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dc.contributor.authorSchottler, Jannik
dc.contributor.authorBartl, Jan Michael Simon
dc.contributor.authorMühle, Franz Volker
dc.contributor.authorSætran, Lars Roar
dc.contributor.authorPeinke, Joachim
dc.contributor.authorHölling, Michael
dc.identifier.citationWind Energy Science. 2018, 3 257-273.nb_NO
dc.description.abstractThis paper presents an investigation of wakes behind model wind turbines, including cases of yaw misalignment. Two different turbines were used and their wakes are compared, isolating effects of boundary conditions and turbine specifications. Laser Doppler anemometry was used to scan full planes of wakes normal to the main flow direction, six rotor diameters downstream of the respective turbine. The wakes of both turbines are compared in terms of the time-averaged main flow component, the turbulent kinetic energy and the distribution of velocity increments. The shape of the velocity increments' distributions is quantified by the shape parameter λ2. The results show that areas of strongly heavy-tailed distributed velocity increments surround the velocity deficits in all cases examined. Thus, a wake is significantly wider when two-point statistics are included as opposed to a description limited to one-point quantities. As non-Gaussian distributions of velocity increments affect loads of downstream rotors, our findings impact the application of active wake steering through yaw misalignment as well as wind farm layout optimizations and should therefore be considered in future wake studies, wind farm layout and farm control approaches. Further, the velocity deficits behind both turbines are deformed to a kidney-like curled shape during yaw misalignment, for which parameterization methods are introduced. Moreover, the lateral wake deflection during yaw misalignment is investigated.nb_NO
dc.publisherCopernicus Publicationsnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleWind tunnel experiments on wind turbine wakes in yaw: redefining the wake widthnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalWind Energy Sciencenb_NO
dc.description.localcode© Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.nb_NO
cristin.unitnameInstitutt for energi- og prosessteknikk

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