram
dc.contributor.authorKvittem, Marit Irene
dc.contributor.authorEliassen, Lene
dc.contributor.authorOrmberg, Harald
dc.contributor.authorGodvik, Marte
dc.identifier.citationJournal of Physics: Conference Series. 2019, 1356 (1), 1-16.nb_NO
dc.description.abstractA wind turbine operating inside a wind farm is subjected to increased turbulence intensity and reduced wind speeds resulting in increased fatigue loadings and reduced power production. Furthermore, meandering of the wakes results in increased dynamic loading of the wind turbine. In the present study, a standalone dynamic wake meandering (DWM) model has been developed and implemented in commercial code SIMA. The standalone DIWA model does not require a direct coupling with aeroelastic code, hence it is computationally fast. Although the standalone tool is a good alternative for power and thrust prediction, it does not have the capability to predict the turbine aeroelastic loads. The new DWM program is referred as "Disturbed Inflow Wind Analyzer" (DIWA). Benchmarking studies of DIWA with the literature data are presented and discussed. Overall the DIWA compares well with the literature data and the discrepancies between DIWA and the literature data are discussed. The present studies show that the wake deficit profiles are very sensitive to the eddy viscosity parameters. Finally, the turbulence boxes generated using DIWA have been used for understanding the aeroelastic behaviour of NREL 5MW turbine and one of the wind turbines from the Lillgrund wind park. The estimated power production using both aeroelastic coupled with DIWA turbulence boxes and standalone DIWA (without aeroelastic) are in good agreement with the literature data. The trends of fatigue loads are predicted well, with a few exceptions.nb_NO
dc.description.sponsorshipThe work was performed at SINTEF, Norway under a project funded by Equinor ASA, Norway. The authors gratefully acknowledge the financial support received from the Equinor ASA, Norway. The authors also want to thank Dr. Jason Jonkman and Dr. Nicholas Hamilton from NREL, for providing the SOWFA and FastFarm data.nb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleEffect of Wake Meandering on Aeroelastic Response of a Wind Turbine Placed in a Parknb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.rights.holderContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltdnb_NO
dc.source.journalJournal of Physics: Conference Seriesnb_NO
cristin.unitnameMetallproduksjon og prosessering
cristin.unitnameSINTEF Ocean
cristin.unitnameEnergi og transport

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