Modeling and optimization of NH ۳ -SCR performance of MnO x / γ-alumina nanocatalysts by response surface methodology

چکیده مقاله

To model and optimize the NH3-SCR performance of MnO x / γ-alumina nanocatalysts, the response surface methodology (RSM) based on a central composite design (CCD) was employed. The MnO x / γ- alumina nanocatalysts were prepared by homogeneous deposition precipitation and characterized by XRD, H2-TPR, N2 adsorption and TEM. The effect of process variables, including Mn loading, calcination temperature, concentration of O 2 , NH 3 /NO ratio and reaction temperature on NO x conversion and N 2 selectivity was studied. Analysis of variance confirmed the accuracy and precision of generating quadratic models. The calcination temperature and reaction temperature had the most pronounced effects on NO x conversion and N 2 selectivity, respectively. The maximum NH3-SCR performance (94.6% NO x conversion and 93.7% N 2 selectivity) was predicted and experimentally validated at the optimum conditions: Mn loading 6.7 wt. %, calcination temperature 507.5 °C, concentration of O 2 4.5 (vol. %), NH3/NO ratio 0.94 and reaction temperature 269.8 °C.