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Thermal history and adaptation: Does a long-term indoor thermal exposure impact human thermal adaptability?

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  • Ning, Haoran
  • Wang, Zhaojun
  • Ji, Yuchen

Abstract

Harbin is located in China’s severe cold area with a long and cold winter. Currently, some buildings are overheated in winter, which not only waste energy, but also may weaken human adaptability to the cold climate. A long-term field tracking study was carried out from 2013 to 2015 covering two space heating periods in Harbin. Two types of residential heating environments, respectively warm exposure and cool exposure environments were investigated to discover relation between different indoor heating temperatures and human thermal responses. Totally, 36 residents volunteered as participants. The subjective survey and environmental parameters monitoring were simultaneously conducted. The results show that all participants could adapt to their thermal environments well. But the participants’ thermal adaptation was evidently discrepant in different exposures. The neutral temperature was 1.9°C higher in warm exposure than cool exposure sample after clothing insulation standardization, which suggests the possible effects of physiological and psychological adaptation. The discrepancy between AMV and PMV was greater in cool versus warm exposure. The results indicate that a higher thermal comfort zone might be formed for the residents exposing to a high indoor heating temperature for a long period in winter. Furthermore, a broader acceptable temperature range was presented in this climate area than ASHRAE steady-state comfort zone in winter. These findings have far-reaching implication for reasonable energy use.

Suggested Citation

  • Ning, Haoran & Wang, Zhaojun & Ji, Yuchen, 2016. "Thermal history and adaptation: Does a long-term indoor thermal exposure impact human thermal adaptability?," Applied Energy, Elsevier, vol. 183(C), pages 22-30.
  • Handle: RePEc:eee:appene:v:183:y:2016:i:c:p:22-30
    DOI: 10.1016/j.apenergy.2016.08.157
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    1. Singh, Manoj Kumar & Mahapatra, Sadhan & Atreya, S.K., 2011. "Adaptive thermal comfort model for different climatic zones of North-East India," Applied Energy, Elsevier, vol. 88(7), pages 2420-2428, July.
    2. Ogbonna, A.C. & Harris, D.J., 2008. "Thermal comfort in sub-Saharan Africa: Field study report in Jos-Nigeria," Applied Energy, Elsevier, vol. 85(1), pages 1-11, January.
    3. Wan, Kevin K.W. & Li, Danny H.W. & Pan, Wenyan & Lam, Joseph C., 2012. "Impact of climate change on building energy use in different climate zones and mitigation and adaptation implications," Applied Energy, Elsevier, vol. 97(C), pages 274-282.
    4. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2011. "Influence analysis of building types and climate zones on energetic, economic and environmental performances of BCHP systems," Applied Energy, Elsevier, vol. 88(9), pages 3097-3112.
    5. Yao, Runming & Liu, Jing & Li, Baizhan, 2010. "Occupants' adaptive responses and perception of thermal environment in naturally conditioned university classrooms," Applied Energy, Elsevier, vol. 87(3), pages 1015-1022, March.
    6. Yao, Runming & Li, Baizhan & Steemers, Koen, 2005. "Energy policy and standard for built environment in China," Renewable Energy, Elsevier, vol. 30(13), pages 1973-1988.
    7. Indraganti, Madhavi, 2010. "Thermal comfort in naturally ventilated apartments in summer: Findings from a field study in Hyderabad, India," Applied Energy, Elsevier, vol. 87(3), pages 866-883, March.
    8. 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.
    9. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad & Zhang, Xiliang, 2011. "Potential of renewable energy systems in China," Applied Energy, Elsevier, vol. 88(2), pages 518-525, February.
    10. Peeters, Leen & Dear, Richard de & Hensen, Jan & D'haeseleer, William, 2009. "Thermal comfort in residential buildings: Comfort values and scales for building energy simulation," Applied Energy, Elsevier, vol. 86(5), pages 772-780, May.
    11. von Grabe, Jörn, 2016. "Potential of artificial neural networks to predict thermal sensation votes," Applied Energy, Elsevier, vol. 161(C), pages 412-424.
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