Pt-Sn /分级SAPO-34沸石催化剂丙烷脱氢动力学模拟,包括催化剂失活

IF 2.1 4区 化学 Q3 CHEMISTRY, PHYSICAL
M. Komasi, S. Fatemi, S. .. Mousavi
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引用次数: 3

摘要

合成了Pt-Sn /分级SAPO-34,并对其作为丙烷脱氢法制备丙烯的高效选择性催化剂进行了动力学模拟。在常压条件下,以相对摩尔比为0.2、0.5和0.8的氢气和丙烷为原料,在550、600和650℃三种温度和重量时空速分别为4和8 h−1的整体固定床反应器中研究了反应网络的动力学。实验按照全因子实验设计进行。在不同机理和各种失活模型的基础上建立了动力学模型。采用遗传算法对动力学参数和失活参数进行了预测和优化。进一步证明了Langmuir-Hinshelwood模型可以很好地预测丙烷脱氢动力学,该模型将所有可能的脱氢步骤集中在一起,并假设表面反应为速率决定步骤。焦炭的形成动力学模型也得到了适当的结果,证实了同时考虑单层和多层焦炭沉积动力学顺序和指数失活模型的实验数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kinetic Modelling of Propane Dehydrogenation over a Pt–Sn/hierarchical SAPO-34 Zeolite Catalyst, Including Catalyst Deactivation
Pt–Sn/hierarchical SAPO-34 was synthesised and kinetically modelled as an efficient and selective catalyst for propylene production through propane dehydrogenation. The kinetics of the reaction network were studied in an integral fixed-bed reactor at three temperatures of 550, 600 and 650 °C and weight hourly space velocities of 4 and 8 h−1 with a feed containing hydrogen and propane with relative molar ratios of 0.2, 0.5 and 0.8, at normal pressure. The experiments were performed in accordance with the full factorial experimental design. The kinetic models were constructed on the basis of different mechanisms and various deactivation models. The kinetics and deactivation parameters were simultaneously predicted and optimised using genetic algorithm optimisation. It was further proven that the Langmuir–Hinshelwood model can well predict propane dehydrogenation kinetics through lumping together all the possible dehydrogenation steps and also by assuming the surface reaction as the rate-determining step. A coke formation kinetic model has also shown appropriate results, confirming the experimental data by equal consideration of both monolayer and multilayer coke deposition kinetic orders and an exponential deactivation model.
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来源期刊
CiteScore
2.10
自引率
0.00%
发文量
5
审稿时长
2.3 months
期刊介绍: The journal covers the fields of kinetics and mechanisms of chemical processes in the gas phase and solution of both simple and complex systems.
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