用非平稳数学模型预测真空馏分催化裂化装置运行

Е. N. Ivashkina, G. Nazarova, E. Ivanchina, А. М. Vorobyev, А. V. Antonov, Т. А. Kaliev, G. Burumbaeva, М. Y. Mezhova
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摘要

本文介绍了基于烃类转化的热力学和动力学模式并考虑催化剂失活的催化裂化数学模型的发展。该模型对哈萨克斯坦重质油和西西伯利亚重质油的真空馏分混合物转化时的催化裂化性能进行了预测。数学模型有助于根据原料性质和提升管的操作变量预测产品的产量和组成。我们提出了实用的建议,以组织提升管技术模式,以确保在饱和和树脂原料转化时汽油(52.6-56.1 wt.%), PPF和BBF(8.3-11.2和15.2-20.1 wt.%)的最大产量。
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Prediction of unit operation of vacuum distillate catalytic cracking using a non-stationary mathematical model
This work presents the development of catalytic cracking mathematical model which is based on the thermodynamic and kinetic patterns of hydrocarbon conversions and takes into account the catalyst deactivation. This model provides a prediction of the catalytic cracking performance when the mixture of vacuum distillate from heavy Kazakhstan and West Siberian oils converts. The mathematical model helps predict the yield and composition of products depending on the feedstock properties and the operating variables of the riser. We develop practical recommendations to organize the riser technological mode to ensure the maximum yield of gasoline (52.6-56.1 wt.%), PPF and BBF (8.3-11.2 and 15.2-20.1 wt.%) when saturated and resinous feedstock converts.
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