Summary
Cool roof with high solar reflectance and high emittance has been demonstrated as an effective way to mitigate heat gain from buildings. The newly proposed metamaterial based radiative cooling surface (MRCS), has an average daily cooling power of 110 W.m–2, shows high technical potential for the application in buildings as cool roof. The single-family houses are excellent end users of MRCS roof account for the relatively low cooling load but high ratio of roof area to floor area. To investigate the cooling performance of MRCS roof, three kinds of roof (i.e., MRCS roof, shingle roof, and light-colored roof) are employed in a two-floor single-family house. The cooling benefit of MRCS roof is analyzed with EnergyPlus. The results show that the annual cooling electricity consumption of the house with MRCS roof can be reduced by 15.8% and 8.6% compared to the house with shingle roof and light-colored roof, respectively.
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Details
- Original title: Performance analysis of the metamaterial based cool roof for single-family houses.
- Record ID : 30026665
- Languages: English
- Subject: Environment
- Source: Proceedings of the 25th IIR International Congress of Refrigeration: Montréal , Canada, August 24-30, 2019.
- Publication date: 2019/08/24
- DOI: http://dx.doi.org/10.18462/iir.icr.2019.0217
Links
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Indexing
- Themes: Green buildings
- Keywords: Radiative cooling; Single-family house; Roof; Electricity; Heat transfer; Simulation; Energy saving; Natural cold; Cooling load
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Roof solar reflectance and cooling energy use: ...
- Author(s) : PARKER D. S., BARKASZKI S. F.
- Date : 1997
- Languages : English
- Source: Energy Build. - vol. 25 - n. 2
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PASSIVE SOLAR ENERGY IN INTELLIGENT BUILDINGS.
- Author(s) : PAASSEN A. H. C. van
- Date : 1988
- Languages : English
View record
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Analysis of the green roof cooling potential in...
- Author(s) : DEL BARRIO E. P.
- Date : 1998/04
- Languages : English
- Source: Energy Build. - vol. 27 - n. 2
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Simplified method to predict air-conditioning l...
- Author(s) : ZHANG Q., MURASE M.
- Date : 2013/06/16
- Languages : English
- Source: Clima 2013. 11th REHVA World Congress and 8th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings.
- Formats : PDF
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Machine-learning model of electric water heater...
- Author(s) : DONG J., MUNK J., CUI B., et al.
- Date : 2018/07/09
- Languages : English
- Source: 2018 Purdue Conferences. 5th International High Performance Buildings Conference at Purdue.
- Formats : PDF
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