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Energy efficiency assessment of wastewater treatment plants in China based on multiregional input–output analysis and data envelopment analysis

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  • Zhu, Wenjing
  • Duan, Cuncun
  • Chen, Bin

Abstract

Wastewater treatment plants (WWTPs) play a pivotal role in natural water recycling and safeguarding the water security of approximately 42% of the world's population, yet they confront challenges posed by escalating energy consumption and regional energy constraints. In this study, we developed an evaluation framework that integrated regional energy scarcity with the operation conditions of WWTPs to quantify their energy efficiencies by applying multiregional input–output (MRIO) analysis and data envelopment analysis (DEA). A case study using this framework was conducted on 3776 WWTPs in 30 provinces in China. The results showed that the average scarcity-based energy efficiency level of WWTPs in China was low, of which those in northern provinces were higher compared to southeastern provinces. Furthermore, only 24 WWTPs in China attained the highest efficiency levels, while the rest had different degrees of input redundancy, indicating an energy-saving potential of 9.05 × 109 kWh. This paper enables the development of optimal efficiency strategies for WWTPs in different provinces considering the potential energy scarcity risks caused by trading activities.

Suggested Citation

  • Zhu, Wenjing & Duan, Cuncun & Chen, Bin, 2024. "Energy efficiency assessment of wastewater treatment plants in China based on multiregional input–output analysis and data envelopment analysis," Applied Energy, Elsevier, vol. 356(C).
    • Handle: RePEc:eee:appene:v:356:y:2024:i:c:s0306261923018263
    DOI: 10.1016/j.apenergy.2023.122462
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    1. Paul Behrens & Michelle T. H. van Vliet & Tijmen Nanninga & Brid Walsh & João F. D. Rodrigues, 2017. "Climate change and the vulnerability of electricity generation to water stress in the European Union," Nature Energy, Nature, vol. 2(8), pages 1-7, August.
    2. Gu, Yifan & Li, Yue & Li, Xuyao & Luo, Pengzhou & Wang, Hongtao & Robinson, Zoe P. & Wang, Xin & Wu, Jiang & Li, Fengting, 2017. "The feasibility and challenges of energy self-sufficient wastewater treatment plants," Applied Energy, Elsevier, vol. 204(C), pages 1463-1475.
    3. Yang, Junwen & Chen, Bin, 2021. "Energy efficiency evaluation of wastewater treatment plants (WWTPs) based on data envelopment analysis," Applied Energy, Elsevier, vol. 289(C).
    4. Shen, Yanwen & Linville, Jessica L. & Urgun-Demirtas, Meltem & Mintz, Marianne M. & Snyder, Seth W., 2015. "An overview of biogas production and utilization at full-scale wastewater treatment plants (WWTPs) in the United States: Challenges and opportunities towards energy-neutral WWTPs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 346-362.
    5. Luo, Li & Dzakpasu, Mawuli & Yang, Baichuan & Zhang, Wushou & Yang, Yahong & Wang, Xiaochang C., 2019. "A novel index of total oxygen demand for the comprehensive evaluation of energy consumption for urban wastewater treatment," Applied Energy, Elsevier, vol. 236(C), pages 253-261.
    6. Kharrazi, Ali & Sato, Masahiro & Yarime, Masaru & Nakayama, Hirofumi & Yu, Yadong & Kraines, Steven, 2015. "Examining the resilience of national energy systems: Measurements of diversity in production-based and consumption-based electricity in the globalization of trade networks," Energy Policy, Elsevier, vol. 87(C), pages 455-464.
    7. Huang, Runyao & Shen, Ziheng & Wang, Hongtao & Xu, Jin & Ai, Zisheng & Zheng, Hongyuan & Liu, Runxi, 2021. "Evaluating the energy efficiency of wastewater treatment plants in the Yangtze River Delta: Perspectives on regional discrepancies," Applied Energy, Elsevier, vol. 297(C).
    8. Longo, Stefano & d’Antoni, Benedetto Mirko & Bongards, Michael & Chaparro, Antonio & Cronrath, Andreas & Fatone, Francesco & Lema, Juan M. & Mauricio-Iglesias, Miguel & Soares, Ana & Hospido, Almudena, 2016. "Monitoring and diagnosis of energy consumption in wastewater treatment plants. A state of the art and proposals for improvement," Applied Energy, Elsevier, vol. 179(C), pages 1251-1268.
    9. 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.
    10. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    11. Shepard, Jun U. & Pratson, Lincoln F., 2020. "Hybrid input-output analysis of embodied energy security," Applied Energy, Elsevier, vol. 279(C).
    12. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    13. Lu Lu & Jeremy S. Guest & Catherine A. Peters & Xiuping Zhu & Greg H. Rau & Zhiyong Jason Ren, 2018. "Wastewater treatment for carbon capture and utilization," Nature Sustainability, Nature, vol. 1(12), pages 750-758, December.
    14. Meng, Ming & Qu, Danlei, 2022. "Understanding the green energy efficiencies of provinces in China: A Super-SBM and GML analysis," Energy, Elsevier, vol. 239(PA).
    15. Zhang, Kai & Zhang, Yiyi & Xi, Shan & Liu, Jiefeng & Li, Jiashuo & Hou, Shengren & Chen, Bin, 2022. "Multi-objective optimization of energy-water nexus from spatial resource reallocation perspective in China," Applied Energy, Elsevier, vol. 314(C).
    16. Liu, Yating & Chen, Bin, 2020. "Water-energy scarcity nexus risk in the national trade system based on multiregional input-output and network environ analyses," Applied Energy, Elsevier, vol. 268(C).
    17. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    18. Sueyoshi, Toshiyuki & Yuan, Yan, 2017. "Social sustainability measured by intermediate approach for DEA environmental assessment: Chinese regional planning for economic development and pollution prevention," Energy Economics, Elsevier, vol. 66(C), pages 154-166.
    19. Wiedmann, Thomas & Lenzen, Manfred & Turner, Karen & Barrett, John, 2007. "Examining the global environmental impact of regional consumption activities -- Part 2: Review of input-output models for the assessment of environmental impacts embodied in trade," Ecological Economics, Elsevier, vol. 61(1), pages 15-26, February.
    20. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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