Khan, MAI, Noakes, CJ and Toropov, VV (2012) Development of a numerical optimization approach to ventilation system design to control airborne contaminant dispersion and occupant comfort. Building Simulation, 5 (1). 39 - 50. ISSN 1996-3599
Abstract
Airflow, contaminant and temperature during heating and ventilation in a model room represented by a square cavity with inlet and outlet ports, has been studied. The aim of this work is concerned with the development and implementation of a practical and robust optimization scheme based on the combination of Genetic algorithm and response surface methodology (RSM) with the aim of assisting hospital ward designers and managers /operators to enhance infection control (i.e. reduce the risk of airborne transmission) without compromising patient comfort and environmental impact.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | (c) 2012, Springer Verlag / Tsinghua University Press. This is an author produced version of a paper published in Building Simulation. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at link.springer.com |
Keywords: | Optimization; Contaminant dispersion; Ventilation system; Computational fluid dynamics; Ventilation design; Multi-objective optimization; Response surface method; Genetic algorithm; Thermal comfort; Infection risk |
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) > Inst for Pathogen Control Engineering (Leeds) 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: | 13 Feb 2014 12:29 |
Last Modified: | 15 Sep 2014 02:00 |
Published Version: | http://dx.doi.org/10.1007/s12273-012-0058-7 |
Status: | Published |
Publisher: | Springer Verlag / Tsinghua University Press |
Identification Number: | 10.1007/s12273-012-0058-7 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:77743 |