Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort

A good ventilation system is essential for an underground shelter to provide a comfortable environment with better indoor air quality. Ventilation shafts are widely used for ventilation purpose in an under- ground shelter. In the current work, the position of the ventilation shaft is optimized by em...

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Main Authors:	Mukhtar, Azfarizal, Ng, Khai Ching, Yusoff, Mohd Zamri
Format:	Article
Language:	English English
Published:	Elsevier 2018
Subjects:	TA174 Engineering design
Online Access:	http://irep.iium.edu.my/72005/ http://irep.iium.edu.my/72005/ http://irep.iium.edu.my/72005/ http://irep.iium.edu.my/72005/7/72005%20Design%20optimization%20for%20ventilation%20shafts.pdf http://irep.iium.edu.my/72005/8/72005%20Design%20optimization%20for%20ventilation%20shafts%20SCOPUS.pdf

id	iium-72005
recordtype	eprints
spelling	iium-720052019-05-08T04:07:22Z http://irep.iium.edu.my/72005/ Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort Mukhtar, Azfarizal Ng, Khai Ching Yusoff, Mohd Zamri TA174 Engineering design A good ventilation system is essential for an underground shelter to provide a comfortable environment with better indoor air quality. Ventilation shafts are widely used for ventilation purpose in an under- ground shelter. In the current work, the position of the ventilation shaft is optimized by employing the Response Surface Methodology (RSM). Two RSMs are constructed. The first RSM is constructed by 32 CFD models via Fractional Factorial Design (FFD) and the second model is constructed by 53 CFD models via Central Composite Rotatable Design (CCRD). The first and the second models are subsequently analysed by using the linear and quadratic models, respectively. The result indicates that both models lead to similar predictions on the inputs (factors) that strongly affect the response. Moreover, the response surface values agree well with the CFD values. Based on desirability functions, the optimized design improves the ventilation system by 24.5% as compared to the actual design. Also, the optimized design meets the comfort temperature and design criteria recommended for a naturally-ventilated underground shelter. Overall, this study finds that statistical analysis is a useful tool for the improvements of venti- lation rate and thermal comfort Elsevier 2018-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72005/7/72005%20Design%20optimization%20for%20ventilation%20shafts.pdf application/pdf en http://irep.iium.edu.my/72005/8/72005%20Design%20optimization%20for%20ventilation%20shafts%20SCOPUS.pdf Mukhtar, Azfarizal and Ng, Khai Ching and Yusoff, Mohd Zamri (2018) Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort. Renewable Energy, 115. pp. 183-198. ISSN 0960-1481 https://www.sciencedirect.com/science/article/pii/S0960148117308091 10.1016/j.renene.2017.08.051
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA174 Engineering design
spellingShingle	TA174 Engineering design Mukhtar, Azfarizal Ng, Khai Ching Yusoff, Mohd Zamri Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort
description	A good ventilation system is essential for an underground shelter to provide a comfortable environment with better indoor air quality. Ventilation shafts are widely used for ventilation purpose in an under- ground shelter. In the current work, the position of the ventilation shaft is optimized by employing the Response Surface Methodology (RSM). Two RSMs are constructed. The first RSM is constructed by 32 CFD models via Fractional Factorial Design (FFD) and the second model is constructed by 53 CFD models via Central Composite Rotatable Design (CCRD). The first and the second models are subsequently analysed by using the linear and quadratic models, respectively. The result indicates that both models lead to similar predictions on the inputs (factors) that strongly affect the response. Moreover, the response surface values agree well with the CFD values. Based on desirability functions, the optimized design improves the ventilation system by 24.5% as compared to the actual design. Also, the optimized design meets the comfort temperature and design criteria recommended for a naturally-ventilated underground shelter. Overall, this study finds that statistical analysis is a useful tool for the improvements of venti- lation rate and thermal comfort
format	Article
author	Mukhtar, Azfarizal Ng, Khai Ching Yusoff, Mohd Zamri
author_facet	Mukhtar, Azfarizal Ng, Khai Ching Yusoff, Mohd Zamri
author_sort	Mukhtar, Azfarizal
title	Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort
title_short	Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort
title_full	Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort
title_fullStr	Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort
title_full_unstemmed	Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort
title_sort	design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort
publisher	Elsevier
publishDate	2018
url	http://irep.iium.edu.my/72005/ http://irep.iium.edu.my/72005/ http://irep.iium.edu.my/72005/ http://irep.iium.edu.my/72005/7/72005%20Design%20optimization%20for%20ventilation%20shafts.pdf http://irep.iium.edu.my/72005/8/72005%20Design%20optimization%20for%20ventilation%20shafts%20SCOPUS.pdf
first_indexed	2023-09-18T21:42:06Z
last_indexed	2023-09-18T21:42:06Z
_version_	1777413208231903232

Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort

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