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Influence of ventilation-behavior during off-periods on energy-consumption for an intermittently heated room of dormitory buildings

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  • Yu, Jia
  • Kang, Yanming
  • Li, He
  • Zhong, Ke
  • Zhai, Zhiqiang (John)

Abstract

An alternative analytical model, which is derived by means of Laplace-transform method and method of variation of constant, is proposed for quick calculations of transient temperatures of building envelopes and indoor air. The analytical model is further validated against field test data, and the cumulative variation of the root-mean-square error is less than 2.1%. Moreover, the effects of air change rate (ACH) caused by natural ventilation during the off-periods on heating energy consumption (HEC) in an intermittent heating (IH) room of dormitory buildings are investigated for the whole heating season in Shanghai in the Hot Summer and Cold Winter zone of China. The results reveal that the occupants’ ventilation behavior (or natural ventilation controlled by the occupants) during non-heating periods significantly decreases the inside surface temperatures of building envelopes, and thus increases the HEC. The influence of ACH during non-heating periods on the HEC of the IH room are quantified by using multiple regression method. The predictive model can provide a theoretical basis to make an informed decision about the trade-off between the preference for ventilation and the control of energy consumption, while has the limitation to analyze the HEC under occupants’ actual ventilation behavior.

Suggested Citation

  • Yu, Jia & Kang, Yanming & Li, He & Zhong, Ke & Zhai, Zhiqiang (John), 2020. "Influence of ventilation-behavior during off-periods on energy-consumption for an intermittently heated room of dormitory buildings," Energy, Elsevier, vol. 197(C).
  • Handle: RePEc:eee:energy:v:197:y:2020:i:c:s0360544220302103
    DOI: 10.1016/j.energy.2020.117103
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    References listed on IDEAS

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    1. Hu, Shan & Yan, Da & Cui, Ying & Guo, Siyue, 2016. "Urban residential heating in hot summer and cold winter zones of China—Status, modeling, and scenarios to 2030," Energy Policy, Elsevier, vol. 92(C), pages 158-170.
    2. He, Yueer & Liu, Meng & Kvan, Thomas & Yan, Lu, 2019. "A quantity-quality-based optimization method for indoor thermal environment design," Energy, Elsevier, vol. 170(C), pages 1261-1278.
    3. Yu, Sha & Eom, Jiyong & Zhou, Yuyu & Evans, Meredydd & Clarke, Leon, 2014. "Scenarios of building energy demand for China with a detailed regional representation," Energy, Elsevier, vol. 67(C), pages 284-297.
    4. Xu, Luyi & Liu, Junjie & Pei, Jingjing & Han, Xu, 2013. "Building energy saving potential in Hot Summer and Cold Winter (HSCW) Zone, China—Influence of building energy efficiency standards and implications," Energy Policy, Elsevier, vol. 57(C), pages 253-262.
    5. Yu, Jinghua & Yang, Changzhi & Tian, Liwei & Liao, Dan, 2009. "Evaluation on energy and thermal performance for residential envelopes in hot summer and cold winter zone of China," Applied Energy, Elsevier, vol. 86(10), pages 1970-1985, October.
    6. Al-Sanea, Sami A. & Zedan, M.F., 2011. "Improving thermal performance of building walls by optimizing insulation layer distribution and thickness for same thermal mass," Applied Energy, Elsevier, vol. 88(9), pages 3113-3124.
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