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Improved electro-kinetics of new electrolyte composition for realizing high-performance zinc-bromine redox flow battery

Authors :
Yogapriya Vetriselvam
Gnana Sangeetha Ramachandran
Raghupandiyan Naresh
Karuppusamy Mariyappan
Ragupathy Pitchai
Mani Ulaganathan
Source :
Next Energy, Vol 4, Iss , Pp 100123- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Aqueous Redox Flow Batteries (ARFB) are the most prominent technology for large-scale energy storage applications. The energy density of the ARFBs is mainly determined by the electrolyte components, which highly influence the flow battery performance. In the present work, we acutely investigated the various electrolyte compositions and optimized the best electrolyte for realizing the high performance of Zn-Br2 ARFBs. The electrode kinetics, such as rate constant, exchange current density, conductivity, and diffusion coefficient, were analyzed using electrochemical techniques, cyclic voltammetry, and electrochemical impedance analysis. It was observed that zinc bromide (ZnBr2) + perchloric acid (HClO4) + 1-Ethyl-1-methylmorpholinium bromide (MEM) + N-ethyl-N-methylpyrrolidinium bromide (MEP) and ZnBr2 + zinc chloride (ZnCl2) + MEM + MEP electrolytes showed improved performance, where the redox kinetics of 2Br-/Br2 redox couple is greatly enhanced. The presence of perchloric acid unlocks the capacity of full electro-oxidation of bromide (Br-) to bromine (Br2) as it involves 1e- per Br-, which would be highly beneficial to attain high energy density. Further, Zn-Br2 RFB adopted with optimized electrolyte formulation ZnBr2 + HClO4 + MEM+ MEP shows a better round-trip efficiency and displays a stable long cycling performance over 200 cycles with an energy (EE) and coulombic efficiency (CE) of > 68% and > 92%, respectively.

Details

Language :
English
ISSN :
2949821X
Volume :
4
Issue :
100123-
Database :
Directory of Open Access Journals
Journal :
Next Energy
Publication Type :
Academic Journal
Accession number :
edsdoj.15f8121007f4ce686a78140a0d9abe8
Document Type :
article
Full Text :
https://doi.org/10.1016/j.nxener.2024.100123