Passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysia

The impact of global warming has urged a prudent spending of energy in the building sector nowadays. In general, a typical HVAC system consumes about 60%e70% of the total energy consumption of a building. Therefore, designing an energy-efficient HVAC system is essential to alleviate the worsening gr...

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Main Authors:	Mukhtar, Azfarizal, Ng, Khai Ching, Yusoff, Mohd Zamri
Format:	Article
Language:	English English English
Published:	Elsevier Ltd 2018
Subjects:	TA174 Engineering design
Online Access:	http://irep.iium.edu.my/72022/ http://irep.iium.edu.my/72022/ http://irep.iium.edu.my/72022/ http://irep.iium.edu.my/72022/1/72022_Passive%20thermal%20performance%20prediction.pdf http://irep.iium.edu.my/72022/2/72022_Passive%20thermal%20performance%20prediction_SCOPUS.pdf http://irep.iium.edu.my/72022/3/72022_Passive%20thermal%20performance%20prediction_WOS.pdf

id	iium-72022
recordtype	eprints
spelling	iium-720222019-05-08T07:18:11Z http://irep.iium.edu.my/72022/ Passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysia Mukhtar, Azfarizal Ng, Khai Ching Yusoff, Mohd Zamri TA174 Engineering design The impact of global warming has urged a prudent spending of energy in the building sector nowadays. In general, a typical HVAC system consumes about 60%e70% of the total energy consumption of a building. Therefore, designing an energy-efficient HVAC system is essential to alleviate the worsening greenhouse effect. Recent research works have reported that geothermal energy coupled with optimal insulation is the best approach in minimising the energy consumption. Thus, we attempted to analyse the thermal performance of a naturally-ventilated underground shelter in a hot and humid country such as Malaysia. We proposed an optimal design to enhance the sustainability of the low-energy building. The model was numerically simulated using CFD, and a statistical surrogate model was implemented for obtaining the optimal design. The findings indicated that the room temperature of the shelter was significantly lower than the outdoor temperature during the hottest month and vice-versa during the coldest month. Moreover, the proposed optimal design showed about 3.4% increase in ventilation rate and about 2.8% decrease in room temperature as compared to the previous design. In general, the current work could be used as a guideline for designing low-energy building in Malaysia. Elsevier Ltd 2018-02-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72022/1/72022_Passive%20thermal%20performance%20prediction.pdf application/pdf en http://irep.iium.edu.my/72022/2/72022_Passive%20thermal%20performance%20prediction_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/72022/3/72022_Passive%20thermal%20performance%20prediction_WOS.pdf Mukhtar, Azfarizal and Ng, Khai Ching and Yusoff, Mohd Zamri (2018) Passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysia. Renewable Energy, 123. pp. 342-352. ISSN 0960-1481 http://doi.org/10.1016/j.renene.2018.02.022 10.1016/j.renene.2018.02.022
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TA174 Engineering design
spellingShingle	TA174 Engineering design Mukhtar, Azfarizal Ng, Khai Ching Yusoff, Mohd Zamri Passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysia
description	The impact of global warming has urged a prudent spending of energy in the building sector nowadays. In general, a typical HVAC system consumes about 60%e70% of the total energy consumption of a building. Therefore, designing an energy-efficient HVAC system is essential to alleviate the worsening greenhouse effect. Recent research works have reported that geothermal energy coupled with optimal insulation is the best approach in minimising the energy consumption. Thus, we attempted to analyse the thermal performance of a naturally-ventilated underground shelter in a hot and humid country such as Malaysia. We proposed an optimal design to enhance the sustainability of the low-energy building. The model was numerically simulated using CFD, and a statistical surrogate model was implemented for obtaining the optimal design. The findings indicated that the room temperature of the shelter was significantly lower than the outdoor temperature during the hottest month and vice-versa during the coldest month. Moreover, the proposed optimal design showed about 3.4% increase in ventilation rate and about 2.8% decrease in room temperature as compared to the previous design. In general, the current work could be used as a guideline for designing low-energy building in Malaysia.
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	Passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysia
title_short	Passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysia
title_full	Passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysia
title_fullStr	Passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysia
title_full_unstemmed	Passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysia
title_sort	passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in malaysia
publisher	Elsevier Ltd
publishDate	2018
url	http://irep.iium.edu.my/72022/ http://irep.iium.edu.my/72022/ http://irep.iium.edu.my/72022/ http://irep.iium.edu.my/72022/1/72022_Passive%20thermal%20performance%20prediction.pdf http://irep.iium.edu.my/72022/2/72022_Passive%20thermal%20performance%20prediction_SCOPUS.pdf http://irep.iium.edu.my/72022/3/72022_Passive%20thermal%20performance%20prediction_WOS.pdf
first_indexed	2023-09-18T21:42:07Z
last_indexed	2023-09-18T21:42:07Z
_version_	1777413209987219456

Passive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysia

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