Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102912
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorSun, Hen_US
dc.creatorYang, Hen_US
dc.date.accessioned2023-11-17T02:58:35Z-
dc.date.available2023-11-17T02:58:35Z-
dc.identifier.issn0306-2619en_US
dc.identifier.urihttp://hdl.handle.net/10397/102912-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2018 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2018. 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., & Yang, H. (2018). Study on an innovative three-dimensional wind turbine wake model. Applied Energy, 226, 483-493 is available at https://doi.org/10.1016/j.apenergy.2018.06.027.en_US
dc.subjectDerivation processen_US
dc.subjectThree-dimensional wake modelen_US
dc.subjectWake distribution predictionen_US
dc.subjectWind tunnel validationen_US
dc.titleStudy on an innovative three-dimensional wind turbine wake modelen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage483en_US
dc.identifier.epage493en_US
dc.identifier.volume226en_US
dc.identifier.doi10.1016/j.apenergy.2018.06.027en_US
dcterms.abstractIn this paper, to help handle wind farm optimization problems, an original analytical three-dimensional wind turbine wake model is presented and validated. Compared with existing analytical wake models, the presented wake model also considers the wind variation in the height direction, which is more accurate and closer to the reality. The wake model is based on the flow flux conservation law, and it assumes that the wind deficit downstream of a wind turbine is Gaussian-shaped. The derivation process is described in detail. The wake model is validated by published wind tunnel measurement data at both horizontal and vertical sections. Detailed relative errors are analyzed: the relative errors are mostly within 5% in the horizontal profile validation and within 3% in the vertical profile validation. Based on the wake model, a series of prediction results from multiple views and at different positions are demonstrated. From the predictions, the three-dimensional wake model is effective in describing the spatial distribution of wind velocity. It makes a theoretical contribution to the single wake study, and it is also meaningful to the further study of multiple wakes. Because height is considered in the three-dimensional wake model, the model can be used to optimize wind turbine hub heights and to solve more wind farm layout optimization problems, which will further contribute to increasing the energy output and decreasing the cost of energy.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationApplied energy, 15 Sept. 2018, v. 226, p. 483-493en_US
dcterms.isPartOfApplied energyen_US
dcterms.issued2018-09-15-
dc.identifier.scopus2-s2.0-85048566518-
dc.identifier.eissn1872-9118en_US
dc.description.validate202310 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBEEE-0467-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6846151-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Sun_Study_Innovative_Three-Dimensional.pdfPre-Published version1.96 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

106
Last Week
9
Last month
Citations as of Dec 21, 2025

Downloads

128
Citations as of Dec 21, 2025

SCOPUSTM   
Citations

142
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

121
Citations as of Dec 18, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.