The structural parameters such as the flow channel structure and electrode thickness of solid oxide electrolysis cells have a significant impact on their performance.An artificial neural network prediction model of current density and temperature difference was established based on the three-dimensional computational fluid dynamics model of SOEC,and the influence laws of structural parameters on the electrochemical performance and temperature field of SOEC were investigated.The results show that the ANN surrogate model has high accuracy and low computational cost.The uniformity of temperature distribution is negatively correlated with electrolysis performance.Reducing the pitch,rib width,and electrode thickness will result in a decrease in ohmic losses and an increase in current density.The impact of cathode rib width relative to anode rib width on current density is more significant,leading to different effects on temperature difference between the two.When the anode thickness is less than 40 μm,a decrease in anode thickness leads to a sharp decrease in the reactive area and a consequent decrease in current density.Within the specified parameter range,when the pitch is 1.8 mm,the electrolyte thickness is 8 μm,the anode rib width is 0.6 mm,the cathode rib width is 1.2 mm,and the cathode thickness is 600 μm,the temperature difference is minimized while maintaining a current density greater than 3 700 A/m2.This study is of great guiding significance for the structural design and optimization of SOEC.
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