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Coordinated operation for a resilient and green energy-water supply system: A co-optimization approach with flexible strategies

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  • Ba-Alawi, Abdulrahman H.
  • Nguyen, Hai-Tra
  • Yoo, ChangKyoo

Abstract

Sustainable operation of green renewable energy (RE)-powered reverse osmosis (RO) desalination (RE-RO) systems requires co-optimization and smart strategies to reduce costs, losses and enhance system flexibility. This study proposes a decentralized distribution system (DDS) that includes a coordinated multi-objective optimization model with smart strategies for efficient operation and planning of the RE-RO system. The DDS optimizes operation by incorporating demand-side water management (DSWM) and bidirectional regulation (BDR) in the distribution network to minimize operation and emission costs, maximize system resilience, and meet the required demand. Then, sustainable planning strategies are suggested to prioritize relevant technical factors and subfactors for improving the future operation of the DDS based on multi-criteria assessment. With proposed DDS integration, the RE-RO system achieved a 17.4 % reduction in operational costs, a 46.79 % decrease in CO2 emissions, and a 70.96 % improvement in overall system resilience through effective management of water and energy surpluses and deficits. Among the operational planning strategies, the most critical criterion was DSWM-BDR based scheduling, representing 72.09 % of the strategic focus. Thus, the implementation of the proposed coordinated operating and planning strategies can significantly contribute to the development of a sustainable energy-water system, alleviate water scarcity, and facilitate climate change adaptation.

Suggested Citation

  • Ba-Alawi, Abdulrahman H. & Nguyen, Hai-Tra & Yoo, ChangKyoo, 2024. "Coordinated operation for a resilient and green energy-water supply system: A co-optimization approach with flexible strategies," Energy, Elsevier, vol. 304(C).
    • Handle: RePEc:eee:energy:v:304:y:2024:i:c:s0360544224019121
    DOI: 10.1016/j.energy.2024.132138
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    as
    1. Kang, Hyuna & Jung, Seunghoon & Lee, Minhyun & Hong, Taehoon, 2022. "How to better share energy towards a carbon-neutral city? A review on application strategies of battery energy storage system in city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    2. 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).
    3. 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).
    4. Wang, Xipan & Song, Junnian & Xing, Jiahao & Duan, Haiyan & Wang, Xian'en, 2022. "System nexus consolidates coupling of regional water and energy efficiencies," Energy, Elsevier, vol. 256(C).
    5. Janghorban Esfahani, Iman & Yoo, ChangKyoo, 2016. "An optimization algorithm-based pinch analysis and GA for an off-grid batteryless photovoltaic-powered reverse osmosis desalination system," Renewable Energy, Elsevier, vol. 91(C), pages 233-248.
    6. Xiong, Jinlin & Peng, Tian & Tao, Zihan & Zhang, Chu & Song, Shihao & Nazir, Muhammad Shahzad, 2023. "A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction," Energy, Elsevier, vol. 266(C).
    7. Chen, Wei-Ming & Kim, Hana & Yamaguchi, Hideka, 2014. "Renewable energy in eastern Asia: Renewable energy policy review and comparative SWOT analysis for promoting renewable energy in Japan, South Korea, and Taiwan," Energy Policy, Elsevier, vol. 74(C), pages 319-329.
    8. Shaukat, N. & Ali, S.M. & Mehmood, C.A. & Khan, B. & Jawad, M. & Farid, U. & Ullah, Z. & Anwar, S.M. & Majid, M., 2018. "A survey on consumers empowerment, communication technologies, and renewable generation penetration within Smart Grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1453-1475.
    9. Li, Qian & Loy-Benitez, Jorge & Nam, KiJeon & Hwangbo, Soonho & Rashidi, Jouan & Yoo, ChangKyoo, 2019. "Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks," Energy, Elsevier, vol. 178(C), pages 277-292.
    10. Menke, Ruben & Abraham, Edo & Parpas, Panos & Stoianov, Ivan, 2016. "Demonstrating demand response from water distribution system through pump scheduling," Applied Energy, Elsevier, vol. 170(C), pages 377-387.
    11. Kang, Jianfang & Xu, Liping & Ren, Xiaohui & Li, Chonglei & Jia, Zhibin & Li, Jinhua & Zhang, Yun, 2024. "An integrated assessment and prediction approach of water-energy nexus at the provincial scale: A case study of Inner Mongolia, China," Energy, Elsevier, vol. 291(C).
    12. Safder, Usman & Hai, Tra Nguyen & Loy-Benitez, Jorge & Yoo, ChangKyoo, 2022. "Nationwide policymaking strategies to prevent future electricity crises in developing countries using data-driven forecasting and fuzzy-SWOT analyses," Energy, Elsevier, vol. 259(C).
    13. Nam, KiJeon & Hwangbo, Soonho & Yoo, ChangKyoo, 2020. "A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    14. Eltawil, Mohamed A. & Zhengming, Zhao & Yuan, Liqiang, 2009. "A review of renewable energy technologies integrated with desalination systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2245-2262, December.
    15. Nguyen, Hai-Tra & Safder, Usman & Loy-Benitez, Jorge & Yoo, ChangKyoo, 2022. "Optimal demand side management scheduling-based bidirectional regulation of energy distribution network for multi-residential demand response with self-produced renewable energy," Applied Energy, Elsevier, vol. 322(C).
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    1. Nguyen, Hai-Tra & Ba-Alawi, Abdulrahman H. & Yoo, ChangKyoo, 2024. "Flexible supply-demand side management towards a sustainable decentralized distribution network: A net-negative Water-energy-emissions Nexus assessment," Applied Energy, Elsevier, vol. 375(C).

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