By Vinod Janardhanan

This e-book lays out a numerical framework for the specified description of heterogeneous chemistry, electrochemistry and porous media delivery in solid-oxide gas cells (SOFC). Assuming hydrogen because the basically electrochemically energetic species, a transformed Butler-Volmer equation is used to version the electrochemical cost move.

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Additional info for A detailed approach to model transport, heterogeneous chemistry, and electrochemistry in solid-oxide fuel cells

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Ceria has been proven as a good material to be used in SOFC anodes, particularly while operating on direct hydrocarbons [19, 17, 16]. There are numerous reports on the reforming kinetics of CH4 on Ni catalysts, however, only few deals with the reforming over the anode of a real SOFC. Timmerman et al. studied internal reforming of methane at Ni/YSZ and Ni/CGO SOFC cermet anodes [59]. al studied steam reforming kinetics on a real operating fuel cell [19]. When the partial Fuel cell catalysis 17 pressure of H2 was below 5 kPa, under open circuit conditions they observed decreasing rate for steam reforming, however, the rate was restorable by exposing the anode to H2 for a while.

84] require special attention. In their work, Zhu et al. derived a general mathematical model applicable to any multi component system, and the concentration losses are modeled using dusty gas model. However, the model requires more complex numerical calculations. Williford et al. have claimed in their study that the root of concentration loss stems from surface diffusional limitations at the three-base boundary, and therefore, they have included surface diffusional effects into their model. However, the model has the limitation of its applicability only to system consisting of H2 , H2 O, and O2 , and fails to account for all possible surface intermediates.

The DGM can be written as an implicit relationship among molar concentrations, fluxes, concentration gradients and pressure gradient as l k Bg [Xk ] [Xl ]Jk − [Xk ]Jl Jk + e = −∇[Xk ] − ∇p. 20) Eq. 20 can be inverted to develop a direct formulation of the diffusive molar flux vector Jk as [73]  Kg  Kg   DGM    Bg  D [X ] l kl  ∇p . 21) Jk = −  DDGM ∇[Xl ] +  kl e  µ  D l,kn l=1 l=1 The first term on the right hand side of Eq. 21 represents the diffusive flux and the second term represents the viscous flux.

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