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

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dc.citedby21
dc.contributor.authorMukhtar A.en_US
dc.contributor.authorNg K.C.en_US
dc.contributor.authorYusoff M.Z.en_US
dc.contributor.authorid57195426549en_US
dc.contributor.authorid55310814500en_US
dc.contributor.authorid7003976733en_US
dc.date.accessioned2023-05-29T06:51:28Z
dc.date.available2023-05-29T06:51:28Z
dc.date.issued2018
dc.descriptionClimate control; Computational fluid dynamics; Energy efficiency; Energy utilization; Geothermal energy; Global warming; Greenhouse effect; Heat losses; Multiobjective optimization; Optimal systems; Ventilation; CFD analysis; Comfort temperatures; Low energy buildings; Outdoor temperature; Recent researches; Soil temperature; Thermal Performance; Total energy consumption; Structural designen_US
dc.description.abstractThe 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%�70% 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. � 2018 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.renene.2018.02.022
dc.identifier.epage352
dc.identifier.scopus2-s2.0-85042228689
dc.identifier.spage342
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85042228689&doi=10.1016%2fj.renene.2018.02.022&partnerID=40&md5=760db855e8ef3a08b3655ec1aaad26ac
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23746
dc.identifier.volume123
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleRenewable Energy
dc.titlePassive thermal performance prediction and multi-objective optimization of naturally-ventilated underground shelter in Malaysiaen_US
dc.typeArticleen_US
dspace.entity.typePublication
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