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Retrofit Analysis of City-Scale Residential Buildings in the Hot Summer and Cold Winter Climate Zone

Author

Listed:
  • Yanfei Ji

    (College of Civil Engineering, Hunan University, Changsha 410082, China)

  • Guangchen Li

    (College of Civil Engineering, Hunan University, Changsha 410082, China)

  • Fanghan Su

    (College of Civil Engineering, Hunan University, Changsha 410082, China)

  • Yixing Chen

    (College of Civil Engineering, Hunan University, Changsha 410082, China
    Key Laboratory of Building Safety and Energy Efficiency of Ministry of Education, Hunan University, Changsha 410082, China)

  • Rongpeng Zhang

    (Key Laboratory of Building Safety and Energy Efficiency of Ministry of Education, Hunan University, Changsha 410082, China
    School of Architecture and Planning, Hunan University, Changsha 410082, China)

Abstract

The rising energy consumption in residential buildings within the hot summer and cold winter (HSCW) climate zone, driven by occupants’ pursuit of improved thermal comfort, necessitates effective energy conservation measures. This study established urban building energy models for 32,145 residential buildings in Changsha City, China, and conducted a comprehensive retrofit analysis of seven energy conservation measures (ECMs). Additionally, the study assessed the impact of residents’ conscious energy-saving behaviors concerning air conditioner (AC) control. The research commenced by creating six baseline models representative of the diverse building stock. Identifying seven commonly used ECMs, the study examined the potential of each measure for enhancing energy efficiency. To facilitate the analysis, a dedicated toolkit, AutoBPS-Retrofit, was developed to efficiently modify the baseline model for each ECM. Furthermore, the investigation delved into the investment cost of implementing the ECMs and evaluated their simple payback year (PBP) and net present value (NPV). The results demonstrate that tailored retrofit plans are essential when addressing envelope improvements, varying according to building types and ages. Retrofits targeting lighting systems offer both promising energy savings and favorable economic viability, albeit subject to residents’ preferences. Alternatively, upgrading the AC systems emerges as the most energy-efficient approach, yet the economic assessment raises concerns. The study’s findings offer practical insights for governments seeking to establish effective carbon reduction goals and policies. Moreover, the research can assist energy-saving institutions, real-estate companies, and stakeholders involved in renovation projects by offering guidance in making informed decisions to enhance energy efficiency in city-scale residential buildings.

Suggested Citation

  • Yanfei Ji & Guangchen Li & Fanghan Su & Yixing Chen & Rongpeng Zhang, 2023. "Retrofit Analysis of City-Scale Residential Buildings in the Hot Summer and Cold Winter Climate Zone," Energies, MDPI, vol. 16(17), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6152-:d:1223963
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    References listed on IDEAS

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    1. Yanxia Li & Chao Wang & Sijie Zhu & Junyan Yang & Shen Wei & Xinkai Zhang & Xing Shi, 2020. "A Comparison of Various Bottom-Up Urban Energy Simulation Methods Using a Case Study in Hangzhou, China," Energies, MDPI, vol. 13(18), pages 1-23, September.
    2. Hu, Jianhui & Kawaguchi, Ken'ichi & Ma, Junbin & Nakaso, Yosuke, 2023. "Improving indoor thermal and energy performance of large-space residential buildings via active approaches," Applied Energy, Elsevier, vol. 344(C).
    3. Menezes, Anna Carolina & Cripps, Andrew & Bouchlaghem, Dino & Buswell, Richard, 2012. "Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap," Applied Energy, Elsevier, vol. 97(C), pages 355-364.
    4. Huang, He & Wang, Honglei & Hu, Yu-Jie & Li, Chengjiang & Wang, Xiaolin, 2022. "Optimal plan for energy conservation and CO2 emissions reduction of public buildings considering users' behavior: Case of China," Energy, Elsevier, vol. 261(PA).
    5. Li, Qing & Zhang, Lianying & Zhang, Limao & Wu, Xianguo, 2021. "Optimizing energy efficiency and thermal comfort in building green retrofit," Energy, Elsevier, vol. 237(C).
    6. Lina La Fleur & Patrik Rohdin & Bahram Moshfegh, 2019. "Energy Renovation versus Demolition and Construction of a New Building—A Comparative Analysis of a Swedish Multi-Family Building," Energies, MDPI, vol. 12(11), pages 1-27, June.
    7. 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.
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    1. Wenxian Zhao & Zhang Deng & Yanfei Ji & Chengcheng Song & Yue Yuan & Zhiyuan Wang & Yixing Chen, 2024. "Analysis of Peak Demand Reduction and Energy Saving in a Mixed-Use Community through Urban Building Energy Modeling," Energies, MDPI, vol. 17(5), pages 1-24, March.

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