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

被引:0
作者
Kober, Roger [1 ]
Schwaab, Marcio [1 ]
Barbosa-Coutinho, Elisa [2 ]
Alberton, Andre Luis [3 ]
Pinto, Jose Carlos [4 ]
机构
[1] Univ Fed Rio Grande Do Sul, Escola Engn, Dept Engn Quim, Rua Ramiro Barcelos 2777, BR-90035007 Porto Alegre, RS, Brazil
[2] Univ Fed Rio Grande Do Sul, Dept Fisicoquim, Inst Quim, Ave Bento Goncalves 9500, BR-91501970 Porto Alegre, RS, Brazil
[3] Univ Estado Rio De Janeiro, Programa Posgrad Engn Quim, Rua Sao Francisco Xavier 524, BR-20550900 Rio De Janeiro, Brazil
[4] Univ Fed Rio De Janeiro, COPPE, Programa Engn Quim, Cidade Univ CP 68502, BR-21941972 Rio De Janeiro, RJ, Brazil
关键词
Cyclohexane; Dehydrogenation; Compensation effect; Model discrimination; Kinetics; Catalysis; OPTIMUM REFERENCE TEMPERATURE; ARRHENIUS EQUATION; MATHEMATICAL ORIGINS; CO2; METHANATION; REPARAMETERIZATION; LINEARIZATION;
D O I
10.1016/j.cattod.2024.114993
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
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.
引用
收藏
页数:9
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