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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energyarrow_drop_down
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Energy
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Modelling of cool roof performance for double-skin roofs in tropical climate

Authors: Kishor T. Zingre; Winston Boo Thian Toh; Irene Yen Leng Lee; Swee Khian Wong; Man Pun Wan;

Modelling of cool roof performance for double-skin roofs in tropical climate

Abstract

Abstract Double-skin roof is a popular passive cooling solution to curb heat gain into buildings and cool roof is another emerging solution. This study proposed a novel CRHT (cool roof heat transfer) model for double-skin roof which is able to model the heat transfers for a double-skin roof combined with cool roof. The CRHT model was validated against experiments performed in two identically-configured, naturally ventilated apartments in Singapore. CRHT predictions match with experimental measurements with reasonable accuracy. White-color cool coating on a flat double-skin roof reduces the daily heat gain by 0.21 kWh/m 2 (or 51%), resulting peak indoor air temperature reduction by 2.4 °C on a sunny day. Furthermore, thermal performance of cool roof is compared with double-skin roof using the CRHT model. In the roof setup of the current study, double-skin roof is about 6% more effective than cool roof in reducing annual heat gain into the apartment during day time. However, the extra insulation of double-skin roof hinders the heat loss during night time, ensuing cool roof is almost equally effective in reducing net annual heat gain. The proposed CRHT model is generally applicable to any climate conditions as demonstrated by applying it for Mediterranean climate of Athens, Greece.

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    61
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
61
Top 1%
Top 10%
Top 10%