Chaudhry, HN, Calautit, JK and Hughes, BR (2014) Numerical analysis of the integration of wind turbines into the design of the built environment. American Journal of Engineering and Applied Sciences, 7 (4). 363 - 373 (10). ISSN 1941-7020
Abstract
The effect of wind distribution on the architectural domain of the Bahrain Trade Centre was numerically analysed using Computational Fluid Dynamics (CFD). Using the numerical data, the power generation potential of the building integrated wind turbines was determined in response to the prevailing wind direction. Simulating a reference wind speed of 6 m/s, the findings from the study quantified an estimate power generation of 6.4 kW indicating a capacity factor of 2.9% for the computational model. At the windward side of the building, it was observed that the layers of turbulence intensified in inverse proportion to the height of the building with an average value of 0.45 J/kg. The air velocity was found to gradually increase in direct proportion to the elevation with the turbine located at higher altitude receiving maximum exposure to incoming wind. This study highlighted the potential of using advanced computational fluid dynamics in order to factor wind into the design of any architectural environment.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 Hassam Nasarullah Chaudhry, John Kaiser Calautit and Ben Richard Hughes. This open access article is distributed under a Creative Commons Attribution (CC-BY) 3.0 license |
Keywords: | Buildings; Computational Fluid Dynamics; Power Density; Turbulence; Wind Turbine |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) > Institute for Resilient Infrastructure (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Jan 2015 13:17 |
Last Modified: | 29 Jan 2015 13:17 |
Published Version: | http://thescipub.com/ |
Status: | Published |
Publisher: | Science Publications |
Identification Number: | 10.3844/ajeassp.2014.355.365 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82700 |