Coupled Transport Effects in Solid Oxide Fuel Cell Modeling

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Gedik, A.; Lubos, N.; Kabelac, S.: Coupled Transport Effects in Solid Oxide Fuel Cell Modeling. In: Entropy : an international and interdisciplinary journal of entropy and information studies 24 (2022), Nr. 2, 224. DOI: https://doi.org/10.3390/e24020224

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/12963

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Sum total of downloads: 53




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Abstract: 
With its outstanding performance characteristics, the SOFC represents a promising technology for integration into the current energy supply system. For cell development and optimization, a reliable quantitative description of the transport mechanisms and the resulting losses are relevant. The local transport processes are calculated by a 1D model based on the non-equilibrium thermodynamics (NET). The focus of this study is the mass transport in the gas diffusion layers (GDL), which was described as simplified by Fick’s law in a previously developed model. This is first replaced by the Dusty-Gas model (DGM) and then by the thermal diffusion (Soret effect) approach. The validation of the model was performed by measuring U, j-characteristics resulting in a maximum deviation of experimental to simulated cell voltage to up to 0.93%. It is shown that, under the prevailing temperature, gradients the Soret effect can be neglected, but the extension to the DGM has to be considered. The temperature and heat flow curves illustrate the relevance of the Peltier effects. At T = 1123.15 K and j = 8000 A/m2, 64.44% of the total losses occur in the electrolyte. The exergetic efficiency for this operating point is 0.42. Since lower entropy production rates can be assumed in the GDL, the primary need is to investigate alternative electrolyte materials. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of Germany Germany 32 60.38%
2 image of flag of United States United States 11 20.75%
3 image of flag of China China 4 7.55%
4 image of flag of Austria Austria 2 3.77%
5 image of flag of Taiwan Taiwan 1 1.89%
6 image of flag of Israel Israel 1 1.89%
7 image of flag of Europe Europe 1 1.89%
8 image of flag of Spain Spain 1 1.89%

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