Effectively modeling surface temperature and evaluating mean radiant temperature in tropical outdoor industrial environments

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Effectively modeling surface temperature and evaluating mean radiant temperature in tropical outdoor industrial environments
Title:
Effectively modeling surface temperature and evaluating mean radiant temperature in tropical outdoor industrial environments
Other Titles:
Building and Environment
Publication Date:
11 July 2019
Citation:
Po-Yen Lai, Jun Hao Koh, Wee Shing Koh, Huizhe Liu, Effectively modeling surface temperature and evaluating mean radiant temperature in tropical outdoor industrial environments, Building and Environment, Volume 169, 2020, 106277, ISSN 0360-1323, https://doi.org/10.1016/j.buildenv.2019.106277.
Abstract:
Radiant heat gain severely endangers thermal comfort and dramatically increases building energy consumptions in a tropical outdoor urban environment. To rapidly evaluate outdoor thermal features, this paper presents a three-dimensional integrated numerical model to assess building surface temperature and mean radiant temperature (MRT) in typical outdoor industrial environments of Singapore. For proper accounting of solar irradiance and radiant heat fluxes, Perez all-weather model and finite volume discrete ordinates method (fvDOM) are integrated into numerical code. Under the climate conditions of Singapore, i.e., light wind and intense solar irradiance, the model adopts a daily-average convection coefficient to simplify air dynamics to solve the surface energy balance equation so that the model efficiency can be significantly improved. Surface thermal load computed using the model has been validated by the on-site measurement for a contemporary and a matured industrial building on two sunny days. By comparing simulated and measured results, the corresponding coefficient of determination (R2) and the refined index of agreement (RIA) are respectively > 0.99 and > 0.8 to indicate that the model agrees well with the measurement. Also, the model is used to predict the MRT map around the industrial environment and to demonstrate that tree shading reduces mean MRT of 6.3 °C for daily-average and 13.29 °C at noon in a street canyon under a 25% greenery coverage ratio.
License type:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Funding Info:
Singapore Maritime Institute (SMI-2016-MA-04)
Description:
ISSN:
0360-1323
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