IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i8p1882-d1376124.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/8/1882/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/8/1882/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sanghyun Yun & Jinwon Yun & Jaeyoung Han, 2023. "Development of a 470-Horsepower Fuel Cell–Battery Hybrid Xcient Dynamic Model Using Simscape TM," Energies, MDPI, vol. 16(24), pages 1-22, December.
    2. Hou, Junbo & Yang, Min & Ke, Changchun & Zhang, Junliang, 2020. "Control logics and strategies for air supply in PEM fuel cell engines," Applied Energy, Elsevier, vol. 269(C).
    3. Glotić, Arnel & Zamuda, Aleš, 2015. "Short-term combined economic and emission hydrothermal optimization by surrogate differential evolution," Applied Energy, Elsevier, vol. 141(C), pages 42-56.
    4. Ahmad Najjaran & Saleh Meibodi & Zhiwei Ma & Huashan Bao & Tony Roskilly, 2023. "Experimentally Validated Modelling of an Oscillating Diaphragm Compressor for Chemisorption Energy Technology Applications," Energies, MDPI, vol. 16(1), pages 1-17, January.
    5. Bizon, Nicu, 2014. "Tracking the maximum efficiency point for the FC system based on extremum seeking scheme to control the air flow," Applied Energy, Elsevier, vol. 129(C), pages 147-157.
    6. Milosavljevic, Predrag & Marchetti, Alejandro G. & Cortinovis, Andrea & Faulwasser, Timm & Mercangöz, Mehmet & Bonvin, Dominique, 2020. "Real-time optimization of load sharing for gas compressors in the presence of uncertainty," Applied Energy, Elsevier, vol. 272(C).
    7. Xenos, Dionysios P. & Cicciotti, Matteo & Kopanos, Georgios M. & Bouaswaig, Ala E.F. & Kahrs, Olaf & Martinez-Botas, Ricardo & Thornhill, Nina F., 2015. "Optimization of a network of compressors in parallel: Real Time Optimization (RTO) of compressors in chemical plants – An industrial case study," Applied Energy, Elsevier, vol. 144(C), pages 51-63.
    8. Tirnovan, R. & Giurgea, S. & Miraoui, A. & Cirrincione, M., 2009. "Modelling the characteristics of turbocompressors for fuel cell systems using hybrid method based on moving least squares," Applied Energy, Elsevier, vol. 86(7-8), pages 1283-1289, July.
    9. Mingzhang Pan & Chengjie Pan & Jinyang Liao & Chao Li & Rong Huang & Qiwei Wang, 2021. "Assessment of Sensitivity to Evaluate the Impact of Operating Parameters on Stability and Performance in Proton Exchange Membrane Fuel Cells," Energies, MDPI, vol. 14(14), pages 1-23, July.
    10. Tirnovan, R. & Giurgea, S. & Miraoui, A., 2011. "Strategies for optimizing the opening of the outlet air circuit's nozzle to improve the efficiency of the PEMFC generator," Applied Energy, Elsevier, vol. 88(4), pages 1197-1204, April.
    11. Bizon, N., 2010. "On tracking robustness in adaptive extremum seeking control of the fuel cell power plants," Applied Energy, Elsevier, vol. 87(10), pages 3115-3130, October.
    12. González-Espasandín, Óscar & Leo, Teresa J. & Raso, Miguel A. & Navarro, Emilio, 2019. "Direct methanol fuel cell (DMFC) and H2 proton exchange membrane fuel (PEMFC/H2) cell performance under atmospheric flight conditions of Unmanned Aerial Vehicles," Renewable Energy, Elsevier, vol. 130(C), pages 762-773.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:8:p:1882-:d:1376124. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.