Cyclohexane dehydrogenation: Critical evaluation of parameter estimation procedures for kinetic modeling

IF 5.2 2区 化学 Q1 CHEMISTRY, APPLIED Catalysis Today Pub Date : 2024-08-17 DOI:10.1016/j.cattod.2024.114993
Roger Kober , Marcio Schwaab , Elisa Barbosa-Coutinho , André Luis Alberton , José Carlos Pinto
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Abstract

In the present paper a comparison between different parameter estimation procedures commonly used for the kinetic modeling of chemical reaction is performed, based on experimental measurements of the cyclohexane dehydrogenation to benzene. The obtained results show that, when the Arrhenius equation parameters are estimated from estimates of the rate constant taken at different temperatures, larger parameter uncertainties and correlations are obtained, particularly when the variances of the experimental measurements are not considered during the estimation process. It is also observed that an apparent kinetic compensation effect occurs when the experimental data are separated according to the inlet partial pressure and catalyst mass in the reactor, mainly due to the existing and unavoidable experimental uncertainties and parameter correlations. Additionally, it is shown that larger uncertainties and correlations are obtained when the parameter estimates are computed through the differential method, which can also lead to poorer model predictions of the experimental data. Finally, it is shown that the simultaneous one-step estimation of all model parameters through the integral method and considering the available experimental uncertainties can provide the most accurate parameter estimates, making use of mathematical expressions that describe how variances of the experimental measurements depend on the experimental conditions.

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环己烷脱氢:动力学模型参数估计程序的严格评估
本文根据环己烷脱氢成苯的实验测量结果,对化学反应动力学建模常用的不同参数估计程序进行了比较。结果表明,当根据不同温度下的速率常数估算值来估算阿伦尼乌斯方程参数时,会得到较大的参数不确定性和相关性,尤其是在估算过程中没有考虑实验测量的方差时。还可以看到,当实验数据根据反应器中的入口分压和催化剂质量进行分离时,会出现明显的动力学补偿效应,这主要是由于存在不可避免的实验不确定性和参数相关性。此外,研究还表明,通过微分法计算参数估计值时,会得到更大的不确定性和相关性,这也会导致模型对实验数据的预测较差。最后,研究表明,通过积分法同时一步估计所有模型参数,并考虑可用的实验不确定性,可以提供最精确的参数估计,利用数学表达式描述实验测量的方差如何取决于实验条件。
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来源期刊
Catalysis Today
Catalysis Today 化学-工程:化工
CiteScore
11.50
自引率
3.80%
发文量
573
审稿时长
2.9 months
期刊介绍: Catalysis Today focuses on the rapid publication of original invited papers devoted to currently important topics in catalysis and related subjects. The journal only publishes special issues (Proposing a Catalysis Today Special Issue), each of which is supervised by Guest Editors who recruit individual papers and oversee the peer review process. Catalysis Today offers researchers in the field of catalysis in-depth overviews of topical issues. Both fundamental and applied aspects of catalysis are covered. Subjects such as catalysis of immobilized organometallic and biocatalytic systems are welcome. Subjects related to catalysis such as experimental techniques, adsorption, process technology, synthesis, in situ characterization, computational, theoretical modeling, imaging and others are included if there is a clear relationship to catalysis.
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