IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v36y2011i12p3319-3331.html
   My bibliography  Save this article

The effect of fuel cell operational conditions on the water content distribution in the polymer electrolyte membrane

Author

Listed:
  • Tavakoli, B.
  • Roshandel, R.

Abstract

Models play an important role in fuel cell design and development. One of the critical problems to overcome in the proton exchange membrane (PEM) fuel cells is the water management. In this work a steady state, two-dimensional, isothermal model in a single PEM fuel cell using individual computational fluid dynamics code was presented. Special attention was devoted to the water transport through the membrane which is assumed to be combined effect of diffusion, electro-osmotic drag and convection. The effect of current density variation distribution on the water content (λ) in membrane/electrode assembly (MEA) was determined. In this work the membrane heat conductivity is considered as a function of water content and the effect of temperature distribution in membrane is also analyzed. After that detail distributions of oxygen concentration, water content in membrane, net water flux and different overpotentials were calculated. Our simulation results show the reduction of reactant concentration in flow channels has a significant effect on electrochemical reaction in the gas diffusion and catalyst layer. Different fluxes are compared to investigate the effect of operating condition on the water fluxes in membrane. The amounts of different fluxes are strong function of current density, which is related to external load. The model also can use for simulating different kind of membranes. The model prediction of water content curves are compared with one-dimensional model predictions data reported in the validated open literature and a good compatibility were observed.

Suggested Citation

  • Tavakoli, B. & Roshandel, R., 2011. "The effect of fuel cell operational conditions on the water content distribution in the polymer electrolyte membrane," Renewable Energy, Elsevier, vol. 36(12), pages 3319-3331.
  • Handle: RePEc:eee:renene:v:36:y:2011:i:12:p:3319-3331
    DOI: 10.1016/j.renene.2011.05.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148111002060
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2011.05.003?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. Yu, Li-jun & Ren, Geng-po & Qin, Ming-jun & Jiang, Xiu-min, 2009. "Transport mechanisms and performance simulations of a PEM fuel cell with interdigitated flow field," Renewable Energy, Elsevier, vol. 34(3), pages 530-543.
    2. Moreira, Marcos V. & da Silva, Gisele E., 2009. "A practical model for evaluating the performance of proton exchange membrane fuel cells," Renewable Energy, Elsevier, vol. 34(7), pages 1734-1741.
    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. Hasheminasab, M. & Kermani, M.J. & Nourazar, S.S. & Khodsiani, M.H., 2020. "A novel experimental based statistical study for water management in proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 264(C).
    2. Ozden, Adnan & Shahgaldi, Samaneh & Li, Xianguo & Hamdullahpur, Feridun, 2018. "A graphene-based microporous layer for proton exchange membrane fuel cells: Characterization and performance comparison," Renewable Energy, Elsevier, vol. 126(C), pages 485-494.
    3. Han, In-Su & Lim, Jongkoo & Jeong, Jeehoon & Shin, Hyun Khil, 2013. "Effect of serpentine flow-field designs on performance of PEMFC stacks for micro-CHP systems," Renewable Energy, Elsevier, vol. 54(C), pages 180-188.
    4. Boulon, L. & Agbossou, K. & Hissel, D. & Sicard, P. & Bouscayrol, A. & Péra, M.-C., 2012. "A macroscopic PEM fuel cell model including water phenomena for vehicle simulation," Renewable Energy, Elsevier, vol. 46(C), pages 81-91.
    5. Roshandel, R. & Arbabi, F. & Moghaddam, G. Karimi, 2012. "Simulation of an innovative flow-field design based on a bio inspired pattern for PEM fuel cells," Renewable Energy, Elsevier, vol. 41(C), pages 86-95.
    6. Pan, Mingzhang & Pan, Chengjie & Li, Chao & Zhao, Jian, 2021. "A review of membranes in proton exchange membrane fuel cells: Transport phenomena, performance and durability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).

    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. Hou, Yongping & Shen, Caoyuan & Hao, Dong & Liu, Yanan & Wang, Hong, 2014. "A dynamic model for hydrogen consumption of fuel cell stacks considering the effects of hydrogen purge operation," Renewable Energy, Elsevier, vol. 62(C), pages 672-678.
    2. Movahedi, M. & Ramiar, A. & Ranjber, A.A., 2018. "3D numerical investigation of clamping pressure effect on the performance of proton exchange membrane fuel cell with interdigitated flow field," Energy, Elsevier, vol. 142(C), pages 617-632.
    3. Hossain, Mamdud & Islam, Sheikh Zahidul & Pollard, Patricia, 2013. "Investigation of species transport in a gas diffusion layer of a polymer electrolyte membrane fuel cell through two-phase modelling," Renewable Energy, Elsevier, vol. 51(C), pages 404-418.
    4. José-Luis Casteleiro-Roca & Antonio Javier Barragán & Francisca Segura & José Luis Calvo-Rolle & José Manuel Andújar, 2019. "Fuel Cell Output Current Prediction with a Hybrid Intelligent System," Complexity, Hindawi, vol. 2019, pages 1-10, February.
    5. Bai, Fan & Quan, Hong-Bing & Yin, Ren-Jie & Zhang, Zhuo & Jin, Shu-Qi & He, Pu & Mu, Yu-Tong & Gong, Xiao-Ming & Tao, Wen-Quan, 2022. "Three-dimensional multi-field digital twin technology for proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 324(C).
    6. Ramiar, A. & Mahmoudi, A.H. & Esmaili, Q. & Abdollahzadeh, M., 2016. "Influence of cathode flow pulsation on performance of proton exchange membrane fuel cell with interdigitated gas distributors," Energy, Elsevier, vol. 94(C), pages 206-217.
    7. Andújar, J.M. & Segura, F. & Durán, E. & Rentería, L.A., 2011. "Optimal interface based on power electronics in distributed generation systems for fuel cells," Renewable Energy, Elsevier, vol. 36(11), pages 2759-2770.
    8. S. M. Seyed Mahmoudi & Niloufar Sarabchi & Mortaza Yari & Marc A. Rosen, 2019. "Exergy and Exergoeconomic Analyses of a Combined Power Producing System including a Proton Exchange Membrane Fuel Cell and an Organic Rankine Cycle," Sustainability, MDPI, vol. 11(12), pages 1-25, June.
    9. Hossain, Mamdud & Islam, Sheikh Zahidul & Colley-Davies, Amy & Adom, Ebenezer, 2013. "Water dynamics inside a cathode channel of a polymer electrolyte membrane fuel cell," Renewable Energy, Elsevier, vol. 50(C), pages 763-779.
    10. Pottmaier, D. & Melo, C.R. & Sartor, M.N. & Kuester, S. & Amadio, T.M. & Fernandes, C.A.H. & Marinha, D. & Alarcon, O.E., 2013. "The Brazilian energy matrix: From a materials science and engineering perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 678-691.
    11. Niknam, Taher & Meymand, Hamed Zeinoddini & Mojarrad, Hasan Doagou, 2011. "A practical multi-objective PSO algorithm for optimal operation management of distribution network with regard to fuel cell power plants," Renewable Energy, Elsevier, vol. 36(5), pages 1529-1544.
    12. José-Luis Casteleiro-Roca & Francisco José Vivas & Francisca Segura & Antonio Javier Barragán & Jose Luis Calvo-Rolle & José Manuel Andújar, 2020. "Hybrid Intelligent Modelling in Renewable Energy Sources-Based Microgrid. A Variable Estimation of the Hydrogen Subsystem Oriented to the Energy Management Strategy," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    13. Abdollahzadeh, M. & Pascoa, J.C. & Ranjbar, A.A. & Esmaili, Q., 2014. "Analysis of PEM (Polymer Electrolyte Membrane) fuel cell cathode two-dimensional modeling," Energy, Elsevier, vol. 68(C), pages 478-494.
    14. Jinrong Yang & Yichun Wu & Xingyang Liu, 2023. "Proton Exchange Membrane Fuel Cell Power Prediction Based on Ridge Regression and Convolutional Neural Network Data-Driven Model," Sustainability, MDPI, vol. 15(14), pages 1-31, July.
    15. Saad S Khan & Hussain Shareef & Addy Wahyudie & SN Khalid & Reza Sirjani, 2019. "Influences of ambient conditions on the performance of proton exchange membrane fuel cell using various models," Energy & Environment, , vol. 30(6), pages 1087-1110, September.

    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:36:y:2011:i:12:p:3319-3331. 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.