Development of efficient aqueous organic redox flow batteries using ion-sieving sulfonated polymer membranes.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
08 Jun 2022
Historique:
received: 16 08 2021
accepted: 23 05 2022
entrez: 8 6 2022
pubmed: 9 6 2022
medline: 9 6 2022
Statut: epublish

Résumé

Redox flow batteries using aqueous organic-based electrolytes are promising candidates for developing cost-effective grid-scale energy storage devices. However, a significant drawback of these batteries is the cross-mixing of active species through the membrane, which causes battery performance degradation. To overcome this issue, here we report size-selective ion-exchange membranes prepared by sulfonation of a spirobifluorene-based microporous polymer and demonstrate their efficient ion sieving functions in flow batteries. The spirobifluorene unit allows control over the degree of sulfonation to optimize the transport of cations, whilst the microporous structure inhibits the crossover of organic molecules via molecular sieving. Furthermore, the enhanced membrane selectivity mitigates the crossover-induced capacity decay whilst maintaining good ionic conductivity for aqueous electrolyte solution at pH 9, where the redox-active organic molecules show long-term stability. We also prove the boosting effect of the membranes on the energy efficiency and peak power density of the aqueous redox flow battery, which shows stable operation for about 120 h (i.e., 2100 charge-discharge cycles at 100 mA cm

Identifiants

pubmed: 35676263
doi: 10.1038/s41467-022-30943-y
pii: 10.1038/s41467-022-30943-y
pmc: PMC9177609
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3184

Subventions

Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
ID : 758370
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M01486X/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M01486X/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/V047078/1
Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : 851272

Informations de copyright

© 2022. The Author(s).

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Auteurs

Chunchun Ye (C)

Department of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK.
EaStCHEM, School of Chemistry, University of Edinburgh, Edinburgh, EH9 3FJ, UK.

Anqi Wang (A)

Department of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK.

Charlotte Breakwell (C)

Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, London, W12 0BZ, UK.

Rui Tan (R)

Department of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK.

C Grazia Bezzu (C)

EaStCHEM, School of Chemistry, University of Edinburgh, Edinburgh, EH9 3FJ, UK.

Elwin Hunter-Sellars (E)

Department of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK.

Daryl R Williams (DR)

Department of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK.

Nigel P Brandon (NP)

Department of Earth Science and Engineering, Imperial College London, London, UK.

Peter A A Klusener (PAA)

Shell Global Solutions International B.V., Shell Technology Centre Amsterdam, Grasweg 31, 1031 HW, Amsterdam, The Netherlands.

Anthony R Kucernak (AR)

Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, London, W12 0BZ, UK.

Kim E Jelfs (KE)

Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, London, W12 0BZ, UK.

Neil B McKeown (NB)

EaStCHEM, School of Chemistry, University of Edinburgh, Edinburgh, EH9 3FJ, UK. neil.mckeown@ed.ac.uk.

Qilei Song (Q)

Department of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK. q.song@imperial.ac.uk.

Classifications MeSH