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

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dc.citedby31
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.accessioned2023-05-29T06:57:18Z
dc.date.available2023-05-29T06:57:18Z
dc.date.issued2018
dc.description.abstractA 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 Ltden_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.renene.2017.08.051
dc.identifier.epage198
dc.identifier.scopus2-s2.0-85028090185
dc.identifier.spage183
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85028090185&doi=10.1016%2fj.renene.2017.08.051&partnerID=40&md5=8ba702abd9262bedd94feae6b789f989
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24234
dc.identifier.volume115
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleRenewable Energy
dc.titleDesign optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comforten_US
dc.typeArticleen_US
dspace.entity.typePublication
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