Abstract
Among the number of fuel cells in existence, the proton exchange membrane fuel cell (PEMFC) has been favored because of its numerous applications. Computational fluid dynamics (CFD) plays an important role in the development by providing in-depth analysis of PEMFCs gained from studying fluid flow and heat and mass transfer phenomena. The output obtained is useful for reducing the need for expensive prototypes and cutting down test-time by a substantial amount. This research is aimed at investigating the advances made in the use of CFD as a technique for the optimization of PEMFCs and studying the effect of some parameters on the performance of the fuel cell (FC) model, by using a new hybrid approach of CFD and Simultaneous Hybrid Exploration that is Robust, Progressive and Adaptive (SHERPA). to study, evaluate and improve the performance.
Original language | English |
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Title of host publication | Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 958-964 |
Number of pages | 7 |
Volume | 2018-March |
ISBN (Electronic) | 978-1-5090-6575-2 |
DOIs | |
Publication status | Published - 21 Mar 2018 |
Event | 9th International Conference on Modelling, Identification and Control, ICMIC 2017 - Kunming, China Duration: 10 Jul 2017 → 12 Jul 2017 |
Conference
Conference | 9th International Conference on Modelling, Identification and Control, ICMIC 2017 |
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Country/Territory | China |
City | Kunming |
Period | 10/07/17 → 12/07/17 |
Keywords
- bipolar plate (BPP)
- Computational Fluid Dynamics (CFD) HEEDS (Hierarchical Evolutionary Engineering Design)
- Optimization
- polymer electrolyte membrane fuel cell (PEMFC)
- Progressive and Adaptive)
- SHERPA (Simultaneous Hybrid Exploration that is Robust
- STAR CCM+ simulations