Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106197
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Civil and Environmental Engineering | en_US |
dc.creator | Yuan, YM | en_US |
dc.creator | Hao, HB | en_US |
dc.creator | Yu, ZY | en_US |
dc.creator | Zheng, X | en_US |
dc.creator | Wang, C | en_US |
dc.date.accessioned | 2024-05-03T00:45:44Z | - |
dc.date.available | 2024-05-03T00:45:44Z | - |
dc.identifier.issn | 1994-2060 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/106197 | - |
dc.language.iso | en | en_US |
dc.publisher | Hong Kong Polytechnic University, Department of Civil and Structural Engineering | en_US |
dc.rights | © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. | en_US |
dc.rights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. | en_US |
dc.rights | The following publication Yuming Yuan, Hongbin Hao, Ziying Yu, Xing Zheng & Chao Wang (2023) Experimental and numerical validation of a hybrid method for modelling the wake flow of two in-line wind turbines, Engineering Applications of Computational Fluid Mechanics, 17:1, 2270505 is available at https://dx.doi.org/10.1080/19942060.2023.2270505. | en_US |
dc.subject | In-line wind turbines | en_US |
dc.subject | Improved hybrid model | en_US |
dc.subject | Wind tunnel model test | en_US |
dc.subject | Aerodynamic performance | en_US |
dc.title | Experimental and numerical validation of a hybrid method for modelling the wake flow of two in-line wind turbines | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 17 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1080/19942060.2023.2270505 | en_US |
dcterms.abstract | To forecast the wake flow and power reduction affecting downstream turbines reliably and accurately, a hybrid wake model CFD(ALM)-IDWM was improved, in which the forecasting of V theta max is improved from linear to cubic. Then, a partially overlapping computational domain is added behind the far-wake domain of upstream wind turbine to calculate the aerodynamic performance of a downstream wind turbine, and the numerical model of full CFD(ALM) and CFD(ALM)-IDWM for two in-line wind turbines are developed. Subsequently, a wind tunnel model test on two in-line wind turbines was carried out to validate the full CFD(ALM) model firstly. Subsequently, the hybrid model of CFD(ALM)-IDWM is numerically validated by the full CFD(ALM) simulations. The results show that CFD(ALM)-IDWM cannot only predict the wake characteristics such as vortices and wakes in the wake region more accurately, but can also accurately simulate the average values of the downstream turbine thrust and torque. By ignoring certain flow field details including acceleration, turbulent viscosity, and Reynolds stress during the simulation process, the computational time is reduced. Base on the same CFD(ALM), the computation time of CFD(ALM)-IDWM was approximately 60% of that of full CFD(ALM). The longer the computational domain of IDWM, the greater reduction in computational time. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Engineering applications of computational fluid mechanics, 2023, v. 17, no. 1, 2270505 | en_US |
dcterms.isPartOf | Engineering applications of computational fluid mechanics | en_US |
dcterms.issued | 2023 | - |
dc.identifier.isi | WOS:001090738400001 | - |
dc.identifier.eissn | 1997-003X | en_US |
dc.identifier.artn | 2270505 | en_US |
dc.description.validate | 202405 bcrc | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China(National Natural Science Foundation of China (NSFC)) | en_US |
dc.description.fundingText | RISUD project of the Hong Kong Polytechnic University | en_US |
dc.description.fundingText | Key Laboratory Fund for Equipment Pre-research | en_US |
dc.description.fundingText | CSC studentship | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Yuan_Experimental_Numerical_Validation.pdf | 6.96 MB | Adobe PDF | View/Open |
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