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Reliability-Based Design Optimization of the PEMFC Flow Field with Consideration of Statistical Uncertainty of Design Variables

Author

Listed:
  • Seongku Heo

    (Department of Mechanical Engineering, Inha University, Incheon 22212, Republic of Korea)

  • Jaeyoo Choi

    (Department of Mechanical Engineering, Inha University, Incheon 22212, Republic of Korea)

  • Yooseong Park

    (Department of Mechanical Engineering, Inha University, Incheon 22212, Republic of Korea)

  • Neil Vaz

    (Department of Mechanical Engineering, Inha University, Incheon 22212, Republic of Korea)

  • Hyunchul Ju

    (Department of Mechanical Engineering, Inha University, Incheon 22212, Republic of Korea)

Abstract

Recently, with the fourth industrial revolution, the research cases that search for optimal design points based on neural networks or machine learning have rapidly increased. In addition, research on optimization is continuously reported in the field of fuel cell research using hydrogen as fuel. However, in the case of optimization research, it often requires a large amount of training data, which means that it is more suitable for numerical research such as CFD simulation rather than time-consuming research such as actual experiments. As is well known, the design range of fuel cell flow channels is extremely small, ranging from hundreds of microns to several millimeters, which means the small tolerance could cause fatal performance loss. In this study, the general optimization study was further improved in terms of reliability by considering stochastic tolerances that may occur in actual industry. The optimization problem was defined to maximize stack power, which is employed as objective function, under the constraints such as pressure drop and current density standard deviation; the performance of the optimal point through general optimization was about 3.252 kW/L. In the reliability-based optimization problem, the boundary condition for tolerance was set to 0.1 mm and tolerance was assumed to occur along a normal distribution. The optimal point to secure 99% reliability for the given constraints was 2.918 kW/L, showing significantly lower performance than the general optimal point.

Suggested Citation

  • Seongku Heo & Jaeyoo Choi & Yooseong Park & Neil Vaz & Hyunchul Ju, 2024. "Reliability-Based Design Optimization of the PEMFC Flow Field with Consideration of Statistical Uncertainty of Design Variables," Energies, MDPI, vol. 17(8), pages 1-27, April.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:8:p:1882-:d:1376124
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    References listed on IDEAS

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    1. Ko, Donggun & Doh, Seungwoo & Park, Hyun Sun & Kim, Moo Hwan, 2018. "Investigation of the effect of operating pressure on the performance of proton exchange membrane fuel cell: In the aspect of water distribution," Renewable Energy, Elsevier, vol. 115(C), pages 896-907.
    2. Tirnovan, R. & Giurgea, S. & Miraoui, A. & Cirrincione, M., 2008. "Surrogate modelling of compressor characteristics for fuel-cell applications," Applied Energy, Elsevier, vol. 85(5), pages 394-403, May.
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