IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i12p1972-d120593.html
   My bibliography  Save this article

Experimental and One-Dimensional Mathematical Modeling of Different Operating Parameters in Direct Formic Acid Fuel Cells

Author

Listed:
  • Shingjiang Jessie Lue

    (Department of Chemical and Materials Engineering and Green Technology Research Center, Chang Gung University, Guishan District, Taoyuan City 333, Taiwan
    Department of Radiation Oncology, Chang Gung Memorial Hospital, Guishan District, Taoyuan City 333, Taiwan
    Department of Safety, Health and Environment Engineering, Ming-Chi University of Technology, Taishan, New Taipei City 243, Taiwan)

  • Nai-Yuan Liu

    (Department of Chemical and Materials Engineering and Green Technology Research Center, Chang Gung University, Guishan District, Taoyuan City 333, Taiwan)

  • Selvaraj Rajesh Kumar

    (Department of Chemical and Materials Engineering and Green Technology Research Center, Chang Gung University, Guishan District, Taoyuan City 333, Taiwan)

  • Kevin Chi-Yang Tseng

    (Department of Chemical and Materials Engineering and Green Technology Research Center, Chang Gung University, Guishan District, Taoyuan City 333, Taiwan)

  • Bo-Yan Wang

    (Department of Chemical and Materials Engineering and Green Technology Research Center, Chang Gung University, Guishan District, Taoyuan City 333, Taiwan)

  • Chieh-Hsin Leung

    (Department of Chemical and Materials Engineering and Green Technology Research Center, Chang Gung University, Guishan District, Taoyuan City 333, Taiwan)

Abstract

The purpose of this work is to develop a one-dimensional mathematical model for predicting the cell performance of a direct formic acid fuel cell and compare this with experimental results. The predicted model can be applied to direct formic acid fuel cells operated with different formic acid concentrations, temperatures, and with various electrolytes. Tafel kinetics at the electrodes, thermodynamic equations for formic acid solutions, and the mass-transport parameters of the reactants are used to predict the effective diffusion coefficients of the reactants (oxygen and formic acid) in the porous gas diffusion layers and the associated limiting current densities to ensure the accuracy of the model. This model allows us to estimate fuel cell polarization curves for a wide range of operating conditions. Furthermore, the model is validated with experimental results from operating at 1–5 M of formic acid feed at 30–80 °C, and with Nafion-117 and silane-crosslinked sulfonated poly(styrene-ethylene/butylene-styrene) (sSEBS) membrane electrolytes reinforced in porous polytetrafluoroethylene (PTFE). The cell potential and power densities of experimental outcomes in direct formic acid fuel cells can be adequately predicted using the developed model.

Suggested Citation

  • Shingjiang Jessie Lue & Nai-Yuan Liu & Selvaraj Rajesh Kumar & Kevin Chi-Yang Tseng & Bo-Yan Wang & Chieh-Hsin Leung, 2017. "Experimental and One-Dimensional Mathematical Modeling of Different Operating Parameters in Direct Formic Acid Fuel Cells," Energies, MDPI, vol. 10(12), pages 1-14, November.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:1972-:d:120593
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/12/1972/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/12/1972/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Selvaraj Rajesh Kumar & Wei-Ting Ma & Hsin-Chun Lu & Li-Wei Teng & Hung-Chun Hsu & Chao-Ming Shih & Chun-Chen Yang & Shingjiang Jessie Lue, 2017. "Surfactant-Assisted Perovskite Nanofillers Incorporated in Quaternized Poly (Vinyl Alcohol) Composite Membrane as an Effective Hydroxide-Conducting Electrolyte," Energies, MDPI, vol. 10(5), pages 1-22, May.
    2. Das, Prodip K. & Li, Xianguo & Liu, Zhong-Sheng, 2010. "Effective transport coefficients in PEM fuel cell catalyst and gas diffusion layers: Beyond Bruggeman approximation," Applied Energy, Elsevier, vol. 87(9), pages 2785-2796, September.
    3. Jia-Shuin Lin & Wei-Ting Ma & Chao-Ming Shih & Bor-Chern Yu & Li-Wei Teng & Yi-Chun Wang & Kong-Wei Cheng & Fang-Chyou Chiu & Shingjiang Jessie Lue, 2016. "Reorientation of Magnetic Graphene Oxide Nanosheets in Crosslinked Quaternized Polyvinyl Alcohol as Effective Solid Electrolyte," Energies, MDPI, vol. 9(12), pages 1-13, November.
    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. Heng Zhang & Yang Yang & Tianyu Liu & Honglong Chang, 2018. "Boosting the Power-Generation Performance of Micro-Sized Al-H 2 O 2 Fuel Cells by Using Silver Nanowires as the Cathode," Energies, MDPI, vol. 11(9), pages 1-10, September.

    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. Yu, Bor-Chern & Wang, Yi-Chun & Lu, Hsin-Chun & Lin, Hsiu-Li & Shih, Chao-Ming & Kumar, S. Rajesh & Lue, Shingjiang Jessie, 2017. "Hydroxide-ion selective electrolytes based on a polybenzimidazole/graphene oxide composite membrane," Energy, Elsevier, vol. 134(C), pages 802-812.
    2. Selvaraj Rajesh Kumar & Wei-Ting Ma & Hsin-Chun Lu & Li-Wei Teng & Hung-Chun Hsu & Chao-Ming Shih & Chun-Chen Yang & Shingjiang Jessie Lue, 2017. "Surfactant-Assisted Perovskite Nanofillers Incorporated in Quaternized Poly (Vinyl Alcohol) Composite Membrane as an Effective Hydroxide-Conducting Electrolyte," Energies, MDPI, vol. 10(5), pages 1-22, May.
    3. Hwang, Jenn-Jiang, 2013. "Thermal control and performance assessment of a proton exchanger membrane fuel cell generator," Applied Energy, Elsevier, vol. 108(C), pages 184-193.
    4. Periklis Mountrichas & Wendi Zhao & Mehtab Singh Randeva & Prodip K. Das, 2023. "Entropy Generation of CuO-Water Nanofluid in a Cavity with an Intruded Rectangular Fin," Energies, MDPI, vol. 16(2), pages 1-15, January.
    5. Liu, Huize & Hu, Zunyan & Li, Jianqiu & Xu, Liangfei & Shao, Yangbin & Ouyang, Minggao, 2023. "Investigation on the optimal GDL thickness design for PEMFCs considering channel/rib geometry matching and operating conditions," Energy, Elsevier, vol. 282(C).
    6. Zhao, Jian & Shahgaldi, Samaneh & Alaefour, Ibrahim & Xu, Qian & Li, Xianguo, 2018. "Gas permeability of catalyzed electrodes in polymer electrolyte membrane fuel cells," Applied Energy, Elsevier, vol. 209(C), pages 203-210.
    7. Ashorynejad, Hamid Reza & Javaherdeh, Koroush, 2019. "Evaluation of passive and active lattice Boltzmann method for PEM fuel cell modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    8. Zhang, Hongtao & Li, Xianguo & Liu, Xinzhi & Yan, Jinyue, 2019. "Enhancing fuel cell durability for fuel cell plug-in hybrid electric vehicles through strategic power management," Applied Energy, Elsevier, vol. 241(C), pages 483-490.
    9. Yang, Yunfei & Ye, Niya & Chen, Shaoshuai & Zhang, Dengji & Wan, Ruiying & Peng, Xiaomeng & He, Ronghuan, 2020. "Surfactant-assisted incorporation of ZrO2 nanoparticles in quaternized poly(2,6-dimethyl-1,4-phenylene oxide) for superior properties of anion exchange membranes," Renewable Energy, Elsevier, vol. 166(C), pages 45-55.
    10. Namazi, Mohammadmehdi & Nayebi, Mohammadreza & Isazadeh, Amin & Modarresi, Ali & Marzbali, Iman Ghasemi & Hosseinalipour, Seyed Mostafa, 2022. "Experimental and numerical study of catalytic combustion and pore-scale numerical study of mass diffusion in high porosity fibrous porous media," Energy, Elsevier, vol. 238(PB).
    11. Aidan Robinson & Prodip K. Das, 2022. "Biomimetic and Constructal Design of Alveolus-Inspired Extended Surfaces for Heat Dispersion," Energies, MDPI, vol. 16(1), pages 1-16, December.
    12. Vasile, Nicolò S. & Doherty, Ronan & Monteverde Videla, Alessandro H.A. & Specchia, Stefania, 2016. "3D multi-physics modeling of a gas diffusion electrode for oxygen reduction reaction for electrochemical energy conversion in PEM fuel cells," Applied Energy, Elsevier, vol. 175(C), pages 435-450.
    13. Durán, E. & Andújar, J.M. & Segura, F. & Barragán, A.J., 2011. "A high-flexibility DC load for fuel cell and solar arrays power sources based on DC-DC converters," Applied Energy, Elsevier, vol. 88(5), pages 1690-1702, May.
    14. Xing, Lei & Das, Prodip K. & Song, Xueguan & Mamlouk, Mohamed & Scott, Keith, 2015. "Numerical analysis of the optimum membrane/ionomer water content of PEMFCs: The interaction of Nafion® ionomer content and cathode relative humidity," Applied Energy, Elsevier, vol. 138(C), pages 242-257.
    15. Ruzzante, Pascal & Li, Xianguo, 2023. "3D hybrid stochastic reconstruction of catalyst layers in proton exchange membrane fuel cells from 2D images," Energy, Elsevier, vol. 281(C).
    16. Jiao, Daokuan & Jiao, Kui & Zhong, Shenghui & Du, Qing, 2022. "Investigations on heat and mass transfer in gas diffusion layers of PEMFC with a gas–liquid-solid coupled model," Applied Energy, Elsevier, vol. 316(C).
    17. Ferreira, Rui B. & Falcão, D.S. & Oliveira, V.B. & Pinto, A.M.F.R., 2017. "1D+3D two-phase flow numerical model of a proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 203(C), pages 474-495.
    18. Andersson, M. & Beale, S.B. & Espinoza, M. & Wu, Z. & Lehnert, W., 2016. "A review of cell-scale multiphase flow modeling, including water management, in polymer electrolyte fuel cells," Applied Energy, Elsevier, vol. 180(C), pages 757-778.
    19. Zamel, Nada & Li, Xianguo & Shen, Jun, 2012. "Numerical estimation of the effective electrical conductivity in carbon paper diffusion media," Applied Energy, Elsevier, vol. 93(C), pages 39-44.
    20. Pan, Mingzhang & Li, Chao & Liao, Jinyang & Lei, Han & Pan, Chengjie & Meng, Xianpan & Huang, Haozhong, 2020. "Design and modeling of PEM fuel cell based on different flow fields," Energy, Elsevier, vol. 207(C).

    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:10:y:2017:i:12:p:1972-:d:120593. 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.