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Transient and Persistent Energy Efficiency in the Wastewater Sector based on Economic Foundations

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  • Stefano Longo, Mona Chitnis, Miguel Mauricio-Iglesias, Almudena Hospido

Abstract

Given the increasing importance of the wastewater sector in terms of energy usage, the understanding of the level of energy efficiency of wastewater treatment plants (WWTPs) is useful to both the industry itself as well as policy makers. Here, based on economic foundations, we apply a Stochastic Frontier Analysis (SFA) approach for energy demand modelling to estimate energy efficiency in the wastewater sector. Using specific SFA models and panel data from 183 Swiss WWTPs over the period 2001 to 2015, the paper illustrates that distinguishing between persistent and transient inefficiency is essential to deduce appropriate energy efficiency diagnosis in WWTPs. In this respect, persistent energy inefficiency is found to be more severe than transient energy inefficiency. Furthermore, it is shown that the age of the equipment influences the demand for energy and the energy savings due to technological innovation are quantified. Finally, economies of output density and scale are estimated demonstrating that for plants operating below optimal scale significant energy savings can be achieved if plants would be operated at higher size. Moreover, our analysis reveals also that for plants larger than 100,000 Population Equivalent, at least from an energy efficiency point of view, it would be no more beneficial to increase their scale.

Suggested Citation

  • 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, International Association for Energy Economics, vol. 0(Number 6), pages 233-254.
  • Handle: RePEc:aen:journl:ej41-6-longo
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    Cited by:

    1. Maria Rosa di Cicco & Antonio Masiello & Antonio Spagnuolo & Carmela Vetromile & Laura Borea & Giuseppe Giannella & Manuela Iovinella & Carmine Lubritto, 2021. "Real-Time Monitoring and Static Data Analysis to Assess Energetic and Environmental Performances in the Wastewater Sector: A Case Study," Energies, MDPI, vol. 14(21), pages 1-16, October.
    2. 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).
    3. Joana Cassidy & Tatiana Silva & Nuno Semião & Pedro Ramalho & Ana Rita Santos & João Faria Feliciano & Catarina Silva & Maria João Rosa, 2023. "Integrating Reliability and Energy Efficiency Assessments for Pinpointing Actionable Strategies for Enhanced Performance of Urban Wastewater Treatment Plants," Sustainability, MDPI, vol. 15(17), pages 1-13, August.
    4. Maziotis, Alexandros & Molinos-Senante, Maria, 2022. "The impact of model specification and environmental variables on measuring the overall technical efficiency of water and sewerage services: Evidence from Chile," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 191-198.

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    JEL classification:

    • F0 - International Economics - - General

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