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The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

Progress and prospects of next-generation redox flow batteries

Open access
Zhang, Changkun, Zhang, Leyuan, Ding, Yu, Peng, Sangshan, Guo, Xuelin, Zhao, Yu, He, Gaohong, Yu, Guihua·2018·Energy Storage Materials

Abstract

Abstract As one of the most promising electrochemical energy storage systems, redox flow batteries (RFBs) have received increasing attention due to their attractive features for large-scale storage applications. However, their practical deployment in commerce and industry is still impeded by their relatively high cost and low energy density. Therefore, developments of the next-generation RFBs should address these challenges by exploring new redox-active electrolytes and novel membranes with higher ionic selectivity and conductivity, which help to achieve lower cost, longer life and higher energy and power density. In this review, we present a critical overview of the latest progress on the key components of RFBs, including redox species and membranes. Current progress on optimization strategies of the performance of RFB systems, computational modeling, prospects and opportunities in exploration of the advanced RFB systems are also summarized.

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Metadata

Authors
Zhang, C., Zhang, L., Ding, Y., Peng, S., Guo, X., Zhao, Y., He, G., & Yu, G.
Venue
Energy Storage Materials
Publisher
Elsevier BV
Published
2018-11
Volume
15
Pages
324-350
ISSN
  • 2405-8289 (ISSN-L)
  • 2405-8297
OpenAlex
W2808556316
Cited by
336
References
123
FWCI
14.11
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Progress and prospects of next-generation redox flow batteries. https://app.cochat.ai/papers/10.1016/j.ensm.2018.06.008
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Zhang, C., Zhang, L., Ding, Y., Peng, S., Guo, X., Zhao, Y., He, G., & Yu, G. (2018). Progress and prospects of next-generation redox flow batteries. Energy Storage Materials. https://doi.org/10.1016/j.ensm.2018.06.008

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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.