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作 者:于悦 程义 周俊超 王丽军[1] 成有为[1] 李希[1] YU Yue;CHENG Yi;ZHOU Junchao;WANG Lijun;CHENG Youwei;LI Xi(College of Chemical and Biological Engineering,Zhejiang University,Hangzhou 310027,China;Zhejiang Hengyi Research Center,Hangzhou 310019,China)
机构地区:[1]浙江大学化学工程与生物工程学院,浙江杭州310027 [2]浙江恒逸研究院,浙江杭州310019
出 处:《化学反应工程与工艺》2022年第3期225-234,共10页Chemical Reaction Engineering and Technology
摘 要:基于浆态床二维轴对称流体力学模型,结合蒽醌加氢反应动力学、物质输送与扩散方程和热量传递模型,构建了浆态床蒽醌加氢反应器数学模型,获得了浆态床内气液固三相流场分布、组分浓度分布、温度分布及停留时间分布等关键信息。模拟结果表明:浆态床内物料呈现中心向上而壁面向下的循环流动特征,流体返混强烈,液体的返混状态接近于全混流,气体返混状态近似为两级等体积全混流;反应物浓度或催化剂含量表现为底部高而顶部低的分布规律,浆态床底部的反应更为强烈,气液传质特性对于蒽醌加氢反应有较大影响;受进料影响,温度分布为底部低而顶部略高,通过夹套换热,全塔温差控制在5 K以内。反应器模型的模拟结果与工业数据符合较好,可应用于工业装置的设计及优化。In this paper, a mathematical model of slurry reactor for anthraquinone hydrogenation was constructed. The model was based on the two-dimensional axisymmetric hydrodynamic model for a slurry reactor, combined with the reaction kinetics model, mass transfer model and heat transfer model. Through simulation, key information could be obtained, such as gas-liquid-solid flow field distribution, distribution of reactant concentration, distribution of temperature and residence time distribution in the slurry reactor. The simulation results indicated that the material in the slurry reactor presented the characteristics of circulating flow with the center upwards and the wall downwards. The fluid back-mixing was strong. The liquid back-mixing was close to fully mixed flow and the gas back-mixing was similar to the flow of two-stage equal tanks in series. The concentrations of reactants and catalyst were higher at the bottom and lower at the top, and the reaction at the bottom of the slurry reactor was more intense. The gas-liquid mass transfer rate greatly impacted on the reaction. Affected by the feed, the temperature in the slurry reactor was lower at the bottom and slightly higher at the top, but the temperature rise in whole column was controlled within 5 K after the jacket heat exchange. The results simulated by the reactor model was in good agreement with industrial data, and the model could be applied to the design and optimization of industrial installations.
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