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A Case Study of Refined Building Climate Zoning under Complicated Terrain Conditions in China

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  • Tianyu Zhang

    (Chongqing Climate Center, Chongqing Meteorological Administration, Chongqing 401147, China)

  • Xianyan Chen

    (National Climate Center, China Meteorological Administration, Beijing 100081, China)

  • Fen Zhang

    (Chongqing Climate Center, Chongqing Meteorological Administration, Chongqing 401147, China)

  • Zhi Yang

    (Chongqing Meteorological Administration, Chongqing 401147, China)

  • Yong Wang

    (Chongqing Climate Center, Chongqing Meteorological Administration, Chongqing 401147, China)

  • Yonghua Li

    (Chongqing Climate Center, Chongqing Meteorological Administration, Chongqing 401147, China)

  • Linxiao Wei

    (Chongqing Climate Center, Chongqing Meteorological Administration, Chongqing 401147, China)

Abstract

In this study, we first found that the few and sparse meteorological stations used in earlier comprehensive studies of building climate zoning in a complicated terrain area like Chongqing, China, may lead to the inapplicability of building energy efficiency standards in some areas. To address this issue, the study used daily data from 1908 extremely dense surface meteorological stations from 2011 to 2020 in Chongqing, China. In order to conduct fine zoning of building climate in Chongqing, China, GB50176-2016 and ASHRAE standard 169-2021 were employed, respectively. The findings indicated that by using the ASHRAE standard, the entire Chongqing region was classified into five climate zones. The Chongqing region was categorized into three different climate zones using China GB50176-2016: cold zone (CZ), hot summer and cold winter zone (HSCWZ), and mild zone (MZ). Not to be overlooked is the MZ (China’s GB50176-2016)/mixed-humid zone (ASHRAE standard), which is primarily situated at higher elevations in the southeast and northeast of Chongqing. In comparison to the HSCWZ/warm-humid zone, these zones have drastically different building energy efficiency regulations and approaches. According to preliminary projections, improved building climate zoning will to some extent increase building energy efficiency and reduce emissions in Chongqing. Finally, this study case can be replicated in different regions with complicated terrain.

Suggested Citation

  • Tianyu Zhang & Xianyan Chen & Fen Zhang & Zhi Yang & Yong Wang & Yonghua Li & Linxiao Wei, 2022. "A Case Study of Refined Building Climate Zoning under Complicated Terrain Conditions in China," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8530-:d:861139
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    References listed on IDEAS

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    1. Bai, Lujian & Yang, Liu & Song, Bing & Liu, Na, 2020. "A new approach to develop a climate classification for building energy efficiency addressing Chinese climate characteristics," Energy, Elsevier, vol. 195(C).
    2. Bai, Lujian & Wang, Shusheng, 2019. "Definition of new thermal climate zones for building energy efficiency response to the climate change during the past decades in China," Energy, Elsevier, vol. 170(C), pages 709-719.
    3. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2018. "Performance-based validation of climatic zoning for building energy efficiency applications," Applied Energy, Elsevier, vol. 212(C), pages 416-427.
    4. Qingwei Shi & Jingxin Gao & Xia Wang & Hong Ren & Weiguang Cai & Haifeng Wei, 2020. "Temporal and Spatial Variability of Carbon Emission Intensity of Urban Residential Buildings: Testing the Effect of Economics and Geographic Location in China," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    5. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2019. "Validation of the climatic zoning defined by ASHRAE standard 169-2013," Energy Policy, Elsevier, vol. 135(C).
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