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dc.contributor.authorKelberlau, Felix
dc.contributor.authorMann, Jakob
dc.date.accessioned2020-05-20T12:03:08Z
dc.date.available2020-05-20T12:03:08Z
dc.date.created2020-04-30T12:05:17Z
dc.date.issued2020
dc.identifier.issn2366-7443
dc.identifier.urihttps://hdl.handle.net/11250/2655179
dc.description.abstractTurbulence velocity spectra are of high importance for the estimation of loads on wind turbines and other built structures, as well as for fitting measured turbulence values to turbulence models. Spectra generated from reconstructed wind vectors of Doppler beam swinging (DBS) wind lidars differ from spectra based on one-point measurements. Profiling wind lidars have several characteristics that cause these deviations, namely cross-contamination between the three velocity components, averaging along the lines of sight and the limited sampling frequency. This study focuses on analyzing the cross-contamination effect. We sample wind data in a computer-generated turbulence box to predict lidar-derived turbulence spectra for three wind directions and four measurement heights. The data are then processed with the conventional method and with the method of squeezing that reduces the longitudinal separation distances between the measurement locations of the different lidar beams by introducing a time lag into the data processing. The results are analyzed and compared to turbulence velocity spectra from field measurements with a Windcube V2 wind lidar and ultrasonic anemometers as reference. We successfully predict lidar-derived spectra for all test cases and found that their shape is dependent on the angle between the wind direction and the lidar beams. With conventional processing, cross-contamination affects all spectra of the horizontal wind velocity components. The method of squeezing improves the spectra to an acceptable level only for the case of the longitudinal wind velocity component and when the wind blows parallel to one of the lines of sight. The analysis of the simulated spectra described here improves our understanding of the limitations of turbulence measurements with DBS profiling wind lidar.en_US
dc.language.isoengen_US
dc.publisherCopernicus Publicationsen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCross-contamination effect on turbulence spectra from Doppler beam swinging wind lidaren_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.journalWind Energy Scienceen_US
dc.identifier.doi10.5194/wes-5-519-2020
dc.identifier.cristin1808825
dc.description.localcode© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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