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Parametric optimisation using data model to improve the energy efficiency of vanadium redox flow batteries
Date Issued
01-08-2023
Author(s)
Abstract
Renewable energy utilisation has become indispensable to attain carbon-zero goals in the near future. Given the intermittent nature of renewable energy sources, it is vital to have an efficient and steadfast storage medium to maintain a stable energy supply. Vanadium redox flow batteries (VRFB) are promising energy storage devices that can be utilised effectively in grid storage applications. Despite their advantages, VRFBs still struggle to compete with lithium-ion batteries in round-trip efficiency. The round-trip efficiency of VRFB can be maximised if all the physical and chemical parameters are optimised simultaneously. To do this, several experimental trials need to be performed to determine the individual and collective effects of the parameters. Hence, in this work, we built a data model for VRFB using literature data, and we revamped the model to be 90 % accurate in assessing the round-trip efficiency (energy efficiency) within the error range of ±2 %. Finally, we used the data model to optimise the parameters for improving the energy efficiency to around 97–98 % for a 4 cm2 active area cell at a current density of 50 mA cm−2. Researchers can utilise this approach for any batteries that need performance improvement with minimal experimental efforts.
Volume
64