A Long Lifetime Aqueous Organic Solar Flow Battery

Wenjie Li, Emily Kerr, Marc Antoni Goulet, Hui-Chun Fu, Yuzhou Zhao, Ying Yang, Atilla Veyssal, Jr-Hau He, Roy G. Gordon, Michael J. Aziz, Song Jin

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

Monolithically integrated solar flow batteries (SFBs) hold promise as compact stand-alone energy systems for off-grid solar electrification. Although considerable research is devoted to studying and improving the round-trip efficiency of SFBs, little attention is paid to the device lifetime. Herein, a neutral pH aqueous electrolyte SFB with robust organic redox couples and inexpensive silicon-based photoelectrodes is demonstrated. Enabled by the excellent stability of both electrolytes and protected photoelectrodes, this SFB device exhibits not only unprecedented stable continuous cycling performance over 200 h but also a capacity utilization rate higher than 80%. Moreover, through comprehensive study on the working mechanisms of SFBs, a new theory based on instantaneous solar-to-output electricity efficiency toward more optimized device design is developed and a significantly improved solar-to-output electricity efficiency of 5.4% from single-junction silicon photoelectrodes is realized. The design principles presented in this work for extending device lifetime and boosting round trip energy efficiency will make SFBs more competitive for off-grid applications.
Original languageEnglish (US)
Pages (from-to)1900918
JournalAdvanced Energy Materials
Volume9
Issue number31
DOIs
StatePublished - Jul 8 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): OSR-2017-CRG6-3453.02
Acknowledgements: This research was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-2017-CRG6-3453.02. H.-C.F. and J.-H.H. were supported by KAUST baseline fund for design and fabrication of single junction Si solar cells. Research at Harvard was supported by the U.S. National Science Foundation through Grant No. NSF CBET-1509041.

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