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What kinds of building energy-saving retrofit projects should be preferred? Efficiency evaluation with three-stage data envelopment analysis (DEA)

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  • Wang, Zhaohua
  • Liu, Qiang
  • Zhang, Bin

Abstract

Building energy-saving retrofit projects (BERPs) have been widely implemented due to pressure to reduce emissions to meet carbon neutrality targets. However, it is still not clear which kind of BERP is most efficient during implementation. This paper proposed a three-stage DEA model for evaluating the efficiency of BERPs. Our research found that ineffective scale was the main reason for the low efficiency of BERPs. Buildings could obtain better energy-saving effects by appropriately expanding the scale of the BERPs. Geographic areas with developed construction industries had larger BERPs with better energy-saving effects. From the perspective of building types, BERPs on shopping malls had the best energy saving efficiency, followed by those on multifunctional buildings and hotel buildings. From the perspective of the retrofit objects, BERPs on heating, ventilation and air conditioning (HVAC) systems had the greatest efficiency, followed by BERPs on building envelopes. This study could suggest preferred strategies for the future development of BERPs.

Suggested Citation

  • Wang, Zhaohua & Liu, Qiang & Zhang, Bin, 2022. "What kinds of building energy-saving retrofit projects should be preferred? Efficiency evaluation with three-stage data envelopment analysis (DEA)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    • Handle: RePEc:eee:rensus:v:161:y:2022:i:c:s1364032122003021
    DOI: 10.1016/j.rser.2022.112392
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    1. Abdurahman Alrobaie & Moncef Krarti, 2022. "A Review of Data-Driven Approaches for Measurement and Verification Analysis of Building Energy Retrofits," Energies, MDPI, vol. 15(21), pages 1-30, October.
    2. Chen, Fanglin & Zhang, Tianzi & Chen, Zhongfei, 2024. "Assessment of environmental concern for enterprise pollution reduction," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 772-786.
    3. Zhang, Bin & Liu, Zuyao & Wang, Zhaohua & Zhang, Shuang, 2023. "The impact of geopolitical risk on energy security: Evidence from a GMM panel VAR approach," Resources Policy, Elsevier, vol. 86(PB).
    4. Chen, Hongyu & Shen, Geoffrey Qiping & Feng, Zongbao & Liu, Yang, 2024. "Optimization of energy-saving retrofit solutions for existing buildings: A multidimensional data fusion approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 201(C).
    5. Zhang, Hui & Zhou, Peng & Sun, Xiumei & Ni, Guanqun, 2024. "Disparities in energy efficiency and its determinants in Chinese cities: From the perspective of heterogeneity," Energy, Elsevier, vol. 289(C).
    6. Zhao, Dengfeng & Lin, Jingting & Bashir, Muhammad Adnan, 2024. "Analyze the effect of energy efficiency, natural resources, and the digital economy on ecological footprint in OCED countries: The mediating role of renewable energy," Resources Policy, Elsevier, vol. 95(C).

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