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Improving fuel cell performance via optimal parameters identification through fuzzy logic based-modeling and optimization

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  • Tanveer, Waqas Hassan
  • Rezk, Hegazy
  • Nassef, Ahmed
  • Abdelkareem, Mohammad Ali
  • Kolosz, Ben
  • Karuppasamy, K.
  • Aslam, Jawad
  • Gilani, Syed Omer

Abstract

Improving the performance of solid oxide fuel cell via maximizing its available peak power density is a key requirement of research in the field of renewable energy. This could be achieved through identifying the optimal controlling parameters such as, the deposition instrument power (P), the temperature (T), and the electrolyte thickness (Thick). Nickel–Gadolinium Doped Ceria cermet anode films are deposited on one side of the Zirconia electrolyte by radio frequency sputtering. The sputtering plasma power is varied at 50, 100, 150, and 200 W. Lanthanum Strontium Manganite cathodes were screen-printed on the other side of the electrolyte supports to complete the configuration. Cells were electrochemically tested at various intermediate solid oxide fuel cell temperatures of 600, 700 and 800 °C using different electrolyte thicknesses. The cell’s current density, I (A/cm2) and voltage (V) and hence the power density (W/cm2) are recorded in each case. Based on the obtained experimental results, a fuzzy model is built using different control parameters. Then, the particle swarm optimization technique is used for obtaining the best parameters of the cell that maximizes its power density. The results show that by utilizing the optimized conditions, the power density can be increased to 0.39 (W/cm2), which is almost two times higher than the maximum power density obtained experimentally.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:204:y:2020:i:c:s0360544220310835
    DOI: 10.1016/j.energy.2020.117976
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    1. Papurello, Davide & Lanzini, Andrea & Drago, Davide & Leone, Pierluigi & Santarelli, Massimo, 2016. "Limiting factors for planar solid oxide fuel cells under different trace compound concentrations," Energy, Elsevier, vol. 95(C), pages 67-78.
    2. Jiao, Yong & Zhang, Liqin & An, Wenting & Zhou, Wei & Sha, Yujing & Shao, Zongping & Bai, Jianping & Li, Si-Dian, 2016. "Controlled deposition and utilization of carbon on Ni-YSZ anodes of SOFCs operating on dry methane," Energy, Elsevier, vol. 113(C), pages 432-443.
    3. Shri Prakash, B. & Senthil Kumar, S. & Aruna, S.T., 2014. "Properties and development of Ni/YSZ as an anode material in solid oxide fuel cell: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 149-179.
    4. Rezk, Hegazy & AL-Oran, Mazen & Gomaa, Mohamed R. & Tolba, Mohamed A. & Fathy, Ahmed & Abdelkareem, Mohammad Ali & Olabi, A.G. & El-Sayed, Abou Hashema M., 2019. "A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    5. Abdelkareem, Mohammad Ali & Tanveer, Waqas Hassan & Sayed, Enas Taha & Assad, M. El Haj & Allagui, Anis & Cha, S.W., 2019. "On the technical challenges affecting the performance of direct internal reforming biogas solid oxide fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 361-375.
    6. Damo, U.M. & Ferrari, M.L. & Turan, A. & Massardo, A.F., 2019. "Solid oxide fuel cell hybrid system: A detailed review of an environmentally clean and efficient source of energy," Energy, Elsevier, vol. 168(C), pages 235-246.
    7. 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).
    8. Papurello, Davide & Lanzini, Andrea & Tognana, Lorenzo & Silvestri, Silvia & Santarelli, Massimo, 2015. "Waste to energy: Exploitation of biogas from organic waste in a 500 Wel solid oxide fuel cell (SOFC) stack," Energy, Elsevier, vol. 85(C), pages 145-158.
    9. 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.
    10. Lee, Yeageun & Park, Joonho & Yu, Wonjong & Tanveer, Waqas Hassan & Lee, Yoon Ho & Cho, Gu Young & Park, Taehyun & Zheng, Chunhua & Lee, Wonyoung & Cha, Suk Won, 2018. "Nickel-based bilayer thin-film anodes for low-temperature solid oxide fuel cells," Energy, Elsevier, vol. 161(C), pages 1133-1138.
    11. Mohamed, Mohamed A. & Zaki Diab, Ahmed A. & Rezk, Hegazy, 2019. "Partial shading mitigation of PV systems via different meta-heuristic techniques," Renewable Energy, Elsevier, vol. 130(C), pages 1159-1175.
    12. Mehran, Muhammad Taqi & Lim, Tak-Hyoung & Lee, Seung-Bok & Lee, Jong-Won & Park, Seok-Ju & Song, Rak-Hyun, 2016. "Long-term performance degradation study of solid oxide carbon fuel cells integrated with a steam gasifier," Energy, Elsevier, vol. 113(C), pages 1051-1061.
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    2. 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).
    3. 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).
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    7. 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).
    8. 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.
    9. Wang, Jian & Xu, Yi-Peng & She, Chen & Xu, Ping & Bagal, Hamid Asadi, 2022. "Optimal parameter identification of SOFC model using modified gray wolf optimization algorithm," Energy, Elsevier, vol. 240(C).
    10. Olabi, A.G. & Wilberforce, Tabbi & Abdelkareem, Mohammad Ali, 2021. "Fuel cell application in the automotive industry and future perspective," Energy, Elsevier, vol. 214(C).
    11. 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.
    12. 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).
    13. A. G. Olabi & Tabbi Wilberforce & Khaled Elsaid & Tareq Salameh & Enas Taha Sayed & Khaled Saleh Husain & Mohammad Ali Abdelkareem, 2021. "Selection Guidelines for Wind Energy Technologies," Energies, MDPI, vol. 14(11), pages 1-34, June.
    14. Wang, Erlei & Xia, Jiangying & Li, Jia & Sun, Xianke & Li, Hao, 2022. "Parameters exploration of SOFC for dynamic simulation using adaptive chaotic grey wolf optimization algorithm," Energy, Elsevier, vol. 261(PA).
    15. Rezk, Hegazy & Inayat, Abrar & Abdelkareem, Mohammad A. & Olabi, Abdul G. & Nassef, Ahmed M., 2022. "Optimal operating parameter determination based on fuzzy logic modeling and marine predators algorithm approaches to improve the methane production via biomass gasification," Energy, Elsevier, vol. 239(PB).
    16. Hasanien, Hany M. & Shaheen, Mohamed A.M. & Turky, Rania A. & Qais, Mohammed H. & Alghuwainem, Saad & Kamel, Salah & Tostado-Véliz, Marcos & Jurado, Francisco, 2022. "Precise modeling of PEM fuel cell using a novel Enhanced Transient Search Optimization algorithm," Energy, Elsevier, vol. 247(C).
    17. Hesham Alhumade & Hegazy Rezk & Abdulrahim A. Al-Zahrani & Sharif F. Zaman & Ahmed Askalany, 2021. "Artificial Intelligence Based Modelling of Adsorption Water Desalination System," Mathematics, MDPI, vol. 9(14), pages 1-13, July.

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