OPTIMIZATION OF ELECTROCHEMICAL OXIDATION FOR TREATING CHLOROBENZENE WASTE GAS BY RESPONSE SURFACE METHODOLOGY
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摘要: 氯苯类化合物作为一类挥发性有机氯废气,具有疏水性、挥发性和生物毒性,难以从环境中去除。构建了电化学氧化体系,研究了单因素对氯苯废气的处理效果,利用响应面法研究了电流密度、极板间距和电解质浓度与废气去除率之间的关系,通过Design-Expert 10.0.1软件处理数据,优化反应条件。单因素实验结果表明:选用Ti/Ti4O7为阳极,不锈钢网为阴极,0.15 mol/L NaCl为电解质,电流密度为10.0 mA/cm2,极板间距为4.0 cm,处理流量为0.40 L/min时,对浓度2.90 g/m3氯苯废气的平均去除率RE为57.99%,平均去除容量EC可达20.18 g/(m3·h),平均能耗Esp为190.2 kW·h/kg。响应面法分析结果表明:电流密度对去除率影响最大,电解质浓度影响最小;电解质浓度和电流密度双因子交互作用对去除率影响最显著;最优实验条件为0.149 mol/L NaCl,18.11 mA/cm2电流密度,3.804 cm极板间距,此时去除率为66.43%;方差分析表明回归模型达到显著性水平,经验证该模型可应用到实际废气的电化学处理中。Abstract: Chlorinated volatile organic compounds (Cl-VOCs) such as chlorobenzenes, are difficult to remove from the environment because they are hydrophobic, volatile, and biotoxic. In this study, an electrochemical oxidation system was constructed to investigate the effect of a single factor, current density, electrode distance, and electrolyte concentration on the removal of chlorobenzene gas, using response surface methodology (RSM), and a prediction model by Design-Expert 10.0.1 software was established to optimize the reaction condition. The results of one-factor experiments showed that when treating 2.90 g/m3 chlorobenzene gas with 0.40 L/min flow rate, Ti/Ti4O7 as anode, stainless steel wire mesh as cathode, 0.15 mol/L NaCl electrolyte, 10.0 mA/cm2 current density and 4.0 cm electrode distance, and then the average removal efficiency (RE), efficiency capacity (EC) and energy consumption (Esp) was 57.99%, 20.18 g/(m3·h) and 190.2 kW·h/kg, respectively. The results of RSM showed that current density had significant effect on RE, while the electrolyte concentration had the least effect; electrolyte concentration and current density had the biggest interaction effect on RE; the optimal experimental conditions were as follows: 0.149 mol/L NaCl, 18.11 mA/cm2 current density, 3.804 cm electrode distance, and under these conditions, the RE achieved 66.43%; it also showed that the regression model reached significant level, and the validation results was in agreement with the predicted results, which proved the feasibility of the model in treating actual waste gas.
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