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Optimal Management of the Desalination System Demand in Non-Interconnected Islands

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  • Ioannis Karakitsios

    (School of Electrical & Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Aris Dimeas

    (School of Electrical & Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Nikos Hatziargyriou

    (School of Electrical & Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

Abstract

The high energy consumption of desalination systems represents a significant opportunity for the application of demand response schemes, particularly for the case of Non-Interconnected Island (NII) systems. In particular, the optimal management of the desalination demand can be proven quite beneficial in increasing the Renewable Energy Sources’ (RES) penetration, which is one of the main objectives in the day-ahead scheduling of the electricity system in Greek NIIs. This paper proposes a detailed representation of the desalination system, taking into account all the relevant constraints for the system’s operation. The mathematical representation of the aforementioned operation is incorporated in the day-ahead scheduling (DAS) for the case of Greek NII systems in order to define the optimal operational scheduling of a desalination system. The proposed optimisation procedure is applied for the desalination system installed in the Greek island of Kythnos. The results of the analysis indicate that the DAS problem shall be fully aware of the capabilities of the desalination system in order to allow specific water flows (in and out of specific reservoirs) at specific hours of the day, allowing the optimal exploitation of the available RES produced energy.

Suggested Citation

  • Ioannis Karakitsios & Aris Dimeas & Nikos Hatziargyriou, 2020. "Optimal Management of the Desalination System Demand in Non-Interconnected Islands," Energies, MDPI, vol. 13(15), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:4021-:d:394275
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    References listed on IDEAS

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    1. Li, Zhenyu & Siddiqi, Afreen & Anadon, Laura Diaz & Narayanamurti, Venkatesh, 2018. "Towards sustainability in water-energy nexus: Ocean energy for seawater desalination," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3833-3847.
    2. Ben Ali, I. & Turki, M. & Belhadj, J. & Roboam, X., 2018. "Optimized fuzzy rule-based energy management for a battery-less PV/wind-BWRO desalination system," Energy, Elsevier, vol. 159(C), pages 216-228.
    3. Li, Weiyi & Krantz, William B. & Cornelissen, Emile R. & Post, Jan W. & Verliefde, Arne R.D. & Tang, Chuyang Y., 2013. "A novel hybrid process of reverse electrodialysis and reverse osmosis for low energy seawater desalination and brine management," Applied Energy, Elsevier, vol. 104(C), pages 592-602.
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    Cited by:

    1. Wu, Zhenyu & Zhao, Xia & Mao, Yang & Liu, Ruimeng, 2024. "Flexibility quantification of desalination plants for demand response: An adaptive robust optimization methodology," Applied Energy, Elsevier, vol. 373(C).
    2. Elsir, Mohamed & Al-Sumaiti, Ameena Saad & El Moursi, Mohamed Shawky & Al-Awami, Ali Taleb, 2023. "Coordinating the day-ahead operation scheduling for demand response and water desalination plants in smart grid," Applied Energy, Elsevier, vol. 335(C).
    3. Prina, Matteo Giacomo & Groppi, Daniele & Nastasi, Benedetto & Garcia, Davide Astiaso, 2021. "Bottom-up energy system models applied to sustainable islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    4. Ariana M. Pietrasanta & Mostafa F. Shaaban & Pio A. Aguirre & Sergio F. Mussati & Mohamed A. Hamouda, 2023. "Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research," Sustainability, MDPI, vol. 15(12), pages 1-28, June.
    5. Zeyad A. Haidar & Mamdooh Al-Saud & Jamel Orfi & Hany Al-Ansary, 2021. "Reverse Osmosis Desalination Plants Energy Consumption Management and Optimization for Improving Power Systems Voltage Stability with PV Generation Resources," Energies, MDPI, vol. 14(22), pages 1-21, November.

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