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Broadening human thermal comfort range based on short-term heat acclimation

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  • Chong, Daokun
  • Zhu, Neng
  • Luo, Wei
  • Zhang, Zhiyu

Abstract

Elevating indoor temperature set-points can reduce cooling energy use. Short-term heat acclimation (HA), the artificially induced adaptation developed in three consecutive days, is an effective method to increase the occupants' acceptance to hot environments. However, the quantitative study on the effects of short-term HA on thermal comfort is lacking. To this end, simulated experiments were conducted in a climate chamber to test the difference of subjects' thermal comfort before and after short-term HA. The subjects were instructed to do intermittent treadmill exercise under hot conditions to reach a HA state. During the trials, core temperature, ratings of perceived exertion (RPE), and ratings of thermal sensation (RTS) were measured. Perceptual strain index (PeSI) was used to assess the effect of short-term HA. The results showed that short-term HA could improve subjects’ adaptability to warmer environments without sacrificing thermal comfort. Furthermore, a HA zone was defined based on the predicted percentage of dissatisfied (PPD) of 10%. The upper limit of the HA zone was 2.1 °C higher than that of the summer thermal comfort zone in ASHRAE Standard 55–2017. This finding suggests that a higher temperature set-point could be considered into the control of air-conditioning systems, contributing to building energy conservation.

Suggested Citation

  • Chong, Daokun & Zhu, Neng & Luo, Wei & Zhang, Zhiyu, 2019. "Broadening human thermal comfort range based on short-term heat acclimation," Energy, Elsevier, vol. 176(C), pages 418-428.
    • Handle: RePEc:eee:energy:v:176:y:2019:i:c:p:418-428
    DOI: 10.1016/j.energy.2019.04.007
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    References listed on IDEAS

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    1. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    2. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    3. Chung, William, 2011. "Review of building energy-use performance benchmarking methodologies," Applied Energy, Elsevier, vol. 88(5), pages 1470-1479, May.
    4. Duan, Shuangping & Luo, Zhiwen & Yang, Xinyan & Li, Yuguo, 2019. "The impact of building operations on urban heat/cool islands under urban densification: A comparison between naturally-ventilated and air-conditioned buildings," Applied Energy, Elsevier, vol. 235(C), pages 129-138.
    5. Wan, Kevin K.W. & Li, Danny H.W. & Lam, Joseph C., 2011. "Assessment of climate change impact on building energy use and mitigation measures in subtropical climates," Energy, Elsevier, vol. 36(3), pages 1404-1414.
    6. Lam, Joseph C. & Wan, Kevin K.W. & Cheung, K.L., 2009. "An analysis of climatic influences on chiller plant electricity consumption," Applied Energy, Elsevier, vol. 86(6), pages 933-940, June.
    7. Lam, Tony N.T. & Wan, Kevin K.W. & Wong, S.L. & Lam, Joseph C., 2010. "Impact of climate change on commercial sector air conditioning energy consumption in subtropical Hong Kong," Applied Energy, Elsevier, vol. 87(7), pages 2321-2327, July.
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    Cited by:

    1. Zheng, Guozhong & Wei, Changqing & Li, Kang, 2022. "Determining the summer indoor design parameters for pensioners’ buildings based on the thermal requirements of elderly people at different ages," Energy, Elsevier, vol. 258(C).
    2. Ido Nevat, 2022. "Climate-informed urban design via probabilistic acceptability criterion and Sharpe ratio selection," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 617-645, January.
    3. Pisello, A.L. & Pigliautile, I. & Andargie, M. & Berger, C. & Bluyssen, P.M. & Carlucci, S. & Chinazzo, G. & Deme Belafi, Z. & Dong, B. & Favero, M. & Ghahramani, A. & Havenith, G. & Heydarian, A. & K, 2021. "Test rooms to study human comfort in buildings: A review of controlled experiments and facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    4. Li, Qing & Zhang, Lianying & Zhang, Limao & Wu, Xianguo, 2021. "Optimizing energy efficiency and thermal comfort in building green retrofit," Energy, Elsevier, vol. 237(C).

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