Operational Parameter Analysis and Performance Optimization of Zinc–Bromine Redox Flow Battery

Ye-Qi Zhang, Guang-Xu Wang, Ru-Yi Liu and Tian-Hu Wang ()
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Ye-Qi Zhang: Department of Mathematics and Physics, North China Electric Power University, Beijing 102206, China
Guang-Xu Wang: Department of Mathematics and Physics, North China Electric Power University, Beijing 102206, China
Ru-Yi Liu: Key Laboratory of Power Station Energy Transfer Conversion and System, Ministry of Education, North China Electric Power University, Beijing 102206, China
Tian-Hu Wang: Key Laboratory of Power Station Energy Transfer Conversion and System, Ministry of Education, North China Electric Power University, Beijing 102206, China

Energies, 2023, vol. 16, issue 7, 1-18

Abstract: Zinc–bromine redox flow battery (ZBFB) is one of the most promising candidates for large-scale energy storage due to its high energy density, low cost, and long cycle life. However, numerical simulation studies on ZBFB are limited. The effects of operational parameters on battery performance and battery design strategy remain unclear. Herein, a 2D transient model of ZBFB is developed to reveal the effects of electrolyte flow rate, electrode thickness, and electrode porosity on battery performance. The results show that higher positive electrolyte flow rates can improve battery performance; however, increasing electrode thickness or porosity causes a larger overpotential, thus deteriorating battery performance. On the basis of these findings, a genetic algorithm was performed to optimize the batter performance considering all the operational parameters. It is found that the battery energy efficiency can reach 79.42% at a current density of 20 mA cm − 2 . This work is helpful to understand the energy storage characteristics and high-performance design of ZBFB operating at various conditions.

Keywords: large-scale energy storage; zinc–bromine redox flow battery; 2D transient model; operational parameters; optimization; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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