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首页> 外文期刊>Journal of industrial and engineering chemistry >Kinetic modeling and optimization of the operating condition of MTO process on SAPO-34 catalyst
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Kinetic modeling and optimization of the operating condition of MTO process on SAPO-34 catalyst

机译：SAPO-34催化剂上MTO工艺的动力学建模和操作条件的优化

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摘要

In this paper, a new kinetic model for methanol to olefin process (MTO) over SAPO-34 catalyst was developed based on data obtained from a micro catalytic reactor using appropriate reaction network. The reaction rate equation has been introduced with consideration of reaction mechanism and the parameters were optimized on the experimental data by genetic algorithm. Comparing the experimental and predicted data showed that the predicted values from the presented model are well fitted to the experimental data. Using this kinetic model, the effect of most important operating conditions such as temperature, pressure, inlet water to methanol molar ratio and methanol space-time on the product distribution, has been examined. Finally, the optimal operating conditions for maximum production of the ethylene and the propylene were introduced.
机译：本文基于使用适当的反应网络从微催化反应器获得的数据，开发了SAPO-34催化剂上甲醇制烯烃过程（MTO）的新动力学模型。在考虑反应机理的基础上，引入了反应速率方程，并通过遗传算法对实验数据进行了优化。比较实验数据和预测数据表明，所提出模型的预测值与实验数据非常吻合。使用该动力学模型，已经研究了最重要的操作条件（例如温度，压力，进水与甲醇的摩尔比和甲醇时空）对产物分布的影响。最后，介绍了最大程度地生产乙烯和丙烯的最佳操作条件。

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