Razmjoo, Armin ORCID: https://orcid.org/0000-0001-9415-4649, Ghazanfari, Arezoo ORCID: https://orcid.org/0000-0003-1098-9783, Østergaard, Poul Alberg ORCID: https://orcid.org/0000-0002-6796-6526, Jahangiri, Mehdi ORCID: https://orcid.org/0000-0001-6803-8804, Sumper, Andreas ORCID: https://orcid.org/0000-0002-5628-1660, Ahmadzadeh, Sahar and Eslamipoor, Reza ORCID: https://orcid.org/0009-0001-4686-8484 (2024) Moving Toward the Expansion of Energy Storage Systems in Renewable Energy Systems—A Techno-Institutional Investigation with Artificial Intelligence Consideration. Sustainability, 16 (22). p. 9926.

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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.

Item Type:	Article
Status:	Published
DOI:	10.3390/su16229926
School/Department:	London Campus
URI:	https://ray.yorksj.ac.uk/id/eprint/11109

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