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

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  • 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
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    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.
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    Cited by:

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    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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).

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