Thermo-electrochemical modeling of thermally regenerative flow batteries

Cai，Yuhao1; Qian，Xin3,4; Su，Ruihang1; Jia，Xiongjie1; Ying，Jinhui1; Zhao，Tianshou1,2; Jiang，Haoran1

2024-02-01

10.1016/j.apenergy.2023.122204

Applied Energy   影响因子和分区

0306-2619

Thermally regenerative flow batteries are promising for harvesting the ubiquitous low-grade heat energy. Efforts have been made to improve the performance of this type of battery by focusing mainly on thermodynamics perspectives, but ignoring the mass transfer and electrochemical kinetics of the battery. In this work, a thermo-electrochemical model is developed for analyzing effects of the heat transfer irreversibility, overpotential losses, mass transfer, and temperature-dependent resistances on the energy conversion, based on which a five-dimensional performance evaluation framework is proposed for the first time. Results show that the Nernstian loss, concentration loss, and ohmic loss are the main limiting steps for thermo-electricity conversion, and a trade-off between different performance indices exists. To realize the synergistic improvement of the thermo-electrochemical performance, a multi-objective optimization scheme based on a genetic algorithm is developed, and a power density of 13.22 μW cm, thermal efficiency of 8.17%, output-voltage efficiency of 48.17%, exergy efficiency of 46.47% and ecological coefficient of performance of 1.23 is achieved, which is among the highest performance in the open literature. The methods and results reported here pave a new way for the design and optimization of thermally regenerative flow batteries.

Genetic algorithm Low-grade heat Multi-objective optimization Thermally regenerative flow batteries Thermo-electrochemical modeling

SCI ; EI

英语

通讯

ENGINEERING

2-s2.0-85177208003

Scopus

1.Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (MOE),Tianjin University,Tianjin,China
2.Department of Mechanical and Energy Engineering,Southern University of Science and Technology,Shenzhen,China
3.Department of Engineering Thermophysics,School of Energy and Power Engineering,Huazhong University of Science and Technology,Wuhan,China
4.State Key Laboratory of Coal Combustion,School of Energy and Power Engineering,Huazhong University of Science and Technology,Wuhan,China

Cai，Yuhao,Qian，Xin,Su，Ruihang,et al. Thermo-electrochemical modeling of thermally regenerative flow batteries[J]. Applied Energy,2024,355.

Cai，Yuhao.,Qian，Xin.,Su，Ruihang.,Jia，Xiongjie.,Ying，Jinhui.,...&Jiang，Haoran.(2024).Thermo-electrochemical modeling of thermally regenerative flow batteries.Applied Energy,355.

Cai，Yuhao,et al."Thermo-electrochemical modeling of thermally regenerative flow batteries".Applied Energy 355(2024).