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Demand-Response Application in Wastewater Treatment Plants Using Compressed Air Storage System: A Modelling Approach

Author

Listed:
  • Mattia Cottes

    (Department Polytechnic of Engineering and Architecture (DPIA), University of Udine, Via delle Scienze 208, 33100 Udine, Italy)

  • Matia Mainardis

    (Department Polytechnic of Engineering and Architecture (DPIA), University of Udine, Via delle Scienze 208, 33100 Udine, Italy)

  • Daniele Goi

    (Department Polytechnic of Engineering and Architecture (DPIA), University of Udine, Via delle Scienze 208, 33100 Udine, Italy)

  • Patrizia Simeoni

    (Department Polytechnic of Engineering and Architecture (DPIA), University of Udine, Via delle Scienze 208, 33100 Udine, Italy)

Abstract

Wastewater treatment plants (WWTPs) are known to be one of the most energy-intensive industrial sectors. In this work, demand response was applied to the biological phase of wastewater treatment to reduce plant electricity cost, considering that the daily peak in flowrate typically coincides with the maximum electricity price. Compressed air storage system, composed of a compressor and an air storage tank, was proposed to allow energy cost reduction. A multi-objective modelling approach was applied by analyzing different scenarios (with and without anaerobic digestion, AD), considering both plant characteristics (in terms of treated flowrate and influent chemical oxygen demand, COD, concentration) and storage system properties (volume, air pressure), together with the current Italian market economic conditions. The results highlight that air tank volume has a strong positive influence on the obtainable economic savings, with a less significant impact held by air pressure, COD concentration and flowrate. In addition, biogas exploitation from AD led to an improvement in economic indices. The developed model is highly flexible and can be applied to different WWTPs and market conditions.

Suggested Citation

  • Mattia Cottes & Matia Mainardis & Daniele Goi & Patrizia Simeoni, 2020. "Demand-Response Application in Wastewater Treatment Plants Using Compressed Air Storage System: A Modelling Approach," Energies, MDPI, vol. 13(18), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4780-:d:413098
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    References listed on IDEAS

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    Cited by:

    1. Roksana Yasmin & B. M. Ruhul Amin & Rakibuzzaman Shah & Andrew Barton, 2024. "A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy," Sustainability, MDPI, vol. 16(2), pages 1-41, January.
    2. Ihsan Hamawand, 2023. "Energy Consumption in Water/Wastewater Treatment Industry—Optimisation Potentials," Energies, MDPI, vol. 16(5), pages 1-3, March.
    3. Mattia Cottes & Matia Mainardis & Patrizia Simeoni, 2023. "Assessing the Techno-Economic Feasibility of Waste Electric and Electronic Equipment Treatment Plant: A Multi-Decisional Modeling Approach," Sustainability, MDPI, vol. 15(23), pages 1-16, November.
    4. Khah, Mohammad Vahabi & Zahedi, Rahim & Mousavi, Mohammad Sadegh & Ahmadi, Abolfazl, 2023. "Forecasting renewable energy utilization by Iran's water and wastewater industries," Utilities Policy, Elsevier, vol. 82(C).
    5. Wagner, Lukas Peter & Reinpold, Lasse Matthias & Kilthau, Maximilian & Fay, Alexander, 2023. "A systematic review of modeling approaches for flexible energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    6. Piotr Bugajski & Elwira Nowobilska-Majewska & Michał Majewski, 2021. "The Impact of Atmospheric Precipitation on Wastewater Volume Flowing into the Wastewater Treatment Plant in Nowy Targ (Poland) in Terms of Treatment Costs," Energies, MDPI, vol. 14(13), pages 1-12, June.
    7. Emiliano Borri & Alessio Tafone & Gabriele Comodi & Alessandro Romagnoli & Luisa F. Cabeza, 2022. "Compressed Air Energy Storage—An Overview of Research Trends and Gaps through a Bibliometric Analysis," Energies, MDPI, vol. 15(20), pages 1-21, October.
    8. Renata Rodrigues Lautert & Wagner da Silva Brignol & Luciane Neves Canha & Olatunji Matthew Adeyanju & Vinícius Jacques Garcia, 2022. "A Flexible-Reliable Operation Model of Storage and Distributed Generation in a Biogas Power Plant," Energies, MDPI, vol. 15(9), pages 1-21, April.

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