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A new approach to develop a climate classification for building energy efficiency addressing Chinese climate characteristics

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  • Bai, Lujian
  • Yang, Liu
  • Song, Bing
  • Liu, Na

Abstract

Defining adequate building climate zones is a fundamental step toward building energy efficiency. In this study, a new method of building climate classification for China is developed based on the climate classification method recommended by ANSI/ASHRAE standard 169–2013, and the feasibility of applying the current approach recommend by ASHRAE in China is also analyzed quantitatively. It is found that the current ASHRAE method does not distinguish between the climatic features of the drainage basin of the Yangtse River and those of the Yunnan–Guizhou Plateau. It also does not distinguish between the climatic features of the Tibetan Plateau and those across the rest of China. To address these problems, cluster analysis was adopted as a rational method to revise the current primary zone definitions. Four different climate types have been found in the new primary zones. Finally, new climate classification zones for building energy efficiency under the general climatic conditions of China were developed. The new classification method divides China into 17 climate zones and provides more detailed climate information for engineers than the current climate zone standard does.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:195:y:2020:i:c:s036054422030089x
    DOI: 10.1016/j.energy.2020.116982
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    References listed on IDEAS

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    1. A.M. Fogheri, 2015. "Energy Efficiency in Public Buildings," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 3-4, pages 763-784.
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    Cited by:

    1. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2022. "Performance-based climatic zoning method for building energy efficiency applications using cluster analysis," Energy, Elsevier, vol. 255(C).
    2. Zhikun Ding & Rongsheng Liu & Zongjie Li & Cheng Fan, 2020. "A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management," Energies, MDPI, vol. 13(18), pages 1-33, September.
    3. 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.
    4. Carlos C. Duarte & Nuno D. Cortiços, 2022. "The Energy Efficiency Post-COVID-19 in China’s Office Buildings," Clean Technol., MDPI, vol. 4(1), pages 1-60, March.
    5. Jiang, Hou & Lu, Ning & Qin, Jun & Yao, Ling, 2021. "Hierarchical identification of solar radiation zones in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).

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