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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 underground shelter. In the current work, the position of the ventilation shaft is optimized by empl...

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Main Authors: Mukhtar A., Ng K.C., Yusoff M.Z.
Other Authors: 57195426549
Format: Article
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-242342023-05-29T14:57:18Z Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort Mukhtar A. Ng K.C. Yusoff M.Z. 57195426549 55310814500 7003976733 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 underground 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 ventilation rate and thermal comfort. � 2017 Elsevier Ltd Final 2023-05-29T06:57:18Z 2023-05-29T06:57:18Z 2018 Article 10.1016/j.renene.2017.08.051 2-s2.0-85028090185 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028090185&doi=10.1016%2fj.renene.2017.08.051&partnerID=40&md5=8ba702abd9262bedd94feae6b789f989 https://irepository.uniten.edu.my/handle/123456789/24234 115 183 198 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
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 underground 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 ventilation rate and thermal comfort. � 2017 Elsevier Ltd
author2 57195426549
author_facet 57195426549
Mukhtar A.
Ng K.C.
Yusoff M.Z.
format Article
author Mukhtar A.
Ng K.C.
Yusoff M.Z.
spellingShingle Mukhtar A.
Ng K.C.
Yusoff M.Z.
Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort
author_sort Mukhtar A.
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 Ltd
publishDate 2023
_version_ 1806426657447215104
score 13.211869

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