Investigation of the optimal position of wind sensors and wind turbines on a building: A computational fluid dynamics study
Most numerical studies on flow over buildings simplify the geometry of the roof and assume that it is flat. This may lead to misrepresentation of the flow as the roof of actual buildings contains some sort of roughness. In this study, the flow over the administrative building of Universiti Tenaga Na...
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2023
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my.uniten.dspace-230262023-05-29T14:37:29Z Investigation of the optimal position of wind sensors and wind turbines on a building: A computational fluid dynamics study Chan L. Mohd Roslan M.E.B. Mohamed H.B. 57139456500 57189299886 57136356100 Most numerical studies on flow over buildings simplify the geometry of the roof and assume that it is flat. This may lead to misrepresentation of the flow as the roof of actual buildings contains some sort of roughness. In this study, the flow over the administrative building of Universiti Tenaga Nasional is investigated for multidirectional flow conditions. The actual topology of the building is gridded and simulated using the steady-state Reynolds-averaged Navier-Stokes equation. Four points at the top of the building are identified and the wind statistics at these designated locations at three different heights are investigated. The optimal location with the highest average wind speed and consistent wind speeds for all wind angles is identified and is earmarked as a potential location to install the wind turbine. � 2017 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T06:37:29Z 2023-05-29T06:37:29Z 2017 Article 10.11591/ijeecs.v8.i3.pp756-761 2-s2.0-85037665041 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037665041&doi=10.11591%2fijeecs.v8.i3.pp756-761&partnerID=40&md5=62ca9792bb839eaff706a541d2f2ad67 https://irepository.uniten.edu.my/handle/123456789/23026 8 3 756 761 Institute of Advanced Engineering and Science Scopus |
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Universiti Tenaga Nasional |
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Most numerical studies on flow over buildings simplify the geometry of the roof and assume that it is flat. This may lead to misrepresentation of the flow as the roof of actual buildings contains some sort of roughness. In this study, the flow over the administrative building of Universiti Tenaga Nasional is investigated for multidirectional flow conditions. The actual topology of the building is gridded and simulated using the steady-state Reynolds-averaged Navier-Stokes equation. Four points at the top of the building are identified and the wind statistics at these designated locations at three different heights are investigated. The optimal location with the highest average wind speed and consistent wind speeds for all wind angles is identified and is earmarked as a potential location to install the wind turbine. � 2017 Institute of Advanced Engineering and Science. All rights reserved. |
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57139456500 |
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57139456500 Chan L. Mohd Roslan M.E.B. Mohamed H.B. |
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Chan L. Mohd Roslan M.E.B. Mohamed H.B. |
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Chan L. Mohd Roslan M.E.B. Mohamed H.B. Investigation of the optimal position of wind sensors and wind turbines on a building: A computational fluid dynamics study |
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Chan L. |
title |
Investigation of the optimal position of wind sensors and wind turbines on a building: A computational fluid dynamics study |
title_short |
Investigation of the optimal position of wind sensors and wind turbines on a building: A computational fluid dynamics study |
title_full |
Investigation of the optimal position of wind sensors and wind turbines on a building: A computational fluid dynamics study |
title_fullStr |
Investigation of the optimal position of wind sensors and wind turbines on a building: A computational fluid dynamics study |
title_full_unstemmed |
Investigation of the optimal position of wind sensors and wind turbines on a building: A computational fluid dynamics study |
title_sort |
investigation of the optimal position of wind sensors and wind turbines on a building: a computational fluid dynamics study |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2023 |
_version_ |
1806426070268772352 |
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13.214268 |