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首页> 外文期刊>Applied Petrochemical Research >A kinetic model for ethylene oligomerization using zirconium/aluminum- and nickel/zinc-based catalyst systems in a batch reactor
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A kinetic model for ethylene oligomerization using zirconium/aluminum- and nickel/zinc-based catalyst systems in a batch reactor

机译:在间歇反应器中使用锆/铝和镍/锌基催化剂体系进行乙烯低聚反应的动力学模型

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The aim of this work is to develop a kinetic model of the oligomerization of ethylene to linear alpha olefins (LAOs) for zirconium/aluminum and nickel/zinc catalyst systems. The development of such model helps in the study of the behavior of industrial LAOs reactors as well as in the optimization of their operation. The kinetic model was developed based on a four-step mechanism: site activation, initiation and propagation, chain transfer and site deactivation. A novel stochastic optimization algorithm, Intelligent Firefly Algorithm, was used to obtain the kinetic model parameters that best fit the available experimental data that were obtained from published sources. The values of the kinetic parameters were obtained for the developed kinetic models for two catalyst systems. The performance of the model with the estimated parameters was tested against the experimental data. The proposed kinetic model predicts the product distribution for the zirconium/aluminum catalyst system with suitable accuracy. The model can also predict the product distribution for the nickel/zinc catalyst system with good accuracy for all products. As expected, the accuracy of the model to predict the concentration of the higher carbon products decreases with the carbon number.
机译:这项工作的目的是开发用于锆/铝和镍/锌催化剂体系的乙烯低聚为线性α烯烃(LAO)的动力学模型。这种模型的开发有助于研究工业LAO反应堆的性能以及优化其运行。动力学模型是基于四步机制开发的:位点激活,引发和传播,链转移和位点失活。一种新颖的随机优化算法,智能萤火虫算法,用于获得最适合从公开来源获得的可用实验数据的动力学模型参数。动力学参数的值是针对两个催化剂体系开发的动力学模型获得的。针对实验数据测试了带有估计参数的模型的性能。所提出的动力学模型以合适的精度预测了锆/铝催化剂体系的产物分布。该模型还可以预测所有产品的镍/锌催化剂体系的产品分布情况。如预期的那样,预测较高碳产物浓度的模型的准确性随碳原子数而降低。

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