TY - JOUR
T1 - A comprehensive review of modeling approaches for grid-connected energy storage technologies
AU - Hutchinson, Andrew J.
AU - Harrison, Chris M.
AU - Bryden, Thomas S.
AU - Alahyari, Arman
AU - Hu, Yiheng
AU - Gladwin, Daniel T.
AU - Radcliffe, Jonathan
AU - Rogers, Daniel J.
AU - Patsios, Charalampos
AU - Forsyth, Andrew
N1 - Funding Information:
The authors gratefully acknowledge the financial support of the Engineering and Physical Sciences Research Council (EPSRC) in the form of the \u2018Energy Storage Integration for a Net Zero Grid\u2019 project under grant code EP/W02764X/1 .
Publisher Copyright:
© 2024 The Authors
PY - 2024/12/27
Y1 - 2024/12/27
N2 - 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.
AB - 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.
KW - Batteries
KW - Compressed air
KW - Energy storage modeling
KW - Flywheels
KW - Grid-scale storage
KW - Hydrogen
KW - Supercapacitors
UR - http://www.scopus.com/inward/record.url?scp=85213281652&partnerID=8YFLogxK
U2 - 10.1016/j.est.2024.115057
DO - 10.1016/j.est.2024.115057
M3 - Review article
AN - SCOPUS:85213281652
VL - 109
JO - Journal of Energy Storage
JF - Journal of Energy Storage
SN - 2352-1538
M1 - 115057
ER -