Owing to complex configurations and the multi-physics phenomenon in a Redox flow battery (RFB), designing an RFB flow frame through Computational fluid dynamics (CFD) or experimentally requires high design costs. As an alternative approach, a compartment model can be applied to the design of an optimal RFB flow frame. In this study, we developed a pre-design model to estimate the parameters related to the energy efficiency of an RFB. A key factor of the proposed model is applying a classical pipe network theory and an electric circuit analogy to an RFB flow frame and stack. The pre-design model enables an estimation of the total pressure drop, flow rate distribution, and shunt current at the RFB cells or stack. Model-based estimates show good agreement with CFD and experimental results.
Bibliographical noteFunding Information:
This research was supported by a Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korean Ministry of Trade, Industry &Energy(No. 2016020107060).
© 2018, The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature.
All Science Journal Classification (ASJC) codes
- Mechanics of Materials
- Mechanical Engineering