Computational Analysis to Factor Wind into the Design of an Architectural Environment

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 wi...

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Main Authors: Hassam Nasarullah Chaudhry, John Kaiser Calautit, Ben Richard Hughes
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2015/234601
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spelling doaj-f895273b3c5a4e938d0b6d03241049a52020-11-24T23:17:51ZengHindawi LimitedModelling and Simulation in Engineering1687-55911687-56052015-01-01201510.1155/2015/234601234601Computational Analysis to Factor Wind into the Design of an Architectural EnvironmentHassam Nasarullah Chaudhry0John Kaiser Calautit1Ben Richard Hughes2School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, P.O. Box 294345, Dubai, UAEDepartment of Mechanical Engineering, University of Sheffield, Sheffield S10 2TN, UKDepartment of Mechanical Engineering, University of Sheffield, Sheffield S10 2TN, UKThe 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. The three-dimensional Reynolds-averaged Navier-Stokes (RANS) equations along with the momentum and continuity equations were solved for obtaining the velocity and pressure field. 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 benchmark 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 work highlighted the potential of using advanced computational fluid dynamics in order to factor wind into the design of any architectural environment.http://dx.doi.org/10.1155/2015/234601
collection DOAJ
language English
format Article
sources DOAJ
author Hassam Nasarullah Chaudhry
John Kaiser Calautit
Ben Richard Hughes
spellingShingle Hassam Nasarullah Chaudhry
John Kaiser Calautit
Ben Richard Hughes
Computational Analysis to Factor Wind into the Design of an Architectural Environment
Modelling and Simulation in Engineering
author_facet Hassam Nasarullah Chaudhry
John Kaiser Calautit
Ben Richard Hughes
author_sort Hassam Nasarullah Chaudhry
title Computational Analysis to Factor Wind into the Design of an Architectural Environment
title_short Computational Analysis to Factor Wind into the Design of an Architectural Environment
title_full Computational Analysis to Factor Wind into the Design of an Architectural Environment
title_fullStr Computational Analysis to Factor Wind into the Design of an Architectural Environment
title_full_unstemmed Computational Analysis to Factor Wind into the Design of an Architectural Environment
title_sort computational analysis to factor wind into the design of an architectural environment
publisher Hindawi Limited
series Modelling and Simulation in Engineering
issn 1687-5591
1687-5605
publishDate 2015-01-01
description 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. The three-dimensional Reynolds-averaged Navier-Stokes (RANS) equations along with the momentum and continuity equations were solved for obtaining the velocity and pressure field. 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 benchmark 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 work highlighted the potential of using advanced computational fluid dynamics in order to factor wind into the design of any architectural environment.
url http://dx.doi.org/10.1155/2015/234601
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AT johnkaisercalautit computationalanalysistofactorwindintothedesignofanarchitecturalenvironment
AT benrichardhughes computationalanalysistofactorwindintothedesignofanarchitecturalenvironment
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