Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80393
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dc.contributorDepartment of Building Services Engineeringen_US
dc.creatorSun, Hen_US
dc.creatorYang, Hen_US
dc.date.accessioned2019-02-20T01:14:26Z-
dc.date.available2019-02-20T01:14:26Z-
dc.identifier.urihttp://hdl.handle.net/10397/80393-
dc.descriptionApplied Energy Symposium and Forum, Renewable Energy Integration with Mini/Microgrids, REM 2017, 18–20 October 2017, Tianjin, Chinaen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsCopyright © 2018 The Authors. Published by Elsevier Ltd.en_US
dc.rightsThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Sun, H., & Yang, H. (2018). Study on three wake models’ effect on wind energy estimation in Hong Kong. Energy Procedia, 145, 271-276 is available at https://doi.org/10.1016/j.egypro.2018.04.050en_US
dc.subjectWake modelsen_US
dc.subjectWind energyen_US
dc.subjectWind energy output estimationen_US
dc.titleStudy on three wake models' effect on wind energy estimation in Hong Kongen_US
dc.typeConference Paperen_US
dc.identifier.spage271en_US
dc.identifier.epage276en_US
dc.identifier.volume145en_US
dc.identifier.doi10.1016/j.egypro.2018.04.050en_US
dcterms.abstractWake effect is one of the most vital factors in wind farm layout design and energy output estimation. Some wake models have been used to improve the power generation estimation precision. In this study, three typical wake models (Jensen wake model, two-dimensional (2D) Jensen wake model and Jensen-Gaussian wake model) are compared and adopted to estimate the offshore wind energy output in Hong Kong. Both the total electricity generation and power output from each wind turbine are compared when different wake models are used. The results show that the three different wake models have not produced significant different results on their total energy output estimations. The estimation error from the 2D Jensen wake model and Jensen-Gaussian wake model compared with the Jensen wake model are 1.55% and 0.38%, respectively. However, the wake's effect on each wind turbine's power estimation cannot be ignored, which is important to wind turbine's structural study. Based on the 2D Jensen wake model, an assumption of 3D Jensen-Gaussian wake model is discussed at the end of this paper, which is supposed to be studied in the near future. In conclusion, this study contributes to wake model selection, wind farm layout design and wake model's further development.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnergy procedia, 2018, v. 145, p. 271-276en_US
dcterms.isPartOfEnergy procediaen_US
dcterms.issued2018-
dc.identifier.scopus2-s2.0-85056151456-
dc.relation.conferenceApplied Energy Symposium and Forum [REM]en_US
dc.identifier.eissn1876-6102en_US
dc.description.validate201902 bcmaen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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