Experimental Scale Photocatalytic Oxidation SO2 from Simulated Flue Gas in the Presence of Mn/Copper Slag as a Novel Nanocatalyst: Optimizations by Hybrid Box-Behnken Experimental Design and Genetic Algorithm


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One of the most important air pollutants from simulated flue gas is sulfur dioxide (SO2). In this work, experimental scale photocatalytic oxidation of SO2 as a new method was suggested on the liquid phase using manganese supported on copper slag (Mn/CS) under ultraviolet (UV) irradiation. Mn/CS recognized as novel nanocatalyst for photocatalytic oxidation of SO2 from simulated flue gas. In this study, a column packed photocatalytic reactor (CPPCR) was applied. Firstly, the Mn/CS was perpetrated by impregnation method. Analysis of X-ray diffraction (XRD), field scanning electron microscopy (FESEM), energy dispersive X-ray (EDX) and FTIR, were used for detection structure, morphology, size of a particle of Mn/CS nanocatalyst. FESEM analysis revealed that the manganese nanoparticles were well incorporated into the copper slag as a base. Hybrid genetic algorithm (GA) and Box–Behnken design (BBD) was used for optimization of variables, such as gas flow rate, temperature, reaction time, and SO2 concentration. The most effective SO2 removal achieved at the operating conditions was about 99%. Analysis of the optimization of BBD combined with GA showed that the BBD method alone is also acceptable for optimizing the SO2 oxidation process in laboratory.

作者简介

F. Rabiee

Department of Chemistry, Arak Branch

Email: k-mahanpoor@iau-arak.ac.ir
伊朗伊斯兰共和国, Arak

K. Mahanpoor

Department of Chemistry, Arak Branch

编辑信件的主要联系方式.
Email: k-mahanpoor@iau-arak.ac.ir
伊朗伊斯兰共和国, Arak

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