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Computational design of flow fields for vanadium redox flow batteries via topology optimization
- Source :
- Journal of Energy Storage. 26:100990
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Vanadium redox flow battery (VRFB) is a rechargeable battery, which has attracted attention as a next-generation electrochemical energy storage system. It is widely known that achieving high performance in terms of power density is critical for the commercialization of VRFBs. The aim of this paper is to propose a computational design approach for automatically generating an optimized flow field design of a VRFB to achieve high performance without relying on the designer’s intuition. To realize this, we focus on generating a freeform configuration of the flow field in a VRFB via topology optimization, which is known as a powerful design tool that is based on numerical optimization. In this study, to improve the mass transfer effect in a VRFB, we formulate the topology optimization problem as a maximization problem of the electrode surface concentration in the negative electrode during the charging process. We demonstrate through numerical investigation that a topology-optimized flow field can be obtained. As a result, it is revealed that the interdigitated flow field is an optimal flow field of the VRFB under the investigated operating conditions.
- Subjects :
- Battery (electricity)
Field (physics)
Renewable Energy, Sustainability and the Environment
Computer science
020209 energy
Topology optimization
Design tool
Process (computing)
Energy Engineering and Power Technology
02 engineering and technology
Maximization
021001 nanoscience & nanotechnology
Flow battery
Flow (mathematics)
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Electrical and Electronic Engineering
0210 nano-technology
Subjects
Details
- ISSN :
- 2352152X
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Journal of Energy Storage
- Accession number :
- edsair.doi...........557e1f2382fea226bff533d0bf292b94