Modeling the thermal performance of passive roofing systems in a tropical climate

In order to curb the space cooling load in buildings in summer, various passive technologies have been applied on the roofs, including cool paint, roof ventilation, and mass/reflective insulation. It is highly desirable to evaluate the potential benefits of applying these passive technologies on the...

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Main Authors: Tong, Shanshan, Li, Hua
Outros autores: School of Mechanical and Aerospace Engineering
Formato: Conference Paper
Idioma:English
Publicado: 2015
Subjects:
Acceso en liña:https://hdl.handle.net/10356/107192
http://hdl.handle.net/10220/25389
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author Tong, Shanshan
Li, Hua
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Tong, Shanshan
Li, Hua
author_sort Tong, Shanshan
collection NTU
description In order to curb the space cooling load in buildings in summer, various passive technologies have been applied on the roofs, including cool paint, roof ventilation, and mass/reflective insulation. It is highly desirable to evaluate the potential benefits of applying these passive technologies on the roofs. In this work, the Complex Fast Fourier Transform (CFFT) method is introduced to predict the ceiling temperature and heat gain of multilayer roofs. A parameter study based on the CFFT model is conducted to investigate the impacts of rooftop surface reflectivity and insulation thickness on the thermal performance of roofs. It is concluded that, compared with the least reflective roofs of solar reflectivity 0.1, increasing the solar reflectivity of roof by 0.1 cuts down the daily heat gain by 4%, 5% and 7% respectively, when the indoor temperatures are set to 25°C, 22°C to 19°C. In addition, increasing the thickness of basic 15- cm unventilated roof by 5 cm contributes to reduce the daily heat gain by 6% on average. The heat gain reductions obtained by applying various passive technologies on roofs subjected to typical Singapore climate are evaluated, including cool paint, roof ventilation, expanded polystyrene (EPS) foam and radiant barrier (RB). The individual uses of the passive roofing technologies contribute to reduce the daily roof heat gain by 36~84%. Keyword: passive roofing system, transient roof temperature, tropical climate, Complex Fast Fourier Transform (CFFT) method.
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spelling ntu-10356/1071922023-03-04T17:07:43Z Modeling the thermal performance of passive roofing systems in a tropical climate Tong, Shanshan Li, Hua School of Mechanical and Aerospace Engineering HPSM/OPTI 2014 DRNTU::Engineering::Mechanical engineering::Energy conservation In order to curb the space cooling load in buildings in summer, various passive technologies have been applied on the roofs, including cool paint, roof ventilation, and mass/reflective insulation. It is highly desirable to evaluate the potential benefits of applying these passive technologies on the roofs. In this work, the Complex Fast Fourier Transform (CFFT) method is introduced to predict the ceiling temperature and heat gain of multilayer roofs. A parameter study based on the CFFT model is conducted to investigate the impacts of rooftop surface reflectivity and insulation thickness on the thermal performance of roofs. It is concluded that, compared with the least reflective roofs of solar reflectivity 0.1, increasing the solar reflectivity of roof by 0.1 cuts down the daily heat gain by 4%, 5% and 7% respectively, when the indoor temperatures are set to 25°C, 22°C to 19°C. In addition, increasing the thickness of basic 15- cm unventilated roof by 5 cm contributes to reduce the daily heat gain by 6% on average. The heat gain reductions obtained by applying various passive technologies on roofs subjected to typical Singapore climate are evaluated, including cool paint, roof ventilation, expanded polystyrene (EPS) foam and radiant barrier (RB). The individual uses of the passive roofing technologies contribute to reduce the daily roof heat gain by 36~84%. Keyword: passive roofing system, transient roof temperature, tropical climate, Complex Fast Fourier Transform (CFFT) method. Published version 2015-04-13T07:15:16Z 2019-12-06T22:26:21Z 2015-04-13T07:15:16Z 2019-12-06T22:26:21Z 2014 2014 Conference Paper Tong, S., & Li, H. (2014). Modeling the thermal performance of passive roofing systems in a tropical climate. WIT transactions on the built environment, 137, 443-452. https://hdl.handle.net/10356/107192 http://hdl.handle.net/10220/25389 10.2495/HPSM140411 en © 2014 Wessex Institute of Technology Press. This paper was published in WIT Transactions on the Built Environment and is made available as an electronic reprint (preprint) with permission of Wessex Institute of Technology Press. The paper can be found at the following official DOI: [http://dx.doi.org/10.2495/HPSM140411].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 10 p. application/pdf
spellingShingle DRNTU::Engineering::Mechanical engineering::Energy conservation
Tong, Shanshan
Li, Hua
Modeling the thermal performance of passive roofing systems in a tropical climate
title Modeling the thermal performance of passive roofing systems in a tropical climate
title_full Modeling the thermal performance of passive roofing systems in a tropical climate
title_fullStr Modeling the thermal performance of passive roofing systems in a tropical climate
title_full_unstemmed Modeling the thermal performance of passive roofing systems in a tropical climate
title_short Modeling the thermal performance of passive roofing systems in a tropical climate
title_sort modeling the thermal performance of passive roofing systems in a tropical climate
topic DRNTU::Engineering::Mechanical engineering::Energy conservation
url https://hdl.handle.net/10356/107192
http://hdl.handle.net/10220/25389
work_keys_str_mv AT tongshanshan modelingthethermalperformanceofpassiveroofingsystemsinatropicalclimate
AT lihua modelingthethermalperformanceofpassiveroofingsystemsinatropicalclimate