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Simulation and measurement of air temperatures and mean radiant temperatures in a radiantly heated indoor space

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  • Guo, Hongshan
  • Ferrara, Maria
  • Coleman, James
  • Loyola, Mauricio
  • Meggers, Forrest

Abstract

Determining variations in air temperature and mean radiant temperature (MRT), two primary environmental parameters directly linked to thermal comfort, can be challenging. The ease and effectiveness of both measurement and simulation are quite different for determining air temperature and MRT. We review these challenges and present an experiment demonstrating how these differences in complexity and resolution can lead to challenges coupling these variables, whose effect on thermal comfort is interdependent. Bearing these challenges in mind, we measured and simulated the air temperatures and MRTs inside a radiantly heated high bay laboratory space. We found the spatial variation of the MRTs to vary by 5 °C at the elevation of 1.3 m, which is much larger than the variations observed in air temperature. The variations in measured air temperature were up to 2 °C. This calls for improvement to current tools and methodologies for measuring and simulating the radiant environment, particularly at locations closer to the exterior envelope where hot and cold surfaces affect both air temperature and MRT. It is important to improve the evaluation techniques for MRT, as we observe its spatial variation to be much greater than that of air temperature, while its measurement is limited and usually ignored in practice.

Suggested Citation

  • Guo, Hongshan & Ferrara, Maria & Coleman, James & Loyola, Mauricio & Meggers, Forrest, 2020. "Simulation and measurement of air temperatures and mean radiant temperatures in a radiantly heated indoor space," Energy, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:energy:v:193:y:2020:i:c:s036054421932064x
    DOI: 10.1016/j.energy.2019.116369
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    References listed on IDEAS

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    1. Jia, Hongyuan & Pang, Xiufeng & Haves, Philip, 2018. "Experimentally-determined characteristics of radiant systems for office buildings," Applied Energy, Elsevier, vol. 221(C), pages 41-54.
    2. Byeongjoon Noh & Juntae Son & Hansaem Park & Seongju Chang, 2017. "In-Depth Analysis of Energy Efficiency Related Factors in Commercial Buildings Using Data Cube and Association Rule Mining," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
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    Cited by:

    1. Yang, Zixu & Sun, Hongli & Wang, Baolong & Xiao, Hansong & Dong, Xian & Shi, Wenxing & Lin, Borong, 2022. "Experimental investigation on indoor environment and energy performance of convective terminals," Energy, Elsevier, vol. 251(C).
    2. Xie, Xing & Xia, Fei & Zhao, Yu-qian & Xu, Bin & Wang, Yang-liang & Pei, Gang, 2022. "Parametric study on the effect of radiant heating system on indoor thermal comfort with/without external thermal disturbance," Energy, Elsevier, vol. 249(C).
    3. Wang, Yanmin & Li, Zhiwei & Liu, Junjie & Pei, Mingzhe & Zhao, Yan & Lu, Xuan, 2023. "Data-driven analysis and prediction of indoor characteristic temperature in district heating systems," Energy, Elsevier, vol. 282(C).

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