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Impact of inter-building longwave radiative exchanges on building energy performance and indoor overheating

Xie, X., Luo, Z. ORCID: https://orcid.org/0000-0002-2082-3958, Grimmond, C. S. B. ORCID: https://orcid.org/0000-0002-3166-9415, Sun, T. ORCID: https://orcid.org/0000-0002-2486-6146 and Morrison, W. (2021) Impact of inter-building longwave radiative exchanges on building energy performance and indoor overheating. Building and Environment. 108628. ISSN 0360-1323

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To link to this item DOI: 10.1016/j.buildenv.2021.108628

Abstract/Summary

Despite inter-building longwave radiative exchanges playing an important role in determining building energy and environmental performance, simulation tools (e.g. EnergyPlus) simplify this by assuming the surface temperature of surrounding buildings to be equal to the air temperature, and therefore cause bias. Here we propose a ‘spin-up’ approach to update building external surface temperature using either air or the isolated building temperatures. Neighbourhoods with different plan area fraction of buildings (λP) are analysed to assess the impact on building external surface temperatures, cooling and heating energy demand as well as indoor overheating degree hours. Using the default EnergyPlus method causes a large bias in all metrics in a dense urban area (λP = 0.6) and climates assessed (cf. the new method): external wall temperature (3 °C less, midday median), annual energy demand for cooling (17.1% less) and heating (6.2% higher), annual overheating degree hours during the day (> 28 °C, 24.5% less) and night (> 26 °C, 60.1% less). These biases are larger at lower latitudes. Thus, neglecting the surroundings influence on inter-building longwave radiation impacts critical design considerations of building energy and thermal performance in dense urban areas.

Item Type:Article
Refereed:No
Divisions:Interdisciplinary Research Centres (IDRCs) > Walker Institute
Science > School of the Built Environment > Construction Management and Engineering
Science > School of the Built Environment > Energy and Environmental Engineering group
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:101466
Publisher:Elsevier

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