Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/58626
DC FieldValue
dc.titlePredicting Window Condensation Potential for a Large Viewing Gallery
dc.contributor.authorBong, T.Y.
dc.contributor.authorXue, H.
dc.contributor.authorLiew, H.C.
dc.date.accessioned2014-06-17T05:16:37Z
dc.date.available2014-06-17T05:16:37Z
dc.date.issued1998-03
dc.identifier.citationBong, T.Y.,Xue, H.,Liew, H.C. (1998-03). Predicting Window Condensation Potential for a Large Viewing Gallery. Building and Environment 33 (2-3) : 143-150. ScholarBank@NUS Repository.
dc.identifier.issn03601323
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/58626
dc.description.abstractA numerical method for predicting the likelihood that moisture may condense on the glazed fenestration of a large air-conditioned viewing gallery is presented. The study is conducted by using a three-dimensional k-∈ turbulence model and tropical weather data. The relationships between the occurrence of condensation, ambient air conditions and the time of day are obtained and analysed. The number of hours of moisture condensation on the glass panel that can be expected in a year is estimated. It is found that a 1°C increase in the temperature of the cool supply air into the air-conditioned space can significantly reduce the occurrence of condensation. © 1997 Published by Elsevier Science Ltd.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentMECHANICAL & PRODUCTION ENGINEERING
dc.description.sourcetitleBuilding and Environment
dc.description.volume33
dc.description.issue2-3
dc.description.page143-150
dc.description.codenBUEND
dc.identifier.isiutNOT_IN_WOS
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