Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/82307
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dc.contributorDepartment of Building Services Engineering-
dc.creatorZhao, F-
dc.creatorGao, Y-
dc.creatorWang, TY-
dc.creatorYuan, JS-
dc.creatorGao, XX-
dc.date.accessioned2020-05-05T05:59:30Z-
dc.date.available2020-05-05T05:59:30Z-
dc.identifier.urihttp://hdl.handle.net/10397/82307-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Zhao, F.; Gao, Y.; Wang, T.; Yuan, J.; Gao, X. Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements. Sustainability 2020, 12, 2467 is available at https://dx.doi.org/10.3390/su12062467en_US
dc.subjectWake characteristicsen_US
dc.subjectComplex terrainen_US
dc.subjectField measurementen_US
dc.subjectWake subsidenceen_US
dc.subjectWind shearen_US
dc.subjectLiDARen_US
dc.titleExperimental study on wake evolution of a 1.5 mw wind turbine in a complex terrain wind farm based on LiDAR measurementsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage14-
dc.identifier.volume12-
dc.identifier.issue6-
dc.identifier.doi10.3390/su12062467-
dcterms.abstractTo study the wake development characteristics of wind farms in complex terrains, two different types of Light Detection and Ranging (LiDAR) were used to conduct the field measurements in a mountain wind farm in Hebei Province, China. Under two different incoming wake conditions, the influence of wind shear, terrain and incoming wind characteristics on the development trend of wake was analyzed. The results showed that the existence of wind shear effect causes asymmetric distribution of wind speed in the wake region. The relief of the terrain behind the turbine indicated a subsidence of the wake centerline, which had a linear relationship with the topography altitudes. The wake recovery rates were calculated, which comprehensively validated the conclusion that the wake recovery rate is determined by both the incoming wind turbulence intensity in the wake and the magnitude of the wind speed.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainability, 2 Mar. 2020, v. 12, no. 6, 2467, p. 1-14-
dcterms.isPartOfSustainability-
dcterms.issued2020-
dc.identifier.isiWOS:000523751400314-
dc.identifier.scopus2-s2.0-85082880224-
dc.identifier.eissn2071-1050-
dc.identifier.artn2467-
dc.description.validate202006 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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