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Thermal Comfort in the Design Classroom for Architecture in the Cold Area of China

Author

Listed:
  • Zhiqiang Shi

    (School of Civil and Architectural Engineering, Anyang Institute of Technology, Anyang 455000, China)

  • Qianni Liu

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

  • Zhongjun Zhang

    (School of Civil and Architectural Engineering, Anyang Institute of Technology, Anyang 455000, China)

  • Tianhao Yue

    (School of Civil and Architectural Engineering, Anyang Institute of Technology, Anyang 455000, China)

Abstract

A field study of thermal comfort in a design classroom for teaching architecture and dormitory rooms in a cold area of China was conducted to provide a better understanding of the thermal comfort of students, and to clarify the energy saving potential of such building spaces. Respondents were the same for both the classroom and dormitories field survey, with a total of 89 students majoring in architecture. The students’ subjective thermal responses and their environmental parameters for two months before and after heating were collected and compared, and the results showed that when respondents adjusted their clothing it was not necessarily to adapt to the thermal environment but may have been due to habituation. The thermal neutral operative temperature was determined to be 23.1 °C in the design classroom and the thermal sensation was maintained at neutral-cool in the dormitory rooms. Although there were significant differences between the thermal environments in the classroom and dormitories, thermal acceptability was close to 100%. In the design classroom, the PMV (Predicted Mean Vote) predicted the indoor thermal environment relatively accurately, while in dormitory rooms, the PMV underestimated the thermal sensations. Students can tolerate lower temperatures, showing adaptability to the environment.

Suggested Citation

  • Zhiqiang Shi & Qianni Liu & Zhongjun Zhang & Tianhao Yue, 2022. "Thermal Comfort in the Design Classroom for Architecture in the Cold Area of China," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8307-:d:857521
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    References listed on IDEAS

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    1. Giulia Lamberti & Giacomo Salvadori & Francesco Leccese & Fabio Fantozzi & Philomena M. Bluyssen, 2021. "Advancement on Thermal Comfort in Educational Buildings: Current Issues and Way Forward," Sustainability, MDPI, vol. 13(18), pages 1-29, September.
    2. 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.
    3. Milen Balbis-Morejón & Javier M. Rey-Hernández & Carlos Amaris-Castilla & Eloy Velasco-Gómez & Julio F. San José-Alonso & Francisco Javier Rey-Martínez, 2020. "Experimental Study and Analysis of Thermal Comfort in a University Campus Building in Tropical Climate," Sustainability, MDPI, vol. 12(21), pages 1-18, October.
    4. Diakaki, Christina & Grigoroudis, Evangelos & Kabelis, Nikos & Kolokotsa, Dionyssia & Kalaitzakis, Kostas & Stavrakakis, George, 2010. "A multi-objective decision model for the improvement of energy efficiency in buildings," Energy, Elsevier, vol. 35(12), pages 5483-5496.
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    Cited by:

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