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Five-lump kinetic model with selective catalyst deactivation for the prediction of the product selectivity in the fluid catalytic cracking process

机译:具有预测性催化剂失活的五集动力学模型,用于预测流化催化裂化过程中产物的选择性

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摘要

The effective simulation of the fluid catalytic cracking(FCC)operation requires a good understanding of many factors such as,reaction kinetics,fluid dynamics,and feed and catalyst effects.The different product slates that can be obtained are the consequence of a complex reaction scheme including cracking,isomerization,hydrogen transfer,oligomerization,etc.Furthermore,the catalyst deactivation may affect each one of the reactions in different ways,which creates an additional reason for different variation with time-on-stream of the yield to each product.On the basis of the experimental data of the FCC pilot plant operated in Chemical Process Engineering Research Institute(CPERI,Thessaloniki,Greece),a lumping model was developed for the prediction of the FCC product distribution.The lumped reaction network involved five general lumps(gas oil,gasoline,coke,liquefied product gas,and dry gas)to simulate the cracking reactions and to predict the gas oil conversion and the product distribution.The paths of catalyst deactivation were studied and a selective deactivation model was adopted that enhances the fundamentality and accuracy of the lumping scheme.The hypothesis of selective catalyst deactivation was found to improve the product slates prediction.Models with different assumptions were examined,regarding the behavior of the catalyst,as deactivated,and its effect on the reactions of the lumping scheme.A large database of experiments,performed in the FCC pilot plant of CPERI was used to verify the performance of the models in steady state unit operation.The simulation results depict the importance of incorporating selective catalyst deactivation functions in FCC lumping models.
机译:有效地模拟流化床催化裂化(FCC)操作需要对许多因素有充分的了解,例如反应动力学,流体动力学以及进料和催化剂的影响。可获得的不同产物是复杂反应方案的结果。此外,催化剂的失活可能以不同的方式影响每个反应,这为每个产品的产量随时间的变化产生了不同的变化。根据化学过程工程研究所(CPERI,Thesaloniki,Greece)运营的FCC中试工厂的实验数据,建立了一个集总模型来预测FCC产品的分布。该集总反应网络涉及五个一般集总(气体)石油,汽油,焦炭,液化气和干燥气)以模拟裂化反应并预测瓦斯油的转化率和产物分布n。研究了催化剂失活的路径,并采用了选择性失活模型来增强集总方案的基础性和准确性。发现了选择性催化剂失活的假设可以改善产物形态的预测。针对不同的假设,研究了模型失活的催化剂的行为及其对集总方案反应的影响。在CPERI的FCC中试工厂中进行的大型实验数据库用于验证模型在稳态单元操作中的性能。仿真结果说明了在FCC集总模型中纳入选择性催化剂减活功能的重要性。

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