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Optimization Analysis of the Residential Window-to-Wall Ratio Based on Numerical Calculation of Energy Consumption in the Hot-Summer and Cold-Winter Zone of China

Author

Listed:
  • Haiqiang Liu

    (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China
    Department of Civil Engineering and Architecture, Graduate School of Science and Engineering, Saga University, Saga 840-8502, Japan)

  • Zhihao Zhang

    (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Xidong Ma

    (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Weite Lu

    (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China
    Department of Civil Engineering and Architecture, Graduate School of Science and Engineering, Saga University, Saga 840-8502, Japan)

  • Dongze Li

    (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Shoichi Kojima

    (Department of Civil Engineering and Architecture, Graduate School of Science and Engineering, Saga University, Saga 840-8502, Japan)

Abstract

Along with the rapid urbanization and economic growth of China over the past decades, the thermal comfort needs of the people in this region have risen dramatically, and at the same time, promoting building energy efficiency is cited as part of the major projects in the 14th five-year plan for energy efficiency improvement. In addition, the outbreak of the COVID-19 epidemic has plunged people into long-term panic, and promoted the entire construction industry to think about a healthier and more sustainable living environment. To respond to the imbalance between energy supply and demand, an optimization analysis based on energy use is developed, assessing the energy efficiency of the window-to-wall ratio (WWR) design and calculating the energy consumption of three different types of residential buildings for both cooling and heating loads as well as for year-round loads. Owing to its harsh climate and huge energy consumption, in this study, the Hot-summer and Cold-winter (HSCW) zone of China was chosen as the experimental setting for the optimization analysis of WWR. Then, in the three main types of residential buildings, including detached houses, multi-story dwellings and high-rise dwellings, a correlation between WWR S and energy consumption in the cooling season, heating season and year-round was built. The comparisons between the WWR S and energy consumption for different types of residential buildings are presented. The design optimization recommendation for WWR S are proposed. It has significant positive meanings for the development of green and sustainably designed residential buildings that offer high levels of thermal comfort and energy efficiency.

Suggested Citation

  • Haiqiang Liu & Zhihao Zhang & Xidong Ma & Weite Lu & Dongze Li & Shoichi Kojima, 2021. "Optimization Analysis of the Residential Window-to-Wall Ratio Based on Numerical Calculation of Energy Consumption in the Hot-Summer and Cold-Winter Zone of China," Sustainability, MDPI, vol. 13(11), pages 1-24, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6138-:d:565207
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    References listed on IDEAS

    as
    1. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
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    6. Lee, J.W. & Jung, H.J. & Park, J.Y. & Lee, J.B. & Yoon, Y., 2013. "Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements," Renewable Energy, Elsevier, vol. 50(C), pages 522-531.
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    Cited by:

    1. Xiang Liu & Wanjiang Wang & Zixuan Wang & Junkang Song & Ke Li, 2023. "Simulation Study on Outdoor Wind Environment of Residential Complexes in Hot-Summer and Cold-Winter Climate Zones Based on Entropy-Based TOPSIS Method," Sustainability, MDPI, vol. 15(16), pages 1-28, August.
    2. Haiqiang Liu & Xidong Ma & Zhihao Zhang & Xiaoling Cheng & Yanmi Chen & Shoichi Kojima, 2021. "Study on the Relationship between Thermal Comfort and Learning Efficiency of Different Classroom-Types in Transitional Seasons in the Hot Summer and Cold Winter Zone of China," Energies, MDPI, vol. 14(19), pages 1-30, October.

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