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Morphology Optimization of Residential Communities towards Maximizing Energy Self-Sufficiency in the Hot Summer Cold Winter Climate Zone of China

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  • Yuan Zhou

    (School of Architecture and Planning, Hunan University, Changsha 410082, China
    Hunan Key Laboratory of Sciences of Urban and Rural Human Settlements in Hilly Areas, Hunan University, Changsha 410082, China
    Hunan International Innovation Cooperation Base on Science and Technology of Local Architecture, Changsha 410082, China)

  • Hongcheng Liu

    (School of Architecture and Planning, Hunan University, Changsha 410082, China
    Hunan Key Laboratory of Sciences of Urban and Rural Human Settlements in Hilly Areas, Hunan University, Changsha 410082, China
    Hunan International Innovation Cooperation Base on Science and Technology of Local Architecture, Changsha 410082, China)

  • Xing Xiong

    (School of Architecture and Planning, Hunan University, Changsha 410082, China
    Hunan Key Laboratory of Sciences of Urban and Rural Human Settlements in Hilly Areas, Hunan University, Changsha 410082, China
    Hunan International Innovation Cooperation Base on Science and Technology of Local Architecture, Changsha 410082, China)

  • Xiaojun Li

    (School of Architecture and Planning, Hunan University, Changsha 410082, China
    Hunan Key Laboratory of Sciences of Urban and Rural Human Settlements in Hilly Areas, Hunan University, Changsha 410082, China
    Hunan International Innovation Cooperation Base on Science and Technology of Local Architecture, Changsha 410082, China)

Abstract

Further research is needed on the capability of residential communities to achieve energy self-sufficiency under the constraints of current standards of land use, in particular for the Hot Summer and Cold Winter climate zone (HSCW) of China, where the majority of communities are dominated by high floor-area ratios, thus high-rise dwellings, namely less solar potential per unit floor area, while most residents adopt a “part-time, part-space” pattern of intermittent energy use behavior, thus using relatively low energy per unit floor area. This study examines 150 communities in Changsha to identify morphological indicators and develop a prototype model utilizing the Grasshopper platform. Community morphology is simulated and optimized by taking building location, orientation, and number of floors as independent variables and building energy consumption, solar PV generation, and energy self-sufficiency rate as dependent variables. The results reveal that the morphology optimization can achieve a 4.26% decrease in building energy consumption, a 45% increase in PV generation, and a 13.2% enhancement in energy self-sufficiency, with the optimal being 39%. It highlights that energy self-sufficiency cannot be achieved solely through morphology improvements. Moreover, the study underscores the crucial role of community orientation in maximizing energy self-sufficiency, with the south–north orientation identified as the most beneficial. Additionally, a layout characterized by a horizontally closed and staggered pattern and a vertically scattered arrangement emerges as favorable for enhancing energy self-sufficiency. These findings underscore the importance of considering morphological factors, particularly community orientation, in striving towards energy-self-sufficient high-rise residential communities within the HSCW climate zone of China.

Suggested Citation

  • Yuan Zhou & Hongcheng Liu & Xing Xiong & Xiaojun Li, 2024. "Morphology Optimization of Residential Communities towards Maximizing Energy Self-Sufficiency in the Hot Summer Cold Winter Climate Zone of China," Land, MDPI, vol. 13(3), pages 1-24, March.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:337-:d:1352305
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    References listed on IDEAS

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    1. Zhang, Ji & Xu, Le & Shabunko, Veronika & Tay, Stephen En Rong & Sun, Huixuan & Lau, Stephen Siu Yu & Reindl, Thomas, 2019. "Impact of urban block typology on building solar potential and energy use efficiency in tropical high-density city," Applied Energy, Elsevier, vol. 240(C), pages 513-533.
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