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Analysis of the novel dynamic semiempirical model of proton exchange membrane fuel cell by incorporating ambient condition variations

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Abstract

Proton exchange membrane fuel cell PEMFC is nonlinear source so modeling its output is essential. Also PEMFC is extremely prone to change in ambient conditions. Previously the complex modeling techniques have been used to model PEMFC voltage, but these technique are not good for online purposes. Hence a semiempirical approach has been suggested for PEMFC voltage prediction which uses the combination of theoretical and empirical equations. But most of the semiempirical models have lot of deficiencies which need to be corrected with the help of experimentation of different PEMFC systems at different conditions. In this research paper, a novel semiempirical model has been chosen which is less complex, dynamic and has the ability to diagnose fault as well. The model is only tested on two PEMFC stacks but never tested on single PEMFC. In this research, the model has been tested on single-cell PEMFC system and the parameters are optimized by using lightening search algorithm. The temperature and voltage model have been validated, and the new optimized parameters are recorded for different ambient conditions. The model discrepancies have been identified, and the new equations for parameters have been proposed which can be helpful in the making of generic model.

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References

  1. Khan, S. S., Rafiq, M. A., Shareef, H., Sultan, M. K.: ”Parameter optimization of PEMFC model using backtracking search algorithm. In: 2018 5th International Conference on Renewable Energy: Generation and Applications (ICREGA), Al Ain, United Arab Emirates, 2018, pp. 323–326, https://doi.org/10.1109/ICREGA.2018.8337625.

  2. Giner-Sanz, J.J., Ortega, E.M., Pérez-Herranz, V.: Mechanistic equivalent circuit modelling of a commercial polymer electrolyte membrane fuel cell. J. Power Sour., Volume 379, 2018, Pages 328–337, ISSN 0378-7753

  3. Akimoto, Yutaro, Suzuki, Shin-nosuke.: Overpotential evaluation of PEMFC using semi-empirical equation and SEM. In: E3S Web of Conferences, 67, 01015 (2018) (3rd i-TREC 2018)

  4. Petrone, R., Zheng, Z., Hissel, D., Péra, M.C., Pianese, C., Sorrentino, M., Becherif, M., Yousfi-Steiner, N.: A review on model-based diagnosis methodologies for PEMFCs. Int. J. Hydrog. Energy 38(17), 7077–7091 (2013)

    Article  Google Scholar 

  5. Khan, S.S., Shareef, H., Khan, I.A., Bhattacharjee, V., Sultan, K.W.: ”Effect of ambient conditions on water management and faults in PEMFC systems: A Review. In: IEEE Canadian Conference of Electrical and Computer Engineering (CCECE). Edmonton, AB, Canada 2019, pp. 1–5 (2019). https://doi.org/10.1109/CCECE.2019.8861579

  6. Labach, I., Rallières, O., Turpin, C.: Steady-state Semi-empirical Model of a Single Proton Exchange Membrane Fuel Cell (PEMFC) at Varying Operating Conditions. Fuel Cells 17(2), 166–177 (2017)

    Article  Google Scholar 

  7. Moreira, M.V., da Silva, G.E.: A practical model for evaluating the performance of proton exchange membrane fuel cells. Renew. Energy 34(7), 1734–1741 (2009)

    Article  Google Scholar 

  8. El-fergany, A.A., Hasanien, H.M., Agwa, A.M.: Semi-empirical PEM fuel cells model using whale optimization algorithm. Energy Convers. Manag. 201(July), 112–197 (2019)

    Google Scholar 

  9. Agwa, Ahmed M., El-Fergany, Attia A., Sarhan, Gamal M.: ’ ’Steady-State Modeling of Fuel Cells Based on Atom Search Optimizer. Energies 12(10), 1884 (2019). https://doi.org/10.3390/en12101884

    Article  Google Scholar 

  10. Chakraborty, Uday K.: Proton exchange membrane fuel cell stack design optimization using an improved jaya algorithm. Energies 12(16), 3176 (2019). https://doi.org/10.3390/en12163176

    Article  Google Scholar 

  11. Menon, R. R., Kumar, V., Pandey, J. K.: Realisation of Optimal Parameters of PEM Fuel Cell Using Simple Genetic Algorithm (SGA) and Simulink Modeling. Int. J. Eng. Adv. Technol. (IJEAT), 8(6), 1542–1548 (2019)

    Article  Google Scholar 

  12. Han, W., Li, D., Yu, D., Ebrahimian, H.: Environmental Effects Optimal parameters of PEM fuel cells using chaotic binary shark smell optimizer, Energy Sources. Part A Recover. Util. Environ. Eff. 00(00), 1–15 (2019)

    Google Scholar 

  13. Kandidayeni, M., Macias, A., Khalatbarisoltani, A., Boulon, L., Kelouwani, S.: Benchmark of proton exchange membrane fuel cell parameters extraction with metaheuristic optimization algorithms. Energy 183, 912–925 (2019)

    Article  Google Scholar 

  14. Amphlett, J.C.: Performance Modeling of the Ballard Mark IV Solid Polymer Electrolyte Fuel Cell. J. Electrochem. Soc. 142(1), 1 (1995)

    Article  Google Scholar 

  15. Wishart, J., Dong, Z., Secanell, M.: Optimization of a PEM fuel cell system based on empirical data and a generalized electrochemical semi-empirical model. J. Power Sources 161(2), 1041–1055 (2006)

    Article  Google Scholar 

  16. Larminie, J., Dicks, A.: Fuel Cell Systems Explained. J. Power Sources 93,(2001)

  17. Al-Zeyoudi, H., Sasmito, A.P., Shamim, T.: Performance evaluation of an open-cathode PEM fuel cell stack under ambient conditions: case study of United Arab Emirates. Energy Convers. Manag. 105, 798–809 (2015)

    Article  Google Scholar 

  18. Khan, S. S., Shareef, H., Wahyudie, A., Khalid, S., Sirjani, R.: Influences of ambient conditions on the performance of proton exchange membrane fuel cell using various models. Energy Environ. 30(6), 1087–1110 (2018)

    Article  Google Scholar 

  19. Khan, S.S., Shareef, H., Bouhaddioui, C., Errouissi, R.: Membrane-hydration-state detection in proton exchange membrane fuel cells using improved ambient-condition-based dynamic model. Int. J. Energy Res. 44, 869–889 (2020). https://doi.org/10.1002/er.4927

    Article  Google Scholar 

  20. Khan, S.S., Shareef, H., Wahyudie, A., Khalid, S.N.: Novel dynamic semiempirical proton exchange membrane fuel cell model incorporating component voltages. Int. J. Energy Res. 42, 2615–2630 (2018). https://doi.org/10.1002/er.4038

    Article  Google Scholar 

  21. Shareef, H., Ibrahim, A.A., Mutlag, A.H.: Lightning search algorithm. Appl. Soft Comput. J. 36, 315–333 (2015)

    Article  Google Scholar 

  22. Khan, Saad S., Shareef, Hussain, Mutlag, Ammar Hussein: Dynamic temperature model for proton exchange membrane fuel cell using online variations in load current and ambient temperature. Int. J. Green Energy 16(5), 361–370 (2019). https://doi.org/10.1080/15435075.2018.1564141

    Article  Google Scholar 

  23. Menesy, A.S., Sultan, H.M., Selim, A., Ashmawy, M.G., Kamel, S.: Developing and Applying Chaotic Harris Hawks Optimization Technique for Extracting Parameters of Several Proton Exchange Membrane Fuel Cell Stacks. IEEE Access 8(December), 1146–1159 (2019)

    Google Scholar 

  24. Maher, A.R.: Sadiq Al-Baghdadi, Modelling of proton exchange membrane fuel cell performance based on semi-empirical equations. Renew. Energy 30(10), 1587–1599 (2005)

    Article  Google Scholar 

  25. Khan, S.S., Shareef, H., Kandidayeni, M., Boulon, L., Amine, A., Abdennebi, E.H.: Dynamic Semiempirical PEMFC Model for Prognostics and Fault Diagnosis. IEEE Access 9, 10217–10227 (2021). https://doi.org/10.1109/ACCESS.2021.3049528

    Article  Google Scholar 

  26. Desideri, U., Lazaroiu, G., Zaninelli, D., Lazaroiu, C.: ”A Matlab-Simulink Analysis of Hybrid SOFC Dynamic Behavior. In: Proceedings of the ASME 3rd International Conference on Fuel Cell Science, Engineering and Technology. Ypsilanti, Michigan, USA. May 23-25, pp. 245–251.2005

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Correspondence to Amine Abbou.

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The corresponding author states that there is no conflict of interest. The author would like to thank the editor and is deeply grateful to the reviewers.

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Abbou, A., El Hasnaoui, A., Khan, S.S. et al. Analysis of the novel dynamic semiempirical model of proton exchange membrane fuel cell by incorporating ambient condition variations. Int J Energy Environ Eng 13, 105–120 (2022). https://doi.org/10.1007/s40095-021-00410-3

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