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Lookup NU author(s): Dr Arman AlahyariORCiD, Professor Haris Patsios
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024 The Authors. Energy Storage Systems (ESSs) play a pivotal role in the evolving landscape of electrical generation, distribution, and consumption worldwide. As these systems are increasingly developed and deployed across diverse applications, the need for effective and efficient modeling has become more critical. This work provides a comprehensive overview of key Energy Storage Technologies utilized in electrical applications, highlighting their strengths, limitations, and roles across various use cases. The review offers in-depth analysis and commentary on the current state of energy storage modeling, addressing the challenges and opportunities within this research domain, and providing a novel resource for researchers in this field. To assist researchers in selecting appropriate modeling approaches, this paper explores three levels of modeling complexity, examined through the lens of five prominent energy storage technologies. By evaluating the trade-offs of different approaches and their suitability for various applications, the study serves as a state-of-the-art resource for researchers pursuing new energy storage studies. Furthermore, it examines trends in software and hardware adoption, including case studies and hardware-in-the-loop implementations, while identifying research gaps and opportunities for innovation. The review concludes with insights into future challenges in the field and proposes avenues for advancing energy storage modeling and application research.
Author(s): Hutchinson AJ, Harrison CM, Bryden TS, Alahyari A, Hu Y, Gladwin DT, Radcliffe J, Rogers DJ, Patsios C, Forsyth A
Publication type: Review
Publication status: Published
Journal: Journal of Energy Storage
Year: 2025
Volume: 109
Print publication date: 15/02/2025
Online publication date: 27/12/2024
Acceptance date: 14/12/2024
ISSN (print): 2352-152X
ISSN (electronic): 2352-1538
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.est.2024.115057
DOI: 10.1016/j.est.2024.115057
Data Access Statement: No data was used for the research described in the article.
