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Modeling, simulation and optimization of commercial naphtha catalytic reforming process

机译:商业石脑油催化重整过程的建模,模拟和优化

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A kinetics-based mathematic model for commercial catalytic reforming process is developed to monitor and optimize the process in this paper. The process model can predict reaction temperature and concentration profiles of each reactor, heater duties, catalyst deactivation, recycle gas composition and octane number resulting from different feedstocks or operating conditions. The lumping details of the naphtha feed and reaction scheme are given. The reaction model is described by Hougen-Watson-type rate equations with catalyst coking kinetics. The nonlinear optimization problem with process constraints is solved by the Lagrange-Marquardt composite optimization algorithm. The simulation and optimization results of the model validated for three different commercial catalytic reforming processes are presented.
机译:建立了基于动力学的商业催化重整过程数学模型,以监测和优化该过程。该过程模型可以预测每个反应器的反应温度和浓度曲线,加热器负荷,催化剂失活,循环气组成和辛烷值,这些是由于原料或操作条件不同而产生的。给出了石脑油进料和反应方案的集总细节。反应模型由具有催化剂焦化动力学的Hougen-Watson型速率方程描述。具有过程约束的非线性优化问题通过Lagrange-Marquardt复合优化算法得以解决。给出了针对三种不同的工业催化重整工艺验证的模型的仿真和优化结果。

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