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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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    as
    1. Seyfang, Gill, 2010. "Community action for sustainable housing: Building a low-carbon future," Energy Policy, Elsevier, vol. 38(12), pages 7624-7633, December.
    2. Wu, Jie & Li, Mingjun & Zhu, Qingyuan & Zhou, Zhixiang & Liang, Liang, 2019. "Energy and environmental efficiency measurement of China's industrial sectors: A DEA model with non-homogeneous inputs and outputs," Energy Economics, Elsevier, vol. 78(C), pages 468-480.
    3. Li, Wenliang & Zhou, Yuyu & Cetin, Kristen & Eom, Jiyong & Wang, Yu & Chen, Gang & Zhang, Xuesong, 2017. "Modeling urban building energy use: A review of modeling approaches and procedures," Energy, Elsevier, vol. 141(C), pages 2445-2457.
    4. Liang, Jing & Qiu, Yueming & James, Timothy & Ruddell, Benjamin L. & Dalrymple, Michael & Earl, Stevan & Castelazo, Alex, 2018. "Do energy retrofits work? Evidence from commercial and residential buildings in Phoenix," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 726-743.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Chung, William & Hui, Y.V. & Lam, Y. Miu, 2006. "Benchmarking the energy efficiency of commercial buildings," Applied Energy, Elsevier, vol. 83(1), pages 1-14, January.
    7. Zheng, Saina & Lam, Chor-Man & Hsu, Shu-Chien & Ren, Jingzheng, 2018. "Evaluating efficiency of energy conservation measures in energy service companies in China," Energy Policy, Elsevier, vol. 122(C), pages 580-591.
    8. Chau, C.K. & Leung, T.M. & Ng, W.Y., 2015. "A review on Life Cycle Assessment, Life Cycle Energy Assessment and Life Cycle Carbon Emissions Assessment on buildings," Applied Energy, Elsevier, vol. 143(C), pages 395-413.
    9. Vítor Leal, 2021. "Buildings Energy Efficiency and Innovative Energy Systems," Energies, MDPI, vol. 14(16), pages 1-5, August.
    10. Yuting Qi & Queena K. Qian & Frits M. Meijer & Henk J. Visscher, 2019. "Identification of Quality Failures in Building Energy Renovation Projects in Northern China," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
    11. Zuo, Jian & Pullen, Stephen & Rameezdeen, Raufdeen & Bennetts, Helen & Wang, Yuan & Mao, Guozhu & Zhou, Zhihua & Du, Huibin & Duan, Huabo, 2017. "Green building evaluation from a life-cycle perspective in Australia: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 358-368.
    12. Azad, Rohit & Chakraborty, Shouvik, 2020. "Green Growth and the Right to Energy in India," Energy Policy, Elsevier, vol. 141(C).
    13. Harold Fried & Shelton Schmidt & Suthathip Yaisawarng, 1999. "Incorporating the Operating Environment Into a Nonparametric Measure of Technical Efficiency," Journal of Productivity Analysis, Springer, vol. 12(3), pages 249-267, November.
    14. Friege, Jonas & Chappin, Emile, 2014. "Modelling decisions on energy-efficient renovations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 196-208.
    15. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    16. Jeeyoung Lim & Joseph J. Kim, 2020. "Dynamic Optimization Model for Estimating In-Situ Production Quantity of PC Members to Minimize Environmental Loads," Sustainability, MDPI, vol. 12(19), pages 1-20, October.
    17. Jie Liu & Chunhui Yuan & Xiaolong Li, 2019. "The Environmental Assessment on Chinese Logistics Enterprises Based on Non-Radial DEA," Energies, MDPI, vol. 12(24), pages 1-18, December.
    18. Yu, Wei & Li, Baizhan & Yang, Xincheng & Wang, Qingqin, 2015. "A development of a rating method and weighting system for green store buildings in China," Renewable Energy, Elsevier, vol. 73(C), pages 123-129.
    19. Li, Clyde Zhengdao & Lai, Xulu & Xiao, Bing & Tam, Vivian W.Y. & Guo, Shan & Zhao, Yiyu, 2020. "A holistic review on life cycle energy of buildings: An analysis from 2009 to 2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    20. Liane Thuvander & Paula Femenías & Kristina Mjörnell & Pär Meiling, 2012. "Unveiling the Process of Sustainable Renovation," Sustainability, MDPI, vol. 4(6), pages 1-26, June.
    21. Vivek Aggarwal & Chandan Swaroop Meena & Ashok Kumar & Tabish Alam & Anuj Kumar & Arijit Ghosh & Aritra Ghosh, 2020. "Potential and Future Prospects of Geothermal Energy in Space Conditioning of Buildings: India and Worldwide Review," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
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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.

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