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Predictive system-level modeling framework for transient operation and cathode platinum degradation of high temperature proton exchange membrane fuel cells☆

Author

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  • Kregar, Ambrož
  • Tavčar, Gregor
  • Kravos, Andraž
  • Katrašnik, Tomaž

Abstract

High temperature proton exchange membrane fuel cells (HT-PEMFCs) are a promising and emerging technology, which enable highly efficient, low-emission, small-scale electricity and heat generation. The simultaneous reduction in production costs and prolongation of service life are considered as major challenges toward their wider market adoption, which calls for the application of predictive virtual tools during their development process. To present significant progress in the addressed area, this paper introduces an innovative real-time capable system-level modeling framework based on the following: (a) a mechanistic spatially and temporally resolved model of HT-PEMFC operation, and (b) a degradation modeling framework based on interacting individual cathode platinum degradation mechanisms. Additional innovative contributions arise from a consistent consideration of the varying particle size distribution in the transient fuel cell operating regime. The degradation modeling framework interactively considers the carbon and platinum oxidation phenomena, and platinum dissolution, redeposition, detachment, and agglomeration; hence, covering the entire causal chain of these phenomena. Presented results confirm capability of the modeling framework to accurately simulate the platinum particle size redistribution. Results clearly indicate more pronounced platinum particle growth towards the end of the channel since humidity is the main precursor of oxidation reactions. In addition, innovative modeling framework elucidate contributions of agglomeration, which is more pronounced at voltage cycling, and Ostwald ripening, which is more pronounced at higher voltages, to the platinum particles growth. These functionalities position the proposed modeling framework as a beyond state-of-the-art tool for model-supported development of the advanced clean energy conversion technologies.

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  • Kregar, Ambrož & Tavčar, Gregor & Kravos, Andraž & Katrašnik, Tomaž, 2020. "Predictive system-level modeling framework for transient operation and cathode platinum degradation of high temperature proton exchange membrane fuel cells☆," Applied Energy, Elsevier, vol. 263(C).
    • Handle: RePEc:eee:appene:v:263:y:2020:i:c:s0306261920300593
    DOI: 10.1016/j.apenergy.2020.114547
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    References listed on IDEAS

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    1. Ma, Rui & Yang, Tao & Breaz, Elena & Li, Zhongliang & Briois, Pascal & Gao, Fei, 2018. "Data-driven proton exchange membrane fuel cell degradation predication through deep learning method," Applied Energy, Elsevier, vol. 231(C), pages 102-115.
    2. Najafi, Behzad & Haghighat Mamaghani, Alireza & Rinaldi, Fabio & Casalegno, Andrea, 2015. "Long-term performance analysis of an HT-PEM fuel cell based micro-CHP system: Operational strategies," Applied Energy, Elsevier, vol. 147(C), pages 582-592.
    3. Haghighat Mamaghani, Alireza & Najafi, Behzad & Casalegno, Andrea & Rinaldi, Fabio, 2017. "Predictive modelling and adaptive long-term performance optimization of an HT-PEM fuel cell based micro combined heat and power (CHP) plant," Applied Energy, Elsevier, vol. 192(C), pages 519-529.
    4. Chen, Huicui & Pei, Pucheng & Song, Mancun, 2015. "Lifetime prediction and the economic lifetime of Proton Exchange Membrane fuel cells," Applied Energy, Elsevier, vol. 142(C), pages 154-163.
    5. Alan Cruz Rojas & Guadalupe Lopez Lopez & J. F. Gomez-Aguilar & Victor M. Alvarado & Cinda Luz Sandoval Torres, 2017. "Control of the Air Supply Subsystem in a PEMFC with Balance of Plant Simulation," Sustainability, MDPI, vol. 9(1), pages 1-23, January.
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    Cited by:

    1. Desantes, J.M. & Novella, R. & Pla, B. & Lopez-Juarez, M., 2022. "A modeling framework for predicting the effect of the operating conditions and component sizing on fuel cell degradation and performance for automotive applications," Applied Energy, Elsevier, vol. 317(C).
    2. Ahmed Mohmed Dafalla & Lin Wei & Bereket Tsegai Habte & Jian Guo & Fangming Jiang, 2022. "Membrane Electrode Assembly Degradation Modeling of Proton Exchange Membrane Fuel Cells: A Review," Energies, MDPI, vol. 15(23), pages 1-26, December.
    3. Andraž Kravos & Ambrož Kregar & Kurt Mayer & Viktor Hacker & Tomaž Katrašnik, 2021. "Identifiability Analysis of Degradation Model Parameters from Transient CO 2 Release in Low-Temperature PEM Fuel Cell under Various AST Protocols," Energies, MDPI, vol. 14(14), pages 1-16, July.
    4. Ambrož Kregar & Philipp Frühwirt & Daniel Ritzberger & Stefan Jakubek & Tomaž Katrašnik & Georg Gescheidt, 2020. "Sensitivity Based Order Reduction of a Chemical Membrane Degradation Model for Low-Temperature Proton Exchange Membrane Fuel Cells," Energies, MDPI, vol. 13(21), pages 1-15, October.

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