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Recent approach based heterogeneous comprehensive learning Archimedes optimization algorithm for identifying the optimal parameters of different fuel cells

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  • Fathy, Ahmed
  • Babu, Thanikanti Sudhakar
  • Abdelkareem, Mohammad Ali
  • Rezk, Hegazy
  • Yousri, Dalia

Abstract

A consistent and precise mathematical modeling play a vital role in the performance analysis of fuel cells (FCs) system. Model's efficiency completely depends on design accuracy. Thereby the modeling and estimation of FCs' parameters attracted numerous researchers. In this article, new innovative algorithms named heterogeneous comprehensive learning Archimedes optimization algorithm (HCLAOA) for effective modeling of proton exchange membrane fuel cell (PEMFC) and solid oxide fuel cell (SOFC) is proposed. To assess the performance of the proposed algorithm, two ratings of PEMFC stacks such as PEMFC 250 W and 500 W (NedStack PS6, BCS 500W, and SR-12PEM 500W) are considered and evaluated under different levels of pressures and temperatures. Further, in case of SOFC, steady-state and dynamic-state models are considered. The steady-state SOFC model is investigated with four different levels of temperatures, and the dynamic SOFC model is evaluated with the subject of change in demand power. To verify the consistency and effectiveness of HCLAOA algorithm, extensive statistical analysis and various evaluation criteria are thoroughly performed and are successfully compared with the state of the art algorithms like Harris hawks optimizer, Atom search optimizer, Salp swarm optimization algorithm. In addition, a non-parametric test for all considered cases is performed. From the carried-out analysis, the obtained results, and the observations, it is derived that the proposed HCLAOA approach is the most suitable for modeling both PEMFC and SOFC.

Suggested Citation

  • Fathy, Ahmed & Babu, Thanikanti Sudhakar & Abdelkareem, Mohammad Ali & Rezk, Hegazy & Yousri, Dalia, 2022. "Recent approach based heterogeneous comprehensive learning Archimedes optimization algorithm for identifying the optimal parameters of different fuel cells," Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:energy:v:248:y:2022:i:c:s036054422200490x
    DOI: 10.1016/j.energy.2022.123587
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    References listed on IDEAS

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    1. Nassef, Ahmed M. & Fathy, Ahmed & Sayed, Enas Taha & Abdelkareem, Mohammad Ali & Rezk, Hegazy & Tanveer, Waqas Hassan & Olabi, A.G., 2019. "Maximizing SOFC performance through optimal parameters identification by modern optimization algorithms," Renewable Energy, Elsevier, vol. 138(C), pages 458-464.
    2. Fathy, Ahmed & Rezk, Hegazy & Mohamed Ramadan, Haitham Saad, 2020. "Recent moth-flame optimizer for enhanced solid oxide fuel cell output power via optimal parameters extraction process," Energy, Elsevier, vol. 207(C).
    3. Olabi, A.G. & Abdelkareem, Mohammad Ali, 2022. "Renewable energy and climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    4. Fathy, Ahmed & Yousri, Dalia & Alanazi, Turki & Rezk, Hegazy, 2021. "Minimum hydrogen consumption based control strategy of fuel cell/PV/battery/supercapacitor hybrid system using recent approach based parasitism-predation algorithm," Energy, Elsevier, vol. 225(C).
    5. Zhang, Xiuqin & Guo, Juncheng & Chen, Jincan, 2010. "The parametric optimum analysis of a proton exchange membrane (PEM) fuel cell and its load matching," Energy, Elsevier, vol. 35(12), pages 5294-5299.
    6. Rezk, Hegazy & Aly, Mokhtar & Fathy, Ahmed, 2021. "A novel strategy based on recent equilibrium optimizer to enhance the performance of PEM fuel cell system through optimized fuzzy logic MPPT," Energy, Elsevier, vol. 234(C).
    7. Chakraborty, Uday K. & Abbott, Travis E. & Das, Sajal K., 2012. "PEM fuel cell modeling using differential evolution," Energy, Elsevier, vol. 40(1), pages 387-399.
    8. Ashrafi, Moosa & Kanani, Homayoon & Shams, Mehrzad, 2018. "Numerical and experimental study of two-phase flow uniformity in channels of parallel PEM fuel cells with modified Z-type flow-fields," Energy, Elsevier, vol. 147(C), pages 317-328.
    9. Wang, Nan & Wang, Dongxuan & Xing, Yazhou & Shao, Limin & Afzal, Sadegh, 2020. "Application of co-evolution RNA genetic algorithm for obtaining optimal parameters of SOFC model," Renewable Energy, Elsevier, vol. 150(C), pages 221-233.
    10. 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.
    11. Miao, Di & Chen, Wei & Zhao, Wei & Demsas, Tekle, 2020. "Parameter estimation of PEM fuel cells employing the hybrid grey wolf optimization method," Energy, Elsevier, vol. 193(C).
    12. Fathy, Ahmed & Elaziz, Mohamed Abd & Alharbi, Abdullah G., 2020. "A novel approach based on hybrid vortex search algorithm and differential evolution for identifying the optimal parameters of PEM fuel cell," Renewable Energy, Elsevier, vol. 146(C), pages 1833-1845.
    13. Tanveer, Waqas Hassan & Rezk, Hegazy & Nassef, Ahmed & Abdelkareem, Mohammad Ali & Kolosz, Ben & Karuppasamy, K. & Aslam, Jawad & Gilani, Syed Omer, 2020. "Improving fuel cell performance via optimal parameters identification through fuzzy logic based-modeling and optimization," Energy, Elsevier, vol. 204(C).
    14. A.G. Olabi & Tabbi Wilberforce & Enas Taha Sayed & Khaled Elsaid & Mohammad Ali Abdelkareem, 2020. "Prospects of Fuel Cell Combined Heat and Power Systems," Energies, MDPI, vol. 13(16), pages 1-20, August.
    15. Wei, Ya & Stanford, Russell J., 2019. "Parameter identification of solid oxide fuel cell by Chaotic Binary Shark Smell Optimization method," Energy, Elsevier, vol. 188(C).
    16. Meidanshahi, Vida & Karimi, Gholamreza, 2012. "Dynamic modeling, optimization and control of power density in a PEM fuel cell," Applied Energy, Elsevier, vol. 93(C), pages 98-105.
    17. El-Fergany, Attia A., 2018. "Extracting optimal parameters of PEM fuel cells using Salp Swarm Optimizer," Renewable Energy, Elsevier, vol. 119(C), pages 641-648.
    18. Fathy, Ahmed & Rezk, Hegazy, 2022. "Political optimizer based approach for estimating SOFC optimal parameters for static and dynamic models," Energy, Elsevier, vol. 238(PC).
    19. Zhang, Zhien & Pan, Shu-Yuan & Li, Hao & Cai, Jianchao & Olabi, Abdul Ghani & Anthony, Edward John & Manovic, Vasilije, 2020. "Recent advances in carbon dioxide utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    20. Fathy, Ahmed & Rezk, Hegazy, 2018. "Multi-verse optimizer for identifying the optimal parameters of PEMFC model," Energy, Elsevier, vol. 143(C), pages 634-644.
    21. Rezk, Hegazy & Sayed, Enas Taha & Al-Dhaifallah, Mujahed & Obaid, M. & El-Sayed, Abou Hashema M. & Abdelkareem, Mohammad Ali & Olabi, A.G., 2019. "Fuel cell as an effective energy storage in reverse osmosis desalination plant powered by photovoltaic system," Energy, Elsevier, vol. 175(C), pages 423-433.
    22. Olabi, A.G. & Wilberforce, Tabbi & Abdelkareem, Mohammad Ali, 2021. "Fuel cell application in the automotive industry and future perspective," Energy, Elsevier, vol. 214(C).
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    Cited by:

    1. Wilberforce, Tabbi & Rezk, Hegazy & Olabi, A.G. & Epelle, Emmanuel I. & Abdelkareem, Mohammad Ali, 2023. "Comparative analysis on parametric estimation of a PEM fuel cell using metaheuristics algorithms," Energy, Elsevier, vol. 262(PB).
    2. Ahmed Fathy & Abdulmohsen Alanazi, 2023. "An Efficient White Shark Optimizer for Enhancing the Performance of Proton Exchange Membrane Fuel Cells," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
    3. Hegazy Rezk & Tabbi Wilberforce & A. G. Olabi & Rania M. Ghoniem & Enas Taha Sayed & Mohammad Ali Abdelkareem, 2023. "Optimal Parameter Identification of a PEM Fuel Cell Using Recent Optimization Algorithms," Energies, MDPI, vol. 16(14), pages 1-20, July.
    4. Fathy, Ahmed & Rezk, Hegazy & Alharbi, Abdullah G. & Yousri, Dalia, 2023. "Proton exchange membrane fuel cell model parameters identification using Chaotically based-bonobo optimizer," Energy, Elsevier, vol. 268(C).
    5. Rezk, Hegazy & Olabi, A.G. & Ferahtia, Seydali & Sayed, Enas Taha, 2022. "Accurate parameter estimation methodology applied to model proton exchange membrane fuel cell," Energy, Elsevier, vol. 255(C).

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