IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v138y2017icp437-445.html
   My bibliography  Save this article

Modeling and performance evaluation of PEM fuel cell by controlling its input parameters

Author

Listed:
  • Chavan, Sudarshan L.
  • Talange, Dhananjay B.

Abstract

Fuel cell technology is one of the most promising, emissions free, energy conversion technology under renewable energy systems because of its wide ability in most of the commercial applications like electrical vehicles, building cogeneration and standby power supply. Mathematical models are trusted as important tools for designing and performance analysis of fuel cell based systems. Many mathematical models based on thermal, electrochemical and electrical steady states as well as dynamic have been reported in literature to evaluate performance of Proton Exchange Membrane (PEM) fuel cell, but all these models are complex and needs huge amount of data for modeling and performance testing. The present paper proposes simple, but more realistic MATLAB SIMULINK model for PEM fuel cell to evaluate its performance under different operating conditions. The performance of the proposed model is compared with single practical, 25 cm2 active area, PEM fuel cell for model validation. The presented model is also valid for a stack having any number of cells.

Suggested Citation

  • Chavan, Sudarshan L. & Talange, Dhananjay B., 2017. "Modeling and performance evaluation of PEM fuel cell by controlling its input parameters," Energy, Elsevier, vol. 138(C), pages 437-445.
    • Handle: RePEc:eee:energy:v:138:y:2017:i:c:p:437-445
    DOI: 10.1016/j.energy.2017.07.070
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421731246X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.07.070?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. Idoia San Martín & Alfredo Ursúa & Pablo Sanchis, 2014. "Modelling of PEM Fuel Cell Performance: Steady-State and Dynamic Experimental Validation," Energies, MDPI, vol. 7(2), pages 1-31, February.
    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. Mohammed, Hanin & Al-Othman, Amani & Nancarrow, Paul & Tawalbeh, Muhammad & El Haj Assad, Mamdouh, 2019. "Direct hydrocarbon fuel cells: A promising technology for improving energy efficiency," Energy, Elsevier, vol. 172(C), pages 207-219.
    2. Atyabi, Seyed Ali & Afshari, Ebrahim & Wongwises, Somchai & Yan, Wen-Mon & Hadjadj, Abdellah & Shadloo, Mostafa Safdari, 2019. "Effects of assembly pressure on PEM fuel cell performance by taking into accounts electrical and thermal contact resistances," Energy, Elsevier, vol. 179(C), pages 490-501.
    3. Ibrahim Alsaidan & Mohamed A. M. Shaheen & Hany M. Hasanien & Muhannad Alaraj & Abrar S. Alnafisah, 2021. "Proton Exchange Membrane Fuel Cells Modeling Using Chaos Game Optimization Technique," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    4. Indro Biswas & Daniel G. Sánchez & Mathias Schulze & Jens Mitzel & Benjamin Kimmel & Aldo Saul Gago & Pawel Gazdzicki & K. Andreas Friedrich, 2020. "Advancement of Segmented Cell Technology in Low Temperature Hydrogen Technologies," Energies, MDPI, vol. 13(9), pages 1-22, May.
    5. Zou, Wei & Froning, Dieter & Shi, Yan & Lehnert, Werner, 2020. "A least-squares support vector machine method for modeling transient voltage in polymer electrolyte fuel cells," Applied Energy, Elsevier, vol. 271(C).
    6. Abel Rubio & Wilton Agila & Leandro González & Jonathan Aviles-Cedeno, 2023. "Distributed Intelligence in Autonomous PEM Fuel Cell Control," Energies, MDPI, vol. 16(12), pages 1-25, June.
    7. Zili Wang & Guodong Yi & Shaoju Zhang, 2021. "An Improved Fuzzy PID Control Method Considering Hydrogen Fuel Cell Voltage-Output Characteristics for a Hydrogen Vehicle Power System," Energies, MDPI, vol. 14(19), pages 1-18, September.
    8. Jongbin Woo & Younghyeon Kim & Sangseok Yu, 2023. "Cooling-System Configurations of a Dual-Stack Fuel-Cell System for Medium-Duty Trucks," Energies, MDPI, vol. 16(5), pages 1-19, February.
    9. Abdollahipour, Armin & Sayyaadi, Hoseyn, 2022. "Optimal design of a hybrid power generation system based on integrating PEM fuel cell and PEM electrolyzer as a moderator for micro-renewable energy systems," Energy, Elsevier, vol. 260(C).
    10. Zhao, Jian & Ozden, Adnan & Shahgaldi, Samaneh & Alaefour, Ibrahim E. & Li, Xianguo & Hamdullahpur, Feridun, 2018. "Effect of Pt loading and catalyst type on the pore structure of porous electrodes in polymer electrolyte membrane (PEM) fuel cells," Energy, Elsevier, vol. 150(C), pages 69-76.
    11. Li, Tianyu & Liu, Huiying & Ding, Daolin, 2018. "Predictive energy management of fuel cell supercapacitor hybrid construction equipment," Energy, Elsevier, vol. 149(C), pages 718-729.
    12. El-Hay, E.A. & El-Hameed, M.A. & El-Fergany, A.A., 2019. "Optimized Parameters of SOFC for steady state and transient simulations using interior search algorithm," Energy, Elsevier, vol. 166(C), pages 451-461.
    13. Kandidayeni, M. & Macias, A. & Khalatbarisoltani, A. & Boulon, L. & Kelouwani, S., 2019. "Benchmark of proton exchange membrane fuel cell parameters extraction with metaheuristic optimization algorithms," Energy, Elsevier, vol. 183(C), pages 912-925.
    14. Abdollahipour, Armin & Sayyaadi, Hoseyn, 2022. "A novel electrochemical refrigeration system based on the combined proton exchange membrane fuel cell-electrolyzer," Applied Energy, Elsevier, vol. 316(C).
    15. 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.
    16. Apostolou, Dimitrios, 2020. "Optimisation of a hydrogen production – storage – re-powering system participating in electricity and transportation markets. A case study for Denmark," Applied Energy, Elsevier, vol. 265(C).
    17. Wu, Ziyao & Pei, Pucheng & Xu, Huachi & Jia, Xiaoning & Ren, Peng & Wang, Bozheng, 2019. "Study on the effect of membrane electrode assembly parameters on polymer electrolyte membrane fuel cell performance by galvanostatic charging method," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    18. El-Hay, Enas A. & El-Hameed, Mohamed A. & El-Fergany, Attia A., 2018. "Performance enhancement of autonomous system comprising proton exchange membrane fuel cells and switched reluctance motor," Energy, Elsevier, vol. 163(C), pages 699-711.

    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. Macias, A. & Kandidayeni, M. & Boulon, L. & Trovão, J.P., 2021. "Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain," Energy, Elsevier, vol. 224(C).
    2. Devin Fowler & Vladimir Gurau & Daniel Cox, 2019. "Bridging the Gap between Automated Manufacturing of Fuel Cell Components and Robotic Assembly of Fuel Cell Stacks," Energies, MDPI, vol. 12(19), pages 1-14, September.
    3. Xuqu Hu & Xingyi Wang & Juanzhong Chen & Qinwen Yang & Dapeng Jin & Xiang Qiu, 2017. "Numerical Investigations of the Combined Effects of Flow Rate and Methanol Concentration on DMFC Performance," Energies, MDPI, vol. 10(8), pages 1-15, July.
    4. Geonhui Gwak & Minwoo Kim & Dohwan Kim & Muhammad Faizan & Kyeongmin Oh & Jaeseung Lee & Jaeyoo Choi & Nammin Lee & Kisung Lim & Hyunchul Ju, 2019. "Performance and Efficiency Analysis of an HT-PEMFC System with an Absorption Chiller for Tri-Generation Applications," Energies, MDPI, vol. 12(5), pages 1-21, March.
    5. Jonas Breitinger & Mark Hellmann & Helerson Kemmer & Stephan Kabelac, 2023. "Automotive Fuel Cell Systems: Testing Highly Dynamic Scenarios," Energies, MDPI, vol. 16(2), pages 1-15, January.
    6. Andrzej Wilk & Daniel Węcel, 2020. "Measurements Based Analysis of the Proton Exchange Membrane Fuel Cell Operation in Transient State and Power of Own Needs," Energies, MDPI, vol. 13(2), pages 1-19, January.
    7. Jonny Esteban Villa Londono & Andrea Mazza & Enrico Pons & Harm Lok & Ettore Bompard, 2021. "Modelling and Control of a Grid-Connected RES-Hydrogen Hybrid Microgrid," Energies, MDPI, vol. 14(6), pages 1-25, March.
    8. Sutharssan, Thamo & Montalvao, Diogo & Chen, Yong Kang & Wang, Wen-Chung & Pisac, Claudia & Elemara, Hakim, 2017. "A review on prognostics and health monitoring of proton exchange membrane fuel cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 440-450.
    9. San Martín, Idoia & Berrueta, Alberto & Sanchis, Pablo & Ursúa, Alfredo, 2018. "Methodology for sizing stand-alone hybrid systems: A case study of a traffic control system," Energy, Elsevier, vol. 153(C), pages 870-881.
    10. Umap, Vrushali M. & Ugwekar, Rajendra P., 2020. "Performance analysis of gas diffusion electrode with varying platinum loading under different oxidant condition," Renewable Energy, Elsevier, vol. 155(C), pages 1339-1346.
    11. Ahmed M. Agwa & Attia A. El-Fergany & Gamal M. Sarhan, 2019. "Steady-State Modeling of Fuel Cells Based on Atom Search Optimizer," Energies, MDPI, vol. 12(10), pages 1-14, May.
    12. Asensio, F.J. & San Martín, J.I. & Zamora, I. & Saldaña, G. & Oñederra, O., 2019. "Analysis of electrochemical and thermal models and modeling techniques for polymer electrolyte membrane fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    13. Yasser Diab & Francois Auger & Emmanuel Schaeffer & Stéphane Chevalier & Adib Allahham, 2022. "Real-Time Estimation of PEMFC Parameters Using a Continuous-Discrete Extended Kalman Filter Derived from a Pseudo Two-Dimensional Model," Energies, MDPI, vol. 15(7), pages 1-23, March.
    14. Apostolou, Dimitrios, 2020. "Optimisation of a hydrogen production – storage – re-powering system participating in electricity and transportation markets. A case study for Denmark," Applied Energy, Elsevier, vol. 265(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:eee:energy:v:138:y:2017:i:c:p:437-445. 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/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.