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 | 
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