Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102870
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorSun, Hen_US
dc.creatorGao, Xen_US
dc.creatorYang, Hen_US
dc.date.accessioned2023-11-17T02:58:19Z-
dc.date.available2023-11-17T02:58:19Z-
dc.identifier.issn0360-5442en_US
dc.identifier.urihttp://hdl.handle.net/10397/102870-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Sun, H., Gao, X., & Yang, H. (2019). Validations of three-dimensional wake models with the wind field measurements in complex terrain. Energy, 189, 116213 is available at https://doi.org/10.1016/j.energy.2019.116213.en_US
dc.subjectThree-dimensional wake modelsen_US
dc.subjectValidation of wake modelsen_US
dc.subjectWake effecten_US
dc.subjectWind field experimentsen_US
dc.titleValidations of three-dimensional wake models with the wind field measurements in complex terrainen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume189en_US
dc.identifier.doi10.1016/j.energy.2019.116213en_US
dcterms.abstractThis paper aims to validate the analytical three-dimensional wake models by the wind data measured at a complex-terrain hilly wind farm in China. The wake models take into account the variation of wind speed in the vertical direction. The profiles of wind speeds were scanned by two moveable lidars. Two scanning modes were adopted to obtain the profiles of wind speed in vertical and horizontal directions, respectively. When validating the wake model for a single wind turbine in the vertical direction, the model can predict the wind speeds with acceptable accuracy, especially at positions beyond 10D downstream distance or above 100 m height. Some large errors were found at positions less than 40 m height. Wind speeds in two symmetrical side sections showed different distributions at the same downwind positions. When validating the wake model for multiple wind turbines in horizontal direction, the model also had a reliable accuracy at the far wake positions and near the inflow measuring site, but it cannot predict the wind deficits before an operating wind turbine and was not accurate in some complex-terrain situations. Suggestions and factors were given to be considered for improving the wake models in the future.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnergy, 15 Dec. 2019, v. 189, 116213en_US
dcterms.isPartOfEnergyen_US
dcterms.issued2019-12-15-
dc.identifier.scopus2-s2.0-85072838932-
dc.identifier.eissn1873-6785en_US
dc.identifier.artn116213en_US
dc.description.validate202310 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBEEE-0310-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong Polytechnic University; National Natural Science Funds of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS14684158-
dc.description.oaCategoryGreen (AAM)en_US
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