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Topology optimization for the design of flow fields in a redox flow battery
- Source :
- Structural and Multidisciplinary Optimization. 57:535-546
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- This paper presents topology optimization for the design of flow fields in vanadium redox flow batteries (VRFBs), which are large-scale storage systems for renewable energy resources such as solar and wind power. It is widely known that, in recent VRFB systems, one of the key factors in boosting charging or discharging efficiency is the design of the flow field around carbon fiber electrodes and in flow channels. In this study, topology optimization is applied in order to achieve optimized flow field designs. The optimization problem is formulated as a maximization problem for the generation rate of the vanadium species governed by a simplified electrochemical reaction model. A typical porous model is incorporated into the optimization problem for expressing the carbon fiber electrode; furthermore, a mass transfer coefficient that depends on local velocity is introduced. We investigate the dependencies of the optimized configuration with respect to the porosity of the porous electrode and the pressure loss. Results indicate that patterns of interdigitated flow fields are valid designs for VRFBs.
- Subjects :
- Pressure drop
Mass transfer coefficient
Control and Optimization
Optimization problem
Materials science
Wind power
business.industry
020209 energy
Topology optimization
Mechanical engineering
02 engineering and technology
021001 nanoscience & nanotechnology
Computer Graphics and Computer-Aided Design
Flow battery
Computer Science Applications
Control and Systems Engineering
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
0210 nano-technology
Porosity
Engineering design process
business
Software
Subjects
Details
- ISSN :
- 16151488 and 1615147X
- Volume :
- 57
- Database :
- OpenAIRE
- Journal :
- Structural and Multidisciplinary Optimization
- Accession number :
- edsair.doi...........4d1fea7dc41109d1ab20f01173910cee