IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v175y2021icp1101-1110.html
   My bibliography  Save this article

Collaborative design of multi-type parameters for design and operational stage matching in fuel cells

Author

Listed:
  • Yang, Qinwen
  • Xiao, Gang
  • Li, Lexi
  • Che, Mengjie
  • Hu, Xu-Qu
  • Meng, Min

Abstract

A collaborative design method for multi-types of graphite end plates geometric parameters, membrane electrolyte assembly physical parameters, and operating parameters, was novelly developed to break bounds of parameter types for design stage and operational stage matching in fuel cells. A multi-step design method, assisted by a surrogate-assisted hierarchical particle swarm optimization algorithm, was used for the optimal design of multi-type parameters. During this multi-step design process, the initial experiments are implemented following the design of experiments, and further experiments are adaptively carried out under the guidance of the layered optimization method. Experimental evidence of cell performance response to the coupled effects of multi-parameters was firstly provided and discussed in details. The collaborative design of multi-type parameters realized using the proposed multi-step design method was proven to improve the energy conversion efficiency by 10.9%. Different performance requirements, from single to multiple objectives in various types of fuel cells, were also shown to be fulfilled using this collaborative design method.

Suggested Citation

  • Yang, Qinwen & Xiao, Gang & Li, Lexi & Che, Mengjie & Hu, Xu-Qu & Meng, Min, 2021. "Collaborative design of multi-type parameters for design and operational stage matching in fuel cells," Renewable Energy, Elsevier, vol. 175(C), pages 1101-1110.
  • Handle: RePEc:eee:renene:v:175:y:2021:i:c:p:1101-1110
    DOI: 10.1016/j.renene.2021.04.142
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121006686
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2021.04.142?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. An, Myung-Gi & Mehmood, Asad & Ha, Heung Yong, 2014. "Sensor-less control of the methanol concentration of direct methanol fuel cells at varying ambient temperatures," Applied Energy, Elsevier, vol. 129(C), pages 104-111.
    2. 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.
    3. Pan, Zhefei & Bi, Yanding & An, Liang, 2019. "Performance characteristics of a passive direct ethylene glycol fuel cell with hydrogen peroxide as oxidant," Applied Energy, Elsevier, vol. 250(C), pages 846-854.
    4. Yuan, Wei & Wang, Aoyu & Ye, Guangzhao & Pan, Baoyou & Tang, Kairui & Chen, Haimu, 2017. "Dynamic relationship between the CO2 gas bubble behavior and the pressure drop characteristics in the anode flow field of an active liquid-feed direct methanol fuel cell," Applied Energy, Elsevier, vol. 188(C), pages 431-443.
    5. Wang, Junye, 2015. "Theory and practice of flow field designs for fuel cell scaling-up: A critical review," Applied Energy, Elsevier, vol. 157(C), pages 640-663.
    6. Sudaroli, B. Mullai & Kolar, Ajit Kumar, 2016. "An experimental study on the effect of membrane thickness and PTFE (polytetrafluoroethylene) loading on methanol crossover in direct methanol fuel cell," Energy, Elsevier, vol. 98(C), pages 204-214.
    7. Tafaoli-Masoule, M. & Bahrami, A. & Elsayed, E.M., 2014. "Optimum design parameters and operating condition for maximum power of a direct methanol fuel cell using analytical model and genetic algorithm," Energy, Elsevier, vol. 70(C), pages 643-652.
    8. Mehmood, Asad & An, Myung-Gi & Ha, Heung Yong, 2014. "Physical degradation of cathode catalyst layer: A major contributor to accelerated water flooding in long-term operation of DMFCs," Applied Energy, Elsevier, vol. 129(C), pages 346-353.
    9. García-Salaberri, Pablo A. & Vera, Marcos, 2016. "On the effect of operating conditions in liquid-feed direct methanol fuel cells: A multiphysics modeling approach," Energy, Elsevier, vol. 113(C), pages 1265-1287.
    10. Seo, Sang Hern & Lee, Chang Sik, 2010. "A study on the overall efficiency of direct methanol fuel cell by methanol crossover current," Applied Energy, Elsevier, vol. 87(8), pages 2597-2604, August.
    11. Yuan, Wei & Wang, Aoyu & Yan, Zhiguo & Tan, Zhenhao & Tang, Yong & Xia, Hongrong, 2016. "Visualization of two-phase flow and temperature characteristics of an active liquid-feed direct methanol fuel cell with diverse flow fields," Applied Energy, Elsevier, vol. 179(C), pages 85-98.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Qinwen & Gao, Bin & Cheng, Qiang & Xiao, Gang & Meng, Min, 2022. "Adaptive control strategy for power output stability in long-time operation of fuel cells," Energy, Elsevier, vol. 238(PA).
    2. Qinwen Yang & Gang Xiao & Tao Liu & Bin Gao & Shujun Chen, 2022. "Efficient Prediction of Fuel Cell Performance Using Global Modeling Method," Energies, MDPI, vol. 15(22), pages 1-14, November.

    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. Liu, Guicheng & Li, Xinyang & Wang, Hui & Liu, Xiuying & Chen, Ming & Woo, Jae Young & Kim, Ji Young & Wang, Xindong & Lee, Joong Kee, 2017. "Design of 3-electrode system for in situ monitoring direct methanol fuel cells during long-time running test at high temperature," Applied Energy, Elsevier, vol. 197(C), pages 163-168.
    2. Michaela Roschger & Sigrid Wolf & Kurt Mayer & Matthias Singer & Viktor Hacker, 2022. "Alkaline Direct Ethanol Fuel Cell: Effect of the Anode Flow Field Design and the Setup Parameters on Performance," Energies, MDPI, vol. 15(19), pages 1-16, October.
    3. Zhengang Zhao & Dongjie Li & Xiaoping Xu & Dacheng Zhang, 2023. "An Adaptive Joint Operating Parameters Optimization Approach for Active Direct Methanol Fuel Cells," Energies, MDPI, vol. 16(5), pages 1-14, February.
    4. Wang, Aoyu & Yuan, Wei & Huang, Shimin & Tang, Yong & Chen, Yu, 2017. "Structural effects of expanded metal mesh used as a flow field for a passive direct methanol fuel cell," Applied Energy, Elsevier, vol. 208(C), pages 184-194.
    5. Fang, Shuo & Zhang, Yufeng & Zou, Yuezhang & Sang, Shengtian & Liu, Xiaowei, 2017. "Structural design and analysis of a passive DMFC supplied with concentrated methanol solution," Energy, Elsevier, vol. 128(C), pages 50-61.
    6. Li, Yang & Zhang, Xuelin & Yuan, Weijian & Zhang, Yufeng & Liu, Xiaowei, 2018. "A novel CO2 gas removal design for a micro passive direct methanol fuel cell," Energy, Elsevier, vol. 157(C), pages 599-607.
    7. Fang, Shuo & Song, Nan & Liu, Yuntao & Zhao, Chunhui & Wang, Ying, 2024. "Comprehensive energy conversion efficiency analysis of micro direct methanol fuel cell stack based on polarization theory," Energy, Elsevier, vol. 287(C).
    8. Yuan, Wei & Wang, Aoyu & Ye, Guangzhao & Pan, Baoyou & Tang, Kairui & Chen, Haimu, 2017. "Dynamic relationship between the CO2 gas bubble behavior and the pressure drop characteristics in the anode flow field of an active liquid-feed direct methanol fuel cell," Applied Energy, Elsevier, vol. 188(C), pages 431-443.
    9. Huo, Sen & Cooper, Nathanial James & Smith, Travis Lee & Park, Jae Wan & Jiao, Kui, 2017. "Experimental investigation on PEM fuel cell cold start behavior containing porous metal foam as cathode flow distributor," Applied Energy, Elsevier, vol. 203(C), pages 101-114.
    10. Calabriso, Andrea & Borello, Domenico & Romano, Giovanni Paolo & Cedola, Luca & Del Zotto, Luca & Santori, Simone Giovanni, 2017. "Bubbly flow mapping in the anode channel of a direct methanol fuel cell via PIV investigation," Applied Energy, Elsevier, vol. 185(P2), pages 1245-1255.
    11. Fang, Shuo & Liu, Yuntao & Zhao, Chunhui & Huang, Lilian & Zhong, Zhi & Wang, Yun, 2021. "Polarization analysis of a micro direct methanol fuel cell stack based on Debye-Hückel ionic atmosphere theory," Energy, Elsevier, vol. 222(C).
    12. Yuan, Zhenyu & Zhang, Manna & Zuo, Kaiyuan & Ren, Yongqiang, 2018. "The effect of gravity on inner transport and cell performance in passive micro direct methanol fuel cell," Energy, Elsevier, vol. 150(C), pages 28-37.
    13. Qinwen Yang & Gang Xiao & Tao Liu & Bin Gao & Shujun Chen, 2022. "Efficient Prediction of Fuel Cell Performance Using Global Modeling Method," Energies, MDPI, vol. 15(22), pages 1-14, November.
    14. Najmi, Aezid-Ul-Hassan & Anyanwu, Ikechukwu S. & Xie, Xu & Liu, Zhi & Jiao, Kui, 2021. "Experimental investigation and optimization of proton exchange membrane fuel cell using different flow fields," Energy, Elsevier, vol. 217(C).
    15. Yuan, Zhenyu & Yang, Jie & Li, Xiaoyang & Wang, Shikai, 2016. "The micro-scale analysis of the micro direct methanol fuel cell," Energy, Elsevier, vol. 100(C), pages 10-17.
    16. Yuan, Zhenyu & Zhang, Yufeng & Fu, Wenting & Li, Zipeng & Liu, Xiaowei, 2013. "Investigation of a small-volume direct methanol fuel cell stack for portable applications," Energy, Elsevier, vol. 51(C), pages 462-467.
    17. Fang, Shuo & Zhang, Yufeng & Ma, Zezhong & Sang, Shengtian & Liu, Xiaowei, 2016. "Systemic modeling and analysis of DMFC stack for behavior prediction in system-level application," Energy, Elsevier, vol. 112(C), pages 1015-1023.
    18. Kim, Joon-Hee & Yang, Min-Jee & Park, Jun-Young, 2014. "Improvement on performance and efficiency of direct methanol fuel cells using hydrocarbon-based membrane electrode assembly," Applied Energy, Elsevier, vol. 115(C), pages 95-102.
    19. Mehmood, Asad & Ha, Heung Yong, 2014. "Performance restoration of direct methanol fuel cells in long-term operation using a hydrogen evolution method," Applied Energy, Elsevier, vol. 114(C), pages 164-171.
    20. Zhen Zhang & Chengzhi Guan & Leidong Xie & Jian-Qiang Wang, 2022. "Design and Analysis of a Novel Opposite Trapezoidal Flow Channel for Solid Oxide Electrolysis Cell Stack," Energies, MDPI, vol. 16(1), pages 1-11, December.

    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:eee:renene:v:175:y:2021:i:c:p:1101-1110. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.