ABSTRACT Response Surface Methodology (RSM) simplifies fuel cell design and offers possibilities for process improvement, operating condition optimisation, and performance improvements. By identify the best design parameters, RSM helps create fuel cell systems that are dependable, economical, and efficient. Although RSM is widely applied in many domains, more studies are still needed evaluating photocatalytic fuel cell performance in dye removal and optimising the conditions of reactions. Using RSM (central composite design), the system's ability to remove Methyl Orange (MO) and produce energy was enhanced in this study. TiO2/Ti and CuO/Cu are employed in this system as the photoelectrodes. Effective optimised parameters on contaminant removal and energy production, including dye concentration, electrolyte concentration, and pH, were achieved as 23.31 mg/L, 0.1 M, and pH = 3, respectively. 71.26% MO dye was removed, and 0.63 V, 0.19 mA/cm2, and 0.037 mW/cm2 values were recorded for the open-circuit voltage (VOC), short-circuit current (JSC), and maximum power density (PMAX), respectively, under optimal conditions, which was very close to the experimental values. The analysis of variances for dye removal and VOC, JSC, PMAX, correlation coefficient, and adjusted correlation coefficient for the four mentioned responses indicated a strong correlation between the predicted and experimental data, confirming the model's accuracy.
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