CFD and Wind Tunnel Study of the Performance of a Multi-Directional Wind Tower with Heat Transfer Devices

Hdl Handle:
http://hdl.handle.net/10545/620585
Title:
CFD and Wind Tunnel Study of the Performance of a Multi-Directional Wind Tower with Heat Transfer Devices
Authors:
Calautit, John Kaiser; Hughes, Ben; O'Connor, Dominic; Shahzad, Sally ( 0000-0003-2425-776X )
Abstract:
The aim of this work was to investigate the performance of a multi-directional wind tower integrated with heat transfer devices (HTD) using Computational Fluid Dynamics (CFD) and wind tunnel analysis. An experimental scale model was created using 3D printing. The scale model was tested in a closed-loop wind tunnel to validate the CFD data. Numerical results of the supply airflow were compared with experimental data. Good agreement was observed between both methods of analysis. Smoke visualisation test was conducted to analyse the air flow pattern in the test room attached underneath it. Results have indicated that the achieved indoor air speed was reduced by up to 17% following the integration of the cylindrical HTD. The effect of varying the number of HTD on the system's thermal performance were investigated. The work highlighted the potential of integrating HTD into wind towers in reducing the air temperature. The technology presented here is subject to a UK patent application (PCT/GB2014/052263).
Affiliation:
University of Sheffield; University of Derby
Citation:
Calautit JK, Hughes BR, O’Connor D & Shahzad SS. 2015. CFD and Wind Tunnel Study of the Performance of a Multi-Directional Wind Tower with Heat Transfer Devices. Energy Procedia, 75, 1692-1697
Journal:
Energy Procedia
Issue Date:
2015
URI:
http://hdl.handle.net/10545/620585
Additional Links:
http://www.sciencedirect.com/science/article/pii/S1876610215011935
Type:
Article
Language:
en
Appears in Collections:
Department of Mechanical Engineering & the Built Environment

Full metadata record

DC FieldValue Language
dc.contributor.authorCalautit, John Kaiseren
dc.contributor.authorHughes, Benen
dc.contributor.authorO'Connor, Dominicen
dc.contributor.authorShahzad, Sallyen
dc.date.accessioned2016-10-15T19:49:02Z-
dc.date.available2016-10-15T19:49:02Z-
dc.date.issued2015-
dc.identifier.citationCalautit JK, Hughes BR, O’Connor D & Shahzad SS. 2015. CFD and Wind Tunnel Study of the Performance of a Multi-Directional Wind Tower with Heat Transfer Devices. Energy Procedia, 75, 1692-1697en
dc.identifier.urihttp://hdl.handle.net/10545/620585-
dc.description.abstractThe aim of this work was to investigate the performance of a multi-directional wind tower integrated with heat transfer devices (HTD) using Computational Fluid Dynamics (CFD) and wind tunnel analysis. An experimental scale model was created using 3D printing. The scale model was tested in a closed-loop wind tunnel to validate the CFD data. Numerical results of the supply airflow were compared with experimental data. Good agreement was observed between both methods of analysis. Smoke visualisation test was conducted to analyse the air flow pattern in the test room attached underneath it. Results have indicated that the achieved indoor air speed was reduced by up to 17% following the integration of the cylindrical HTD. The effect of varying the number of HTD on the system's thermal performance were investigated. The work highlighted the potential of integrating HTD into wind towers in reducing the air temperature. The technology presented here is subject to a UK patent application (PCT/GB2014/052263).en
dc.language.isoenen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S1876610215011935en
dc.subjectCFDen
dc.subjectheat transfer devicesen
dc.subjecthot climatesen
dc.subjectpassive coolingen
dc.subjectwind tower/catcheren
dc.titleCFD and Wind Tunnel Study of the Performance of a Multi-Directional Wind Tower with Heat Transfer Devicesen
dc.typeArticleen
dc.contributor.departmentUniversity of Sheffielden
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalEnergy Procediaen
All Items in UDORA are protected by copyright, with all rights reserved, unless otherwise indicated.