IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v297y2021ics0306261921005389.html
   My bibliography  Save this article

Evaluating the energy efficiency of wastewater treatment plants in the Yangtze River Delta: Perspectives on regional discrepancies

Author

Listed:
  • Huang, Runyao
  • Shen, Ziheng
  • Wang, Hongtao
  • Xu, Jin
  • Ai, Zisheng
  • Zheng, Hongyuan
  • Liu, Runxi

Abstract

With priorities to reach a carbon emission peak and integrated development involving ecological demonstration, a systematic evaluation on the energy efficiency and internal discrepancies of wastewater treatment plants in the Yangtze River Delta region is needed. In this study, a slacks-based measure data envelopment analysis model was applied to quantify the relative energy efficiency of 270 regional wastewater treatment plants. Based on the score of relative energy efficiency, the internal discrepancies of the region were identified through a method combining spatial and sensitivity analysis. Although the wastewater treatment plants had met the pollutant limits of discharge standards, the result of data envelopment analysis showed that 253 wastewater treatment plants were inefficient (with efficiency scores less than 1) due to input excess or output shortfall, indicating substantial potential for improving the energy efficiency. Besides, binary logistic regression demonstrated the significant impact from explanatory factors including designed capacity (104 m3/d), loading rate (%), influent ratio of chemical oxygen demand to total nitrogen, and influent concentration (mg/L) of chemical oxygen demand. Moreover, with regards to regional discrepancies, proportion of efficient wastewater treatment plants for Shanghai, Jiangsu, Zhejiang, and Anhui differs significantly. The area surrounding Taihu Lake was recognized as the trough of the Yangtze River Delta region in terms of the relative energy efficiency of wastewater treatment plants. This paper would give a reference for optimization of wastewater treatment plants in the study area and the evaluation framework on internal discrepancies might also be useful for other regions worldwide.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:297:y:2021:i:c:s0306261921005389
    DOI: 10.1016/j.apenergy.2021.117087
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921005389
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.117087?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Hongtao & Yang, Yi & Keller, Arturo A. & Li, Xiang & Feng, Shijin & Dong, Ya-nan & Li, Fengting, 2016. "Comparative analysis of energy intensity and carbon emissions in wastewater treatment in USA, Germany, China and South Africa," Applied Energy, Elsevier, vol. 184(C), pages 873-881.
    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. Lee, Mengshan & Keller, Arturo A. & Chiang, Pen-Chi & Den, Walter & Wang, Hongtao & Hou, Chia-Hung & Wu, Jiang & Wang, Xin & Yan, Jinyue, 2017. "Water-energy nexus for urban water systems: A comparative review on energy intensity and environmental impacts in relation to global water risks," Applied Energy, Elsevier, vol. 205(C), pages 589-601.
    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. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    7. 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.
    8. Yanyan Gao & Shunfeng Song & Jun Sun & Leizhen Zang, 2020. "Does high‐speed rail connection really promote local economy? Evidence from China’s Yangtze River Delta," Review of Development Economics, Wiley Blackwell, vol. 24(1), pages 316-338, February.
    9. Hatami-Marbini, Adel & Emrouznejad, Ali & Tavana, Madjid, 2011. "A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making," European Journal of Operational Research, Elsevier, vol. 214(3), pages 457-472, November.
    10. 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.
    11. Wakeel, Muhammad & Chen, Bin & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2016. "Energy consumption for water use cycles in different countries: A review," Applied Energy, Elsevier, vol. 178(C), pages 868-885.
    12. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    13. Zhang, Qiang & Chen, Wenying, 2020. "Modeling China’s interprovincial electricity transmission under low carbon transition," Applied Energy, Elsevier, vol. 279(C).
    14. Li, Lili & Taeihagh, Araz, 2020. "An in-depth analysis of the evolution of the policy mix for the sustainable energy transition in China from 1981 to 2020," Applied Energy, Elsevier, vol. 263(C).
    15. Panepinto, Deborah & Fiore, Silvia & Zappone, Mariantonia & Genon, Giuseppe & Meucci, Lorenza, 2016. "Evaluation of the energy efficiency of a large wastewater treatment plant in Italy," Applied Energy, Elsevier, vol. 161(C), pages 404-411.
    16. Longo, S. & Mauricio-Iglesias, M. & Soares, A. & Campo, P. & Fatone, F. & Eusebi, A.L. & Akkersdijk, E. & Stefani, L. & Hospido, A., 2019. "ENERWATER – A standard method for assessing and improving the energy efficiency of wastewater treatment plants," Applied Energy, Elsevier, vol. 242(C), pages 897-910.
    17. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.
    18. 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.
    19. Velasquez-Orta, Sharon B. & Heidrich, Oliver & Black, Ken & Graham, David, 2018. "Retrofitting options for wastewater networks to achieve climate change reduction targets," Applied Energy, Elsevier, vol. 218(C), pages 430-441.
    20. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yin, Sihua & Yang, Haidong & Xu, Kangkang & Zhu, Chengjiu & Zhang, Shaqing & Liu, Guosheng, 2022. "Dynamic real–time abnormal energy consumption detection and energy efficiency optimization analysis considering uncertainty," Applied Energy, Elsevier, vol. 307(C).
    2. 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).
    3. Xu, Jiuping & Zhao, Chuandang & Wang, Fengjuan & Yang, Guocan, 2022. "Industrial decarbonisation oriented distributed renewable generation towards wastewater treatment sector: Case from the Yangtze River Delta region in China," Energy, Elsevier, vol. 256(C).
    4. Al-Dahidi, Sameer & Alrbai, Mohammad & Al-Ghussain, Loiy & Alahmer, Ali, 2024. "Maximizing energy efficiency in wastewater treatment plants: A data-driven approach for waste heat recovery and an economic analysis using Organic Rankine Cycle and thermal energy storage," Applied Energy, Elsevier, vol. 362(C).
    5. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Runxi & Huang, Runyao & Shen, Ziheng & Wang, Hongtao & Xu, Jin, 2021. "Optimizing the recovery pathway of a net-zero energy wastewater treatment model by balancing energy recovery and eco-efficiency," Applied Energy, Elsevier, vol. 298(C).
    2. 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).
    3. Rosa M. Llácer-Iglesias & P. Amparo López-Jiménez & Modesto Pérez-Sánchez, 2021. "Energy Self-Sufficiency Aiming for Sustainable Wastewater Systems: Are All Options Being Explored?," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    4. Michela Gallo & Desara Malluta & Adriana Del Borghi & Erica Gagliano, 2024. "A Critical Review on Methodologies for the Energy Benchmarking of Wastewater Treatment Plants," Sustainability, MDPI, vol. 16(5), pages 1-18, February.
    5. Longo, S. & Mauricio-Iglesias, M. & Soares, A. & Campo, P. & Fatone, F. & Eusebi, A.L. & Akkersdijk, E. & Stefani, L. & Hospido, A., 2019. "ENERWATER – A standard method for assessing and improving the energy efficiency of wastewater treatment plants," Applied Energy, Elsevier, vol. 242(C), pages 897-910.
    6. Macintosh, C. & Astals, S. & Sembera, C. & Ertl, A. & Drewes, J.E. & Jensen, P.D. & Koch, K., 2019. "Successful strategies for increasing energy self-sufficiency at Grüneck wastewater treatment plant in Germany by food waste co-digestion and improved aeration," Applied Energy, Elsevier, vol. 242(C), pages 797-808.
    7. Velasquez-Orta, Sharon B. & Heidrich, Oliver & Black, Ken & Graham, David, 2018. "Retrofitting options for wastewater networks to achieve climate change reduction targets," Applied Energy, Elsevier, vol. 218(C), pages 430-441.
    8. Odabaş Baş, Gözde & Aydınalp Köksal, Merih, 2022. "Environmental and techno-economic analysis of the integration of biogas and solar power systems into urban wastewater treatment plants," Renewable Energy, Elsevier, vol. 196(C), pages 579-597.
    9. César Salazar & Roberto Cárdenas-Retamal & Marcela Jaime, 2023. "Environmental efficiency in the salmon industry—an exploratory analysis around the 2007 ISA virus outbreak and subsequent regulations in Chile," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8107-8135, August.
    10. Adam Masłoń & Joanna Czarnota & Paulina Szczyrba & Aleksandra Szaja & Joanna Szulżyk-Cieplak & Grzegorz Łagód, 2024. "Assessment of Energy Self-Sufficiency of Wastewater Treatment Plants—A Case Study from Poland," Energies, MDPI, vol. 17(5), pages 1-19, March.
    11. Loske, Dominic & Klumpp, Matthias, 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics," International Journal of Production Economics, Elsevier, vol. 241(C).
    12. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    13. Yan, Peng & Shi, Hong-Xin & Chen, You-Peng & Gao, Xu & Fang, Fang & Guo, Jin-Song, 2020. "Optimization of recovery and utilization pathway of chemical energy from wastewater pollutants by a net-zero energy wastewater treatment model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    14. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis," Energy Policy, Elsevier, vol. 134(C).
    15. Mehdi Sharif Shourjeh & Przemysław Kowal & Jakub Drewnowski & Bartosz Szeląg & Aleksandra Szaja & Grzegorz Łagód, 2020. "Mutual Interaction between Temperature and DO Set Point on AOB and NOB Activity during Shortcut Nitrification in a Sequencing Batch Reactor in Terms of Energy Consumption Optimization," Energies, MDPI, vol. 13(21), pages 1-21, November.
    16. Molinos-Senante, María & Sala-Garrido, Ramón, 2018. "Evaluation of energy performance of drinking water treatment plants: Use of energy intensity and energy efficiency metrics," Applied Energy, Elsevier, vol. 229(C), pages 1095-1102.
    17. Radini, Serena & Marinelli, Enrico & Akyol, Çağrı & Eusebi, Anna Laura & Vasilaki, Vasileia & Mancini, Adriano & Frontoni, Emanuele & Bischetti, Gian Battista & Gandolfi, Claudio & Katsou, Evina & Fat, 2021. "Urban water-energy-food-climate nexus in integrated wastewater and reuse systems: Cyber-physical framework and innovations," Applied Energy, Elsevier, vol. 298(C).
    18. Omrani, Hashem & Yang, Zijiang & Karbasian, Arash & Teplova, Tamara, 2023. "Combination of top-down and bottom-up DEA models using PCA: A two-stage network DEA with shared input and undesirable output for evaluation of the road transport sector," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    19. Carla Henriques & Clara Viseu & António Trigo & Maria Gouveia & Ana Amaro, 2022. "How Efficient Is the Cohesion Policy in Supporting Small and Mid-Sized Enterprises in the Transition to a Low-Carbon Economy?," Sustainability, MDPI, vol. 14(9), pages 1-55, April.
    20. Arabmaldar, Aliasghar & Sahoo, Biresh K. & Ghiyasi, Mojtaba, 2023. "A generalized robust data envelopment analysis model based on directional distance function," European Journal of Operational Research, Elsevier, vol. 311(2), pages 617-632.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:297:y:2021:i:c:s0306261921005389. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.