@ARTICLE{Ramakrishnan_P._A_2023,
 author={Ramakrishnan, P. and Sahoo, Abanti},
 volume={vol. 44},
 number={No 1},
 journal={Chemical and Process Engineering: New Frontiers},
 pages={e4},
 howpublished={online},
 year={2023},
 publisher={Polish Academy of Sciences Committee of Chemical and Process Engineering},
 abstract={The mathematical approach to SOFC modelling helps to reduce dependence on the experimental approach. In the current study, six different diffusion mass transfer models were compared to more accurately predict the process behavior of fuel and product diffusion for SOFC anode. The prediction accuracy of the models was extensively studied over a range of parameters. New models were included as compared to previous studies. The Knudsen diffusion phenomenon was considered in all the models. The stoichiometric flux ratio approach was used. All the models were validated against experimental data for a binary (CO-CO2) and a ternary fuel system (H2-15 H2O-Ar). For ternary system, the pressure gradient is important for pore radius below 0.6 μm and current density above 0.5 A/cm2. For binary system, the pressure gradient may be ignored. The analysis indicates that the MBFM is identified to be the best performing and versatile model under critical SOFC operating conditions such as fuel composition and cell temperature. The diffusive slip phenomenon included in MBFM is useful in SOFC operating conditions when fuel contains heavy molecules. The DGMFM is a good approximation of DGM for the binary system.},
 type={Article},
 title={A study on mass transfer modelling in SOFC anode: Comparison of diffusion mass transfer models for estimation of diffusion overpotential},
 URL={http://czasopisma.pan.pl/Content/126876/PDF/e4_10.24425_cpe.2022.142293.pdf},
 doi={10.24425/cpe.2022.142293},
 keywords={solid oxide fuel cell, Knudsen diffusion, diffusion overpotential, pressure gradient, tortuosity factor},
}