IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v242y2019icp897-910.html
   My bibliography  Save this article

ENERWATER – A standard method for assessing and improving the energy efficiency of wastewater treatment plants

Author

Listed:
  • Longo, S.
  • Mauricio-Iglesias, M.
  • Soares, A.
  • Campo, P.
  • Fatone, F.
  • Eusebi, A.L.
  • Akkersdijk, E.
  • Stefani, L.
  • Hospido, A.

Abstract

This paper describes the first methodology specifically tailored to estimate energy efficiency at wastewater treatment plants (WWTPs). Inspired by the cycle of continuous improvement, the method (i) precisely defines the concept of energy efficiency in WWTPs, (ii) proposes systematic and comparable ways to measure it, and (iii) allows benchmarking and diagnosing energy hotspots. The methodology delivers an aggregated measure of the WWTP energy efficiency defined as the Water Treatment Energy Index, a single energy label that uses universally known illustrations enabling wide communication of standardized information on the WWTP energy status. The accuracy, reproducibility and generality of the methodology were validated by a widespread energy benchmarking method, and a case study is presented to show its capabilities. By promoting dialogue towards the creation of a specific European Standard, the actions accomplished by the H2020 Coordination Support Action ENERWATER should positively contribute to improving the exchange of information on energy saving actions and results between wastewater utilities and towards other stakeholders.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:242:y:2019:i:c:p:897-910
    DOI: 10.1016/j.apenergy.2019.03.130
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919305367
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.03.130?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. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, April.
    2. Plappally, A.K. & Lienhard V, J.H., 2012. "Energy requirements for water production, treatment, end use, reclamation, and disposal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4818-4848.
    3. Ahn, Jonghoon & Cho, Soolyeon & Chung, Dae Hun, 2016. "Development of a statistical analysis model to benchmark the energy use intensity of subway stations," Applied Energy, Elsevier, vol. 179(C), pages 488-496.
    4. 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.
    5. Fernández, David & Pozo, Carlos & Folgado, Rubén & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2018. "Productivity and energy efficiency assessment of existing industrial gases facilities via data envelopment analysis and the Malmquist index," Applied Energy, Elsevier, vol. 212(C), pages 1563-1577.
    6. Massimo Filippini & William Greene, 2016. "Persistent and transient productive inefficiency: a maximum simulated likelihood approach," Journal of Productivity Analysis, Springer, vol. 45(2), pages 187-196, April.
    7. Zhang, Guanglu & Lin, Boqiang, 2018. "Impact of structure on unified efficiency for Chinese service sector—A two-stage analysis," Applied Energy, Elsevier, vol. 231(C), pages 876-886.
    8. 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.
    9. 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.
    10. Michela Nardo & Michaela Saisana & Andrea Saltelli & Stefano Tarantola & Anders Hoffman & Enrico Giovannini, 2005. "Handbook on Constructing Composite Indicators: Methodology and User Guide," OECD Statistics Working Papers 2005/3, OECD Publishing.
    11. 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.
    12. 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.
    13. Eoin Ó Broin & Jonas Nässén & Filip Johnsson, 2015. "Energy efficiency policies for space heating in EU countries: A panel data analysis for the period 1990–2010," Post-Print hal-01205485, HAL.
    14. Geng, ZhiQiang & Dong, JunGen & Han, YongMing & Zhu, QunXiong, 2017. "Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes," Applied Energy, Elsevier, vol. 205(C), pages 465-476.
    15. Laurens Cherchye & Willem Moesen & Nicky Rogge & Tom Puyenbroeck, 2007. "An Introduction to ‘Benefit of the Doubt’ Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(1), pages 111-145, May.
    16. Liao, Nuo & He, Yong, 2018. "Exploring the effects of influencing factors on energy efficiency in industrial sector using cluster analysis and panel regression model," Energy, Elsevier, vol. 158(C), pages 782-795.
    17. Chung, William, 2011. "Review of building energy-use performance benchmarking methodologies," Applied Energy, Elsevier, vol. 88(5), pages 1470-1479, May.
    18. May, Gökan & Barletta, Ilaria & Stahl, Bojan & Taisch, Marco, 2015. "Energy management in production: A novel method to develop key performance indicators for improving energy efficiency," Applied Energy, Elsevier, vol. 149(C), pages 46-61.
    19. 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.
    20. 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.
    21. Salvatori, Simone & Benedetti, Miriam & Bonfà, Francesca & Introna, Vito & Ubertini, Stefano, 2018. "Inter-sectorial benchmarking of compressed air generation energy performance: Methodology based on real data gathering in large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 217(C), pages 266-280.
    22. Chitnis, Mona & Sorrell, Steve, 2015. "Living up to expectations: Estimating direct and indirect rebound effects for UK households," Energy Economics, Elsevier, vol. 52(S1), pages 100-116.
    23. Ó Broin, Eoin & Nässén, Jonas & Johnsson, Filip, 2015. "Energy efficiency policies for space heating in EU countries: A panel data analysis for the period 1990–2010," Applied Energy, Elsevier, vol. 150(C), pages 211-223.
    24. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    25. Guerrini, Andrea & Romano, Giulia & Mancuso, Fabrizio & Carosi, Laura, 2016. "Identifying the performance drivers of wastewater treatment plants through conditional order-m efficiency analysis," Utilities Policy, Elsevier, vol. 42(C), pages 20-31.
    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. Bárbara de Matos & Rodrigo Salles & Jérôme Mendes & Joana R. Gouveia & António J. Baptista & Pedro Moura, 2022. "A Review of Energy and Sustainability KPI-Based Monitoring and Control Methodologies on WWTPs," Mathematics, MDPI, vol. 11(1), pages 1-22, December.
    2. Enrico Marinelli & Serena Radini & Çağrı Akyol & Massimiliano Sgroi & Anna Laura Eusebi & Gian Battista Bischetti & Adriano Mancini & Francesco Fatone, 2021. "Water-Energy-Food-Climate Nexus in an Integrated Peri-Urban Wastewater Treatment and Reuse System: From Theory to Practice," Sustainability, MDPI, vol. 13(19), pages 1-13, October.
    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. 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).
    5. Zhiqiang Yin & Lin Shi & Junru Luo & Shoukun Xu & Yang Yuan & Xinxin Tan & Jiaqun Zhu, 2023. "Pump Feature Construction and Electrical Energy Consumption Prediction Based on Feature Engineering and LightGBM Algorithm," Sustainability, MDPI, vol. 15(1), pages 1-17, January.
    6. 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).
    7. Stefano Longo & Mona Chitnis & Miguel Mauricio-Iglesias & Almudena Hospido, 2020. "Transient and Persistent Energy Efficiency in the Wastewater Sector based on Economic Foundations," The Energy Journal, , vol. 41(6), pages 233-254, November.
    8. 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.

    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. 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.
    2. 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).
    3. Salvatori, Simone & Benedetti, Miriam & Bonfà, Francesca & Introna, Vito & Ubertini, Stefano, 2018. "Inter-sectorial benchmarking of compressed air generation energy performance: Methodology based on real data gathering in large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 217(C), pages 266-280.
    4. 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.
    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. 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.
    7. 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.
    8. 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.
    9. Benedetti, Miriam & Bonfa', Francesca & Bertini, Ilaria & Introna, Vito & Ubertini, Stefano, 2018. "Explorative study on Compressed Air Systems’ energy efficiency in production and use: First steps towards the creation of a benchmarking system for large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 227(C), pages 436-448.
    10. Bey, M. & Hamidat, A. & Nacer, T., 2021. "Eco-energetic feasibility study of using grid-connected photovoltaic system in wastewater treatment plant," Energy, Elsevier, vol. 216(C).
    11. Smith, Kate & Liu, Shuming & Liu, Ying & Guo, Shengjie, 2018. "Can China reduce energy for water? A review of energy for urban water supply and wastewater treatment and suggestions for change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 41-58.
    12. 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.
    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. 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.
    15. Molinos-Senante, Maria & Maziotis, Alexandros, 2022. "Evaluation of energy efficiency of wastewater treatment plants: The influence of the technology and aging factors," Applied Energy, Elsevier, vol. 310(C).
    16. Micari, M. & Cipollina, A. & Tamburini, A. & Moser, M. & Bertsch, V. & Micale, G., 2019. "Combined membrane and thermal desalination processes for the treatment of ion exchange resins spent brine," Applied Energy, Elsevier, vol. 254(C).
    17. Yan, Guoxin & Kenway, Steven J. & Lam, Ka Leung & Lant, Paul A., 2024. "Water-energy trajectories for urban water and wastewater reveal the impact of city strategies," Applied Energy, Elsevier, vol. 366(C).
    18. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    19. 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.
    20. Nikolaos Tsalas & Spyridon K. Golfinopoulos & Stylianos Samios & Georgios Katsouras & Konstantinos Peroulis, 2024. "Optimization of Energy Consumption in a Wastewater Treatment Plant: An Overview," Energies, MDPI, vol. 17(12), pages 1-45, June.

    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:242:y:2019:i:c:p:897-910. 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.