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Thesis for degree: Licentiate of Engineering

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5 Conclusions<br />

The physics and the transport processes in SOFCs can be described at different length and<br />

time scales. This constitutes a challenge <strong>for</strong> the development <strong>of</strong> multiscale models <strong>for</strong> fuel<br />

cell simulations. In this study, a LBM microscale model was developed <strong>for</strong> the D2Q9 case<br />

(two-dimensional nine speed case). The kinetic model was examined so that no severe<br />

limiting effects on heat and mass transport occurred. Also, a FEM based model <strong>for</strong> an anodesupported<br />

SOFC was developed to better understand the internal re<strong>for</strong>ming reactions <strong>of</strong><br />

methane and the effects on the transport processes. The model was implemented in COMSOL<br />

Multiphysics <strong>for</strong> the analysis <strong>of</strong> three different kinetic models found in the literature. An<br />

equilibrium equation was employed <strong>for</strong> the water-gas shift re<strong>for</strong>ming reaction rate. Parameter<br />

studies were also conducted <strong>for</strong> the methane content and SF.<br />

Five conclusions can be made in this study. First, LBM was found to be a functional method<br />

to microscale modeling predicting the velocity pr<strong>of</strong>ile and mass diffusion well. LBM could<br />

handle both a simple geometry as a channel to a more complex geometry such as a porous<br />

media. For the velocity field, the LBM was able to illustrate the flow correctly around the<br />

obstacles. The mass diffusion <strong>for</strong> hydrogen was reduced from the inlet to the outlet as<br />

expected and contours were seen around the obstacles where mass diffusion <strong>of</strong> hydrogen<br />

occurred parallel to the surface. The detailed in<strong>for</strong>mation from LBM at microscale regarding<br />

the transport processes and chemical reactions can improve the macroscale model by<br />

including this in<strong>for</strong>mation <strong>for</strong> the TPB areas.<br />

Second, it was shown that the reaction rates were very fast and differed slightly across the<br />

three models due to the great differences <strong>of</strong> the pre-exponential value and the activation<br />

energy. The model was found to be sensitive to variation <strong>of</strong> the steam re<strong>for</strong>ming reaction rate.<br />

Both the inlet temperature and active surface area to volume ratio showed an effect on the<br />

reaction rates in terms <strong>of</strong> the maximum value.<br />

Third, it was found that a fuel containing a high percentage <strong>of</strong> methane in combination with a<br />

high inlet temperature produced a steep temperature gradient close to the cell inlet. Fourth, a<br />

higher steam-to-fuel ratio showed a decreased risk <strong>of</strong> carbon deposition at the anode catalytic<br />

active area.<br />

Finally, there was no direct significant risk <strong>for</strong> heat and mass transport limitations <strong>for</strong> the<br />

SOFC model with the kinetic parameters in this study. Care should be taken if the reaction<br />

rate is increased since this will affect almost every criterion in the analysis. It transpired not to<br />

be sufficient only to describe the reaction rates with a few empirical parameters. It was<br />

necessary to develop a suitable microscale model <strong>for</strong> the SOFC. However, the global kinetic<br />

models have still predicted valuable behaviors. The reason why the kinetics models differed<br />

to a large extent is that they were sensitive to how the experiment was designed.<br />

51

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