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Emerging technologies in prognostics for fuel cells including direct hydrocarbon fuel cells

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  • Ong, Samuel
  • Al-Othman, Amani
  • Tawalbeh, Muhammad

Abstract

Fuel cells have been regarded as promising power sources for cleaner energy production. Despite their high theoretical efficiency, fuel cells are still challenged with their durability issues that hinder their full commercialization. Recent work on fuel cells' prognostics provided multiple opportunities for predicting and monitoring the fuel cells' durability. Prognostic studies evaluate, predict and model complex fuel cell systems. This field witnessed an increase in application, accuracy, and depth recently. The application of several prognostic studies to predict the failure modes helped to improve the efficiency and estimate the remaining useful life (RUL) of the complex fuel cell system. This paper discusses the most recent prognostic and health monitoring studies of fuel cells systems that use hydrogen or hydrocarbon fuels. It suggests that prognostics are promising approaches toward evaluating the fuel cell system's useful life. The paper also provides an overview of the most recent developments in the types of the applied prognostic models. It appears that the main challenge is the development of online prognostic methods for the dynamic fuel cell systems. This work concludes that a proper prediction/monitoring approach requires the application of more than one prognostic method.

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  • Ong, Samuel & Al-Othman, Amani & Tawalbeh, Muhammad, 2023. "Emerging technologies in prognostics for fuel cells including direct hydrocarbon fuel cells," Energy, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:energy:v:277:y:2023:i:c:s0360544223011155
    DOI: 10.1016/j.energy.2023.127721
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    as
    1. Benaggoune, Khaled & Yue, Meiling & Jemei, Samir & Zerhouni, Noureddine, 2022. "A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 313(C).
    2. Wu, Horng-Wen, 2016. "A review of recent development: Transport and performance modeling of PEM fuel cells," Applied Energy, Elsevier, vol. 165(C), pages 81-106.
    3. Choudhury, Arnab & Chandra, H. & Arora, A., 2013. "Application of solid oxide fuel cell technology for power generation—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 430-442.
    4. 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.
    5. An, L. & Zhao, T.S. & Li, Y.S., 2015. "Carbon-neutral sustainable energy technology: Direct ethanol fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1462-1468.
    6. Bhim Sen Thapa & Soumya Pandit & Sanchita Bipin Patwardhan & Sakshi Tripathi & Abhilasha Singh Mathuriya & Piyush Kumar Gupta & Ram Bharosay Lal & Tanmoy Roy Tusher, 2022. "Application of Microbial Fuel Cell (MFC) for Pharmaceutical Wastewater Treatment: An Overview and Future Perspectives," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    7. Yue, Meiling & Jemei, Samir & Zerhouni, Noureddine & Gouriveau, Rafael, 2021. "Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives," Renewable Energy, Elsevier, vol. 179(C), pages 2277-2294.
    8. An, Dawn & Choi, Joo-Ho & Kim, Nam Ho, 2013. "Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 161-169.
    9. Li, Zheng & He, Qijiao & Wang, Chen & Yu, Na & Bello, Idris Temitope & Guo, Meiting & Ni, Meng, 2023. "Protonic ceramic fuel cells for power-ethylene cogeneration: A modelling study on structural parameters," Energy, Elsevier, vol. 264(C).
    10. Chutichai, Bhawasut & Authayanun, Suthida & Assabumrungrat, Suttichai & Arpornwichanop, Amornchai, 2013. "Performance analysis of an integrated biomass gasification and PEMFC (proton exchange membrane fuel cell) system: Hydrogen and power generation," Energy, Elsevier, vol. 55(C), pages 98-106.
    11. Zhao, Qin & Zhang, Houcheng & Hu, Ziyang & Li, Yangyang, 2021. "An alkaline fuel cell/direct contact membrane distillation hybrid system for cogenerating electricity and freshwater," Energy, Elsevier, vol. 225(C).
    12. Pierobon, Leonardo & Rokni, Masoud & Larsen, Ulrik & Haglind, Fredrik, 2013. "Thermodynamic analysis of an integrated gasification solid oxide fuel cell plant combined with an organic Rankine cycle," Renewable Energy, Elsevier, vol. 60(C), pages 226-234.
    13. Ryu, Sung Kwan & Vinothkannan, Mohanraj & Kim, Ae Rhan & Yoo, Dong Jin, 2022. "Effect of type and stoichiometry of fuels on performance of polybenzimidazole-based proton exchange membrane fuel cells operating at the temperature range of 120–160 °C," Energy, Elsevier, vol. 238(PB).
    14. Changhee Song & Sanghoon Lee & Bonhyun Gu & Ikwhang Chang & Gu Young Cho & Jong Dae Baek & Suk Won Cha, 2020. "A Study of Anode-Supported Solid Oxide Fuel Cell Modeling and Optimization Using Neural Network and Multi-Armed Bandit Algorithm," Energies, MDPI, vol. 13(7), pages 1-11, April.
    15. Tawalbeh, Muhammad & Al-Othman, Amani & Ka'ki, Ahmad & Farooq, Afifa & Alkasrawi, Malek, 2022. "Lignin/zirconium phosphate/ionic liquids-based proton conducting membranes for high-temperature PEM fuel cells applications," Energy, Elsevier, vol. 260(C).
    16. Falcão, D.S. & Oliveira, V.B. & Rangel, C.M. & Pinto, A.M.F.R., 2014. "Review on micro-direct methanol fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 58-70.
    17. Li, Zhongliang & Outbib, Rachid & Giurgea, Stefan & Hissel, Daniel & Giraud, Alain & Couderc, Pascal, 2019. "Fault diagnosis for fuel cell systems: A data-driven approach using high-precise voltage sensors," Renewable Energy, Elsevier, vol. 135(C), pages 1435-1444.
    18. Arun, S. & Sinharoy, Arindam & Pakshirajan, Kannan & Lens, Piet N.L., 2020. "Algae based microbial fuel cells for wastewater treatment and recovery of value-added products," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    19. Nauman Javed, Rana Muhammad & Al-Othman, Amani & Tawalbeh, Muhammad & Olabi, Abdul Ghani, 2022. "Recent developments in graphene and graphene oxide materials for polymer electrolyte membrane fuel cells applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    20. Badwal, S.P.S. & Giddey, S. & Kulkarni, A. & Goel, J. & Basu, S., 2015. "Direct ethanol fuel cells for transport and stationary applications – A comprehensive review," Applied Energy, Elsevier, vol. 145(C), pages 80-103.
    21. Zhou, Daming & Gao, Fei & Breaz, Elena & Ravey, Alexandre & Miraoui, Abdellatif, 2017. "Degradation prediction of PEM fuel cell using a moving window based hybrid prognostic approach," Energy, Elsevier, vol. 138(C), pages 1175-1186.
    22. Kwok L. Tsui & Nan Chen & Qiang Zhou & Yizhen Hai & Wenbin Wang, 2015. "Prognostics and Health Management: A Review on Data Driven Approaches," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-17, May.
    23. Wee, Jung-Ho, 2014. "Carbon dioxide emission reduction using molten carbonate fuel cell systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 178-191.
    24. Nitisoravut, Rachnarin & Regmi, Roshan, 2017. "Plant microbial fuel cells: A promising biosystems engineering," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 81-89.
    25. Fathy, Ahmed & Ferahtia, Seydali & Rezk, Hegazy & Yousri, Dalia & Abdelkareem, Mohammad Ali & Olabi, A.G., 2022. "Optimal adaptive fuzzy management strategy for fuel cell-based DC microgrid," Energy, Elsevier, vol. 247(C).
    26. Chang, Wanhyuk & Kang, Eun Heui & Jeong, Heon Jun & Choi, Wonjoon & Shim, Joon Hyung, 2023. "Inkjet printing of perovskite ceramics for high-performance proton ceramic fuel cells," Energy, Elsevier, vol. 268(C).
    27. Juan Carlos Ruiz-Morales & Jesús Canales-Vázquez & Cristian Savaniu & David Marrero-López & Wuzong Zhou & John T. S. Irvine, 2006. "Disruption of extended defects in solid oxide fuel cell anodes for methane oxidation," Nature, Nature, vol. 439(7076), pages 568-571, February.
    28. 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).
    29. Tang, Xiaolin & Zhou, Haitao & Wang, Feng & Wang, Weida & Lin, Xianke, 2022. "Longevity-conscious energy management strategy of fuel cell hybrid electric Vehicle Based on deep reinforcement learning," Energy, Elsevier, vol. 238(PA).
    30. Wilberforce, Tabbi & Abdelkareem, Mohammad Ali & Elsaid, Khaled & Olabi, A.G. & Sayed, Enas Taha, 2022. "Role of carbon-based nanomaterials in improving the performance of microbial fuel cells," Energy, Elsevier, vol. 240(C).
    31. 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.
    32. Pei, Pucheng & Chen, Huicui, 2014. "Main factors affecting the lifetime of Proton Exchange Membrane fuel cells in vehicle applications: A review," Applied Energy, Elsevier, vol. 125(C), pages 60-75.
    33. Lucia, Umberto, 2014. "Overview on fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 164-169.
    34. Tianxiang Wang & Hongliang Zhou & Chengwei Zhu, 2022. "A Short-Term and Long-Term Prognostic Method for PEM Fuel Cells Based on Gaussian Process Regression," Energies, MDPI, vol. 15(13), pages 1-17, July.
    35. Tawalbeh, Muhammad & Al-Othman, Amani & Singh, Karnail & Douba, Ikram & Kabakebji, Dania & Alkasrawi, Malek, 2020. "Microbial desalination cells for water purification and power generation: A critical review," Energy, Elsevier, vol. 209(C).
    36. Olabi, A.G. & Wilberforce, Tabbi & Abdelkareem, Mohammad Ali, 2021. "Fuel cell application in the automotive industry and future perspective," Energy, Elsevier, vol. 214(C).
    37. Rezk, Hegazy & Ferahtia, Seydali & Djeroui, Ali & Chouder, Aissa & Houari, Azeddine & Machmoum, Mohamed & Abdelkareem, Mohammad Ali, 2022. "Optimal parameter estimation strategy of PEM fuel cell using gradient-based optimizer," Energy, Elsevier, vol. 239(PC).
    38. Jiao, Kui & Zhou, Yibo & Du, Qing & Yin, Yan & Yu, Shuhai & Li, Xianguo, 2013. "Numerical simulations of carbon monoxide poisoning in high temperature proton exchange membrane fuel cells with various flow channel designs," Applied Energy, Elsevier, vol. 104(C), pages 21-41.
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