Energy storage systems impact on Egypt's future energy mix with high renewable energy penetration: A long-term analysis

El-Sayed, Ahmed Hassan A.; Khalil, Adel; Yehia, Mohamed

doi:10.1016/j.est.2024.112583

Journal of Energy Storage

2024

DOI: 10.1016/j.est.2024.112583

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Energy storage systems impact on Egypt's future energy mix with high renewable energy penetration: A long-term analysis

Ahmed Hassan A. El-Sayed,

Adel Khalil,

Mohamed Yehia

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Cited by 2 publications

References 26 publications

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Integrated Long‐Term Expansion Planning and Short‐Term Operation Assessment in Brazil Considering Utility‐Scale Storage

Borba,

Bitencourt,

Peters

et al. 2024

Energy Storage

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Long‐term power system expansion planning aligned with current sustainable development policies plays a pivotal role in achieving global targets for energy transition, particularly in developing countries. This paper presents a comprehensive long‐term expansion planning model for Brazil, taking into account decarbonisation pathways using OSeMOSYS integrated with Flextool. Four scenarios explore the potential benefits of increasing the share of variable renewable energy (VRE), specifically photovoltaic (PV) and offshore wind, to 40% of the total energy produced, both with and without a storage system. Results indicate that policies better aligned with net‐zero strategies do not impose a significant cost burden.

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Integrated Long‐Term Expansion Planning and Short‐Term Operation Assessment in Brazil Considering Utility‐Scale Storage

Borba,

Bitencourt,

Peters

et al. 2024

Energy Storage

View full text Add to dashboard Cite

show abstract

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

Razmjoo,

Ghazanfari,

Østergaard

et al. 2024

Sustainability

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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.

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Energy storage systems impact on Egypt's future energy mix with high renewable energy penetration: A long-term analysis

Cited by 2 publications

References 26 publications

Integrated Long‐Term Expansion Planning and Short‐Term Operation Assessment in Brazil Considering Utility‐Scale Storage

Integrated Long‐Term Expansion Planning and Short‐Term Operation Assessment in Brazil Considering Utility‐Scale Storage

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

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