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    煤化工VOCs催化氧化实验与模拟研究

    Experimental and simulation research on catalytic oxidation of vocs in coal chemical industry waste gas

    • 摘要: 为了探究煤化工挥发性有机物(VOCs)的流量、预热温度及浓度对催化氧化反应器温度及转化率的影响与多因素的耦合作用,文中采用VOCs催化管式炉实验和MATLAB软件建立催化反应器一维模型相结合的方法,开展动力学参数的校正,从单因素分析与Box-Behnken响应面实验设计两个角度,系统探究了上述因素对催化反应器温度及废气转化率的影响规律与多因素耦合作用。研究结果表明:基于Box-Behnken设计的响应面模型揭示了三因素的非线性交互作用,在中心水平区域附近,反应器温度敏感性排序为VOCs浓度>预热温度>废气流量,废气转化率敏感性为预热温度>废气流量>VOCs浓度。结合耦合方程与敏感性分析,以反应器温度<550 ℃、VOCs转化率>97%为目标,提出以废气流量和VOCs浓度为输入参数,求解预热温度的理论可行域。研究结论为工业VOCs催化氧化反应器的参数优化与控制提供理论依据。

       

      Abstract: In order to investigate the effect of the flow rate, preheating temperature and concentration of VOCs(volatile organic compounds) in coal chemical industry on the temperature and conversion rate of the catalytic oxidation reactor, as well as the coupling effect of multiple factors, this study focuses on a catalytic oxidation reactor for VOCs. A combined approach of experimental investigation via a VOCs catalytic tube furnace and MATLAB-based one-dimensional modeling of the catalytic reactor was employed to calibrate kinetic parameters. Systematic investigations were conducted through single-factor analysis and Box-Behnken response surface experimental design to explore the individual and combined effects of preheating temperature, flow rate, and concentration on reactor temperature and VOCs conversion efficiency. The results demonstrate that the response surface model based on Box-Behnken design has revealed nonlinear interactions among the three factors. Near the central parameter levels, the sensitivity order for reactor temperature was VOCs concentration > preheating temperature > exhaust flow rate, while for conversion efficiency, it was preheating temperature > exhaust flow rate > VOCs concentration. By integrating coupling equations with sensitivity analysis, and targeting reactor temperature <550 ℃ and VOCs conversion > 97%, a theoretically feasible region for preheating temperature was determined using the exhaust flow rate and VOCs concentration as input parameters. This study provides theoretical guidance for parameter optimization and control in industrial VOCs catalytic oxidation reactors.

       

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