研究目的
To predict the agglomerate diameter formed by nano-sized Titania powders in emulsion region of annular fluidization bed photocatalytic reactor (AFBPR) and to describe the relationship between agglomerate diameter distribution and photocatalytic reactivity.
研究成果
The kinetic model developed can predict the agglomerate diameter formed by nano-sized Titania powders in emulsion region of AFBPR. The agglomerate diameter is a function of bed voidage and gas velocity. The model is feasible for photocatalytic oxidation of various gaseous pollutants.
研究不足
The study relies on assumptions such as the agglomerate being a spherical particle with a mean diameter and the change of agglomerate surface adhesion being ignored at low RH and low concentrations of gas pollutant.
1:Experimental Design and Method Selection
A kinetic model was developed based on an assumption of a target molecule only reacts on the active site of an agglomerate in illumination field. The model considers bed voidage and photocatalytic oxidation kinetic.
2:Sample Selection and Data Sources
Nano-sized Titania (P25) was used as the catalyst. The gas streams containing target compounds (benzene, cyclohexane, NO, and SO2) were used as fluidized media.
3:List of Experimental Equipment and Materials
Annular fluidized bed photocatalytic reactor (AFBPR), ultraviolet lamp (25 W, maximum emission intensity at 253.7 nm), optical fiber probe (model PV-6M), gas chromatograph (GC-FID, Clarus-500), Chemiluminescence NO analyzer (Model 42c), Pulsed Fluorescence SO2 analyzer (Model 43b).
4:Experimental Procedures and Operational Workflow
The photocatalytic oxidation experiments were performed at fixed RH 20%. The gas streams were adjusted by a gas blender and the desired gas velocity was controlled by a float-type flowmeter. The concentrations of target compounds were measured using respective analyzers.
5:Data Analysis Methods
The photocatalytic reaction was simplified as a pseudo-first-order surface reaction. The apparent first-order photocatalytic oxidation rate constants were obtained based on the linear fitting of plots.
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