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dc.contributor.authorPutri, Rieska Mawarni
dc.contributor.authorCheynet, Etienne
dc.contributor.authorObhrai, Charlotte
dc.contributor.authorJakobsen, Jasna Bogunovic
dc.description.abstractThe one-point and two-point power spectral densities of the wind velocity fluctuations are studied using the observations from an offshore mast at Vindeby Offshore Wind Farm, for a wide range of thermal stratifications of the atmosphere. A comparison with estimates from the FINO1 platform (North Sea) is made to identify shared spectral characteristics of turbulence between different offshore sites. The sonic anemometer measurement data at 6, 18, and 45 m a.m.s.l. (above mean sea level) are considered. These heights are lower than at the FINO1 platform, where the measurements were collected at heights between 40 and 80 m. Although the sonic anemometers are affected by transducer-flow distortion, the spectra of the along-wind velocity component are consistent with those from FINO1 when surface-layer scaling is used, for near-neutral and moderately diabatic conditions. The co-coherence of the along-wind component, estimated for vertical separations under near-neutral conditions, matches remarkably well with the results from the dataset at the FINO1 platform. These findings mark an important step toward more comprehensive coherence models for wind load calculation. The turbulence characteristics estimated from the present dataset are valuable for better understanding the structure of turbulence in the marine atmospheric boundary layer and are relevant for load estimations of offshore wind turbines. Yet, the datasets recorded at Vindeby and FINO1 cover only the lower part of the rotor of state-of-the-art offshore wind turbines. Further improvements in the characterisation of atmospheric turbulence for wind turbine design will require measurements at heights above 100 m a.m.s.l.en_US
dc.publisherCopernicus Publicationsen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleTurbulence in a coastal environment: the case of Vindebyen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holderCopyright Author(s) 2022en_US
dc.source.journalWind Energy Scienceen_US
dc.identifier.citationWind Energy Science. 2022, 7 (4), 1693-1710.en_US

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