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Moving Toward the Expansion of Energy Storage Systems in Renewable Energy Systems—A Techno-Institutional Investigation with Artificial Intelligence Consideration

Author

Listed:
  • Armin Razmjoo

    (Escola Tècnica Superior d’Enginyeria Industrial de Barcelona (ETSEIB), Universitat Politècnica de Catalunya (UPC), Av. Diagonal, 647, 08028 Barcelona, Spain)

  • Arezoo Ghazanfari

    (School of Economics, Finance and Marketing, RMIT University, Melbourne, VIC 3000, Australia)

  • Poul Alberg Østergaard

    (Department of Sustainability and Planning, Aalborg University, Rendsburggade 14, 9000 Aalborg, Denmark)

  • Mehdi Jahangiri

    (Energy and Environment Research Center, Shahrekord Branch, Islamic Azad University, Shahrekord 8813733395, Iran)

  • Andreas Sumper

    (Escola Tècnica Superior d’Enginyeria Industrial de Barcelona (ETSEIB), Universitat Politècnica de Catalunya (UPC), Av. Diagonal, 647, 08028 Barcelona, Spain)

  • Sahar Ahmadzadeh

    (School of Computer Science & Data Science, York St John University, London Campus, London Branch, 6th Floor Export Building, 1 Clove Crescent, East India, London E14 2BA, UK)

  • Reza Eslamipoor

    (Leicester Castle Business School, De Montfort University, Leicester LE2 1RQ, UK)

Abstract

The role of energy storage as an effective technique for supporting energy supply is impressive because energy storage systems can be directly connected to the grid as stand-alone solutions to help balance fluctuating power supply and demand. This comprehensive paper, based on political, economic, sociocultural, and technological analysis, investigates the transition toward electricity systems with a large capacity for renewable energy sources combined with energy storage systems (ESS), along with a comprehensive overview of energy storage technologies; the role of AI in the development of ESS is also presented. This study aims to demonstrate how energy storage systems can be implemented with successful integration to increase electric grid flexibility. The results of the study indicate that this goal can be achieved with suitable planning and cooperation by the national, provincial, and local governments, while taking into account stakeholders’ needs and environmental concerns. In this regard, comprehensive analysis has revealed that procedures such as planning, increasing rewards for renewable energy storage, technological innovation, expanding subsidies, and encouraging investment in infrastructure for renewable energy and large-scale battery storage are crucial for the development of energy storage systems. Furthermore, stakeholders should be able to comprehend the benefits of energy storage systems and their provided valuable services, and engage in the adoption process. Moreover, leveraging AI can significantly enhance the implementation and operation of energy storage systems in energy systems, enabling governments and policymakers to optimize the storage and distribution of energy from renewable sources.

Suggested Citation

  • Armin Razmjoo & Arezoo Ghazanfari & Poul Alberg Østergaard & Mehdi Jahangiri & Andreas Sumper & Sahar Ahmadzadeh & Reza Eslamipoor, 2024. "Moving Toward the Expansion of Energy Storage Systems in Renewable Energy Systems—A Techno-Institutional Investigation with Artificial Intelligence Consideration," Sustainability, MDPI, vol. 16(22), pages 1-25, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9926-:d:1520792
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