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Cited by 348

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

A review of flywheel energy storage systems: state of the art and opportunities

Open access
Li, Xiaojun, Palazzolo, Alan·2022·Journal of Energy Storage

Abstract

Thanks to the unique advantages such as long life cycles, high power density, minimal environmental impact, and high power quality such as fast response and voltage stability, the flywheel/kinetic energy storage system (FESS) is gaining attention recently. There is noticeable progress made in FESS, especially in utility, large-scale deployment for the electrical grid, and renewable energy applications. This paper gives a review of the recent developments in FESS technologies. Due to the highly interdisciplinary nature of FESSs, we survey different design approaches, choices of subsystems, and the effects on performance, cost, and applications. This review focuses on the state of the art of FESS technologies, especially for those who have been commissioned or prototyped. We also highlighted the opportunities and potential directions for the future development of FESS technologies.

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Metadata

Authors
Li, X., & Palazzolo, A.
Venue
Journal of Energy Storage
Publisher
Elsevier BV
Published
2022-02
Volume
46
Pages
103576
ISSN
2352-152X (ISSN-L)
OpenAlex
W3133840471
Cited by
348
References
55
FWCI
22.32
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A review of flywheel energy storage systems: state of the art and opportunities. https://app.cochat.ai/papers/10.1016/j.est.2021.103576
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Li, X., & Palazzolo, A. (2022). A review of flywheel energy storage systems: state of the art and opportunities. Journal of Energy Storage. https://doi.org/10.1016/j.est.2021.103576

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.