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A Field Study on Thermal Comfort in Multi-Storey Residential Buildings in the Karst Area of Guilin

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  • Xinzhi Gong

    (Guangxi Key Laboratory of New Energy and Building Energy Saving, College of Civil Engineering and Architecture, Guilin University of Technology, Guilin 541004, China
    State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510640, China)

  • Qinglin Meng

    (State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510640, China)

  • Yilei Yu

    (The Design School, Herberger Institute for Design and the Arts, Arizona State University, Tempe, AZ 85281, USA)

Abstract

It is important to consider reducing energy use while improving occupants’ indoor thermal comfort. The actual thermal comfort needs and demands should be considered to determine the indoor thermal environment design. In previous studies, research has not been carried out on thermal comfort in karst areas. Thus, a long-term field investigation was carried out on multi-storey residential buildings in the karst area of Guilin city centre during summer (from August 2019 to September 2019) and winter (from December 2019 to January 2020). In this study, the indoor thermal environments of three categories of dwellings were analysed. A total of 77 residential buildings with 144 households were randomly selected, and 223 occupants from 18 to 80 years old participated. A total of 414 effective questionnaires were collected from the subjects. The results show that there was an obvious conflict between the predicted mean vote (PMV) and the thermal sensation vote (TSV). The neutrality temperatures calculated by the regression method were 24.2 °C in summer and 16.2 °C in winter. The thermal comfort range was observed at operative temperatures of 20.9–27.5 °C in summer and 12.2–20.1 °C in winter. The desired thermal sensation for people in the Guilin karst area was not always reflected in the thermal neutrality range. A preference for warmness was identified in the survey.

Suggested Citation

  • Xinzhi Gong & Qinglin Meng & Yilei Yu, 2021. "A Field Study on Thermal Comfort in Multi-Storey Residential Buildings in the Karst Area of Guilin," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12764-:d:682207
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    References listed on IDEAS

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    1. 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.
    2. Wu, Zhibin & Li, Nianping & Wargocki, Pawel & Peng, Jingqing & Li, Jingming & Cui, Haijiao, 2019. "Field study on thermal comfort and energy saving potential in 11 split air-conditioned office buildings in Changsha, China," Energy, Elsevier, vol. 182(C), pages 471-482.
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