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Robust Optimization of Demand Response Power Bids for Drinking Water Systems

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  • Mkireb, Chouaïb
  • Dembélé, Abel
  • Jouglet, Antoine
  • Denoeux, Thierry

Abstract

The development of smart grids represents a major breakthrough in the management of electric power and drinking water systems. On the one hand, smart grids have contributed to the development of energy efficiency and demand side management mechanisms such as Demand Response, making it possible to reduce peak load and adapt elastic demand to fluctuation generation. On the other hand, smart water networks and sophisticated Supervisory Control and Data Acquisition systems in the water industry have allowed one to optimize, control and monitor the water flow throughout its entire process. Being a highly energy intensive industry and having an electrical flexibility by the presence of storage elements such as tanks, drinking water systems have the ability to address energy efficiency mechanisms such as Demand Response. In this paper, the French demand response mechanism in spot power markets is presented. Then, a chance constrained problem is formulated to integrate water systems flexibility to power system operation, under water demand uncertainties. Numerical results are discussed based on a real water system in France, demonstrating the relevance of the approach in terms of financial benefits and risk management.

Suggested Citation

  • Mkireb, Chouaïb & Dembélé, Abel & Jouglet, Antoine & Denoeux, Thierry, 2019. "Robust Optimization of Demand Response Power Bids for Drinking Water Systems," Applied Energy, Elsevier, vol. 238(C), pages 1036-1047.
    • Handle: RePEc:eee:appene:v:238:y:2019:i:c:p:1036-1047
    DOI: 10.1016/j.apenergy.2019.01.124
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    1. Nikolaos Kolokas & Dimosthenis Ioannidis & Dimitrios Tzovaras, 2021. "Multi-Step Energy Demand and Generation Forecasting with Confidence Used for Specification-Free Aggregate Demand Optimization," Energies, MDPI, vol. 14(11), pages 1-36, May.
    2. Reis, Ana L. & Lopes, Marta A.R. & Andrade-Campos, A. & Henggeler Antunes, Carlos, 2023. "A review of operational control strategies in water supply systems for energy and cost efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    3. Amaral Lopes, Rui & Grønborg Junker, Rune & Martins, João & Murta-Pina, João & Reynders, Glenn & Madsen, Henrik, 2020. "Characterisation and use of energy flexibility in water pumping and storage systems," Applied Energy, Elsevier, vol. 277(C).
    4. Lynch, Muireann Á. & Nolan, Sheila & Devine, Mel T. & O’Malley, Mark, 2019. "The impacts of demand response participation in capacity markets," Applied Energy, Elsevier, vol. 250(C), pages 444-451.
    5. Soleimani, Borhan & Keihan Asl, Dariush & Estakhr, Javad & Seifi, Ali Reza, 2022. "Integrated optimization of multi-carrier energy systems: Water-energy nexus case," Energy, Elsevier, vol. 257(C).
    6. Majid, A. & van Zyl, J.E. & Hall, J.W., 2022. "The influence of temporal variability and reservoir management on demand-response in the water sector," Applied Energy, Elsevier, vol. 305(C).
    7. 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).
    8. Tostado-Véliz, Marcos & Kamel, Salah & Aymen, Flah & Rezaee Jordehi, Ahmad & Jurado, Francisco, 2022. "A Stochastic-IGDT model for energy management in isolated microgrids considering failures and demand response," Applied Energy, Elsevier, vol. 317(C).
    9. Pang, Yuexia & He, Yongxiu & Jiao, Jie & Cai, Hua, 2020. "Power load demand response potential of secondary sectors in China: The case of western Inner Mongolia," Energy, Elsevier, vol. 192(C).

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