响应曲面法优化H_(2)O_(2)催化氧化烟气脱硝工艺

Optimization of H_(2)O_(2)catalytic oxidation process for flue gas denitrification by response surface methodology

研究了H_2O_2催化氧化烟气脱硝工艺中H_2O_2质量分数、催化剂浓度和溶液p H对脱硝率的影响,采用BoxBehnken响应曲面法优化了H_2O_2脱硝的工艺条件,得到了相应的数学模型,并进行了方差分析。结果表明,溶液p H、催化剂浓度、H_2O_2质量分数以及催化剂浓度和H_2O_2质量分数的一级交互作用对脱硝率的影响很显著,模型的决定系数为0.995 3,说明模型拟合效果很好。经模型优化分析的最优工艺条件为H_2O_2质量分数0.2%,催化剂浓度0.94 mmol/L,溶液pH 11.0,在此条件下处理进口流量3.5 L/min、NO体积分数2×10^(-4)、O_2体积分数10%、N_2体积分数90%的烟气,液气比为8 L/m^3,脱硝率达97%。

The effects of H2O2 mass fraction,catalyst concentration and solution pH on H2O2 catalytic oxidation for flue gas denitrification were studied. The Box-Behnken response surface methodology was utilized for modeling and optimizing the conditions,and the variance analysis was carried out. The results showed that solution pH,catalyst concentration,H2O2 mass fraction and the first level interaction between catalyst concentration and H2O2 mass fraction had significant effects on denitrification rate. The determination coefficient of the model was 0.995 3,which indicated that the model fitted well. The optimum process conditions by model analysis were as follows：H2O2 mass fraction 0.2%,catalyst concentration 0.94 mmol/L and solution pH 11.0. When the flue gas with 3.5 L/min of inlet flow,2×10-4 of NO volume fraction,10% of O2 volume fraction and 90% of N2 volume fraction was treated under these conditions and 8 L/m3 of liquid-gas ratio,the denitrification rate could reach 97%.