4th International Conference on Frontiers in Academic Research, Konya, Türkiye, 13 - 14 Aralık 2024, ss.298-302, (Tam Metin Bildiri)
Increasing energy demand and the need for more efficient energy conversion technologies have
increased the interest in solid oxide fuel cells (SOFCs), which generate electricity at high efficiency by
electrochemical oxidation of gaseous fuels. In this study, the effects of operating parameters such as cell
temperature, hydrogen flow rate, oxygen flow rate, and nitrogen flow rate on the power density of SOFCs
are investigated using statistical analysis methods. The experimental data were analyzed using analysis of
variance (ANOVA), main effect plots, and multiple regression techniques in Minitab software. ANOVA
results showed that hydrogen flow rate is the most effective parameter on power density with a contribution
of 43.30%. This was followed by nitrogen flow rate with 23.34% and cell temperature with 19.88% and the
effects of these parameters were statistically significant (p < 0.05). However, the effect of oxygen flow rate
was limited; contributing only 2.65% and was not statistically significant. The regression analysis yielded
a highly accurate model with an R-squared value of 99.46%, indicating that the model explained most of
the variation in power density. Hydrogen flow rate and cell temperature were found to play a critical role
in optimizing SOFCs performance. This study provides a powerful framework for understanding the impact
of operational parameters of SOFC on power density.