IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v277y2023ics0360544223011155.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223011155
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.127721?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. Lucia, Umberto, 2014. "Overview on fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 164-169.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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).
    14. 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).
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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).
    20. 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.
    21. 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.
    22. 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).
    23. 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.
    24. 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).
    25. 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.
    26. 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.
    27. 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).
    28. 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).
    29. 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).
    30. 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.
    31. 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).
    32. 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).
    33. Olabi, A.G. & Wilberforce, Tabbi & Abdelkareem, Mohammad Ali, 2021. "Fuel cell application in the automotive industry and future perspective," Energy, Elsevier, vol. 214(C).
    34. 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.
    35. 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.
    36. 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).
    37. 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.
    38. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lei, Gang & Zheng, Hualin & Zhang, Jun & Siong Chin, Cheng & Xu, Xinhai & Zhou, Weijiang & Zhang, Caizhi, 2023. "Analyzing characteristic and modeling of high-temperature proton exchange membrane fuel cells with CO poisoning effect," Energy, Elsevier, vol. 282(C).
    2. Fu, Quanrong & Tian, Chunyu & Hun, Lianming & Wang, Xin & Li, Zhiyi & Liu, Zhijun & Wei, Wei, 2024. "Ni agglomeration and performance degradation of solid oxide fuel cell: A model-based quantitative study and microstructure optimization," Energy, Elsevier, vol. 289(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Yang & Yu, Xiaoran & Zhu, Wenchao & Xie, Changjun & Zhao, Bo & Zhang, Leiqi & Shi, Ying & Huang, Liang & Zhang, Ruiming, 2023. "Degradation prediction of proton exchange membrane fuel cells with model uncertainty quantification," Renewable Energy, Elsevier, vol. 219(P2).
    2. He, Wenbin & Liu, Ting & Ming, Wuyi & Li, Zongze & Du, Jinguang & Li, Xiaoke & Guo, Xudong & Sun, Peiyan, 2024. "Progress in prediction of remaining useful life of hydrogen fuel cells based on deep learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    3. Pei, Pucheng & Meng, Yining & Chen, Dongfang & Ren, Peng & Wang, Mingkai & Wang, Xizhong, 2023. "Lifetime prediction method of proton exchange membrane fuel cells based on current degradation law," Energy, Elsevier, vol. 265(C).
    4. Chen, Dongfang & Pei, Pucheng & Meng, Yining & Ren, Peng & Li, Yuehua & Wang, Mingkai & Wang, Xizhong, 2022. "Novel extraction method of working condition spectrum for the lifetime prediction and energy management strategy evaluation of automotive fuel cells," Energy, Elsevier, vol. 255(C).
    5. Fathy, Ahmed & Rezk, Hegazy, 2022. "Political optimizer based approach for estimating SOFC optimal parameters for static and dynamic models," Energy, Elsevier, vol. 238(PC).
    6. Pei, Pucheng & Chen, Dongfang & Wu, Ziyao & Ren, Peng, 2019. "Nonlinear methods for evaluating and online predicting the lifetime of fuel cells," Applied Energy, Elsevier, vol. 254(C).
    7. Chen, Kui & Laghrouche, Salah & Djerdir, Abdesslem, 2019. "Degradation model of proton exchange membrane fuel cell based on a novel hybrid method," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    8. 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).
    9. Song, Ke & Huang, Xing & Huang, Pengyu & Sun, Hui & Chen, Yuhui & Huang, Dongya, 2024. "Data-driven health state estimation and remaining useful life prediction of fuel cells," Renewable Energy, Elsevier, vol. 227(C).
    10. Zhang, Xiaojie & Zhang, Tong & Chen, Huicui & Cao, Yinliang, 2021. "A review of online electrochemical diagnostic methods of on-board proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 286(C).
    11. Aihua Tang & Yuanhang Yang & Quanqing Yu & Zhigang Zhang & Lin Yang, 2022. "A Review of Life Prediction Methods for PEMFCs in Electric Vehicles," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    12. 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).
    13. Huu-Linh Nguyen & Sang-Min Lee & Sangseok Yu, 2023. "A Comprehensive Review of Degradation Prediction Methods for an Automotive Proton Exchange Membrane Fuel Cell," Energies, MDPI, vol. 16(12), pages 1-32, June.
    14. Mezzi, Rania & Yousfi-Steiner, Nadia & Péra, Marie Cécile & Hissel, Daniel & Larger, Laurent, 2021. "An Echo State Network for fuel cell lifetime prediction under a dynamic micro-cogeneration load profile," Applied Energy, Elsevier, vol. 283(C).
    15. 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.
    16. Deng, Zhihua & Chan, Siew Hwa & Chen, Qihong & Liu, Hao & Zhang, Liyan & Zhou, Keliang & Tong, Sirui & Fu, Zhichao, 2023. "Efficient degradation prediction of PEMFCs using ELM-AE based on fuzzy extension broad learning system," Applied Energy, Elsevier, vol. 331(C).
    17. Samuel Simon Araya & Fan Zhou & Simon Lennart Sahlin & Sobi Thomas & Christian Jeppesen & Søren Knudsen Kær, 2019. "Fault Characterization of a Proton Exchange Membrane Fuel Cell Stack," Energies, MDPI, vol. 12(1), pages 1-17, January.
    18. Lei, Libin & Mo, Yingyu & Huang, Yue & Qiu, Ruiming & Tian, Zhipeng & Wang, Junyao & Liu, Jianping & Chen, Ying & Zhang, Jihao & Tao, Zetian & Liang, Bo & Wang, Chao, 2023. "Revealing and quantifying the role of oxygen-ionic current in proton-conducting solid oxide fuel cells: A modeling study," Energy, Elsevier, vol. 276(C).
    19. Xuexia Zhang & Zixuan Yu & Weirong Chen, 2019. "Life Prediction Based on D-S ELM for PEMFC," Energies, MDPI, vol. 12(19), pages 1-15, September.
    20. Chen, Kui & Badji, Abderrezak & Laghrouche, Salah & Djerdir, Abdesslem, 2022. "Polymer electrolyte membrane fuel cells degradation prediction using multi-kernel relevance vector regression and whale optimization algorithm," Applied Energy, Elsevier, vol. 318(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:277:y:2023:i:c:s0360544223011155. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.