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NUMERICAL STUDY OF EFFECT OF HEAT AND MASS TRANSFER ON SOLID OXIDE FUEL CELL PERFORMANCE

DOI: 10.1615/ICHMT.2008.CHT.1400
20 pages

H. Mahcene
Laboratory of Renewable Energy Ouargla University- ALGERIA

H. Ben Moussa
Département de mécanique, faculté des sciences de l'ingénieur, Université Batna- ALGERIA

H. Bouguettaia
Laboratory of Renewable Energy Ouargla University- ALGERIA

D. Bechki
Laboratory of Renewable Energy Ouargla University- ALGERIA

要約

A one dimensional model for solid oxide fuel cells (SOFC) was developed, considering all the phenomena occurring in each component of the fuel cell. In this study, a co-flow dimensional simulation program for planar type SOFC was made considering mass, charge and heat balances along the flow directions. The equations are implemented in FORTRAN language, in order to obtain temperature and species distributions along the fuel cell. Numerical results from this simulation under operating conditions show that the temperature increases along the anode and that is mainly due to two reasons: heat generated by chemical reactions and Ohmic effects, in the cell. The effects of various parameters (porosity, tortuosity, flow rates and cell geometries) on species profiles were also studied. The rate consumption of hydrogen and oxygen increases with the porosity. The results also indicate that the slow diffusion of hydrogen in liquid water is a liming factor in SOFC performances. Also hydrogen concentration increases with decrease in tortuosity in the anode diffusion layer. For important uniform current densities, the molar fraction of water increases (3−18.5 %), whereas that of the hydrogen decreases (97−78.5 %) and the oxygen (21−20.7 %). The flow rate and width of the channels have also an effect on hydrogen quantity in the output of the channels, results shown, that the power density is inversely proportional to the flow rate. The validated model shows good agreement with literature data. This enables the model to predict heat and mass transfer in the cell. It is anticipated that this model could be used to help develop efficient fuel cell designs and set operating variables under practical conditions. Cell performance is found depending on the temperature, hydrogen and oxygen distributions.

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