Kinetic modeling of the anaerobic oxidative dehydrogenation of n-butane

Mirena, Juan; Moreno, Marta; Sogne, Gerardo; Papa, José; Pittol, José

doi:10.3233/jcm-160669

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…Kinetic parameters were estimated by performing a nonlinear regression based on the least-squares method, using the Fortran subroutine BURENL. Mirena et al [3] described the kinetic modeling for the anaerobic oxidative dehydrogenation of n-butane based on previous experimental data. They proposed different kinetic models and used a nonlinear regression algorithm to estimate kinetic parameters.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Technique for Kinetic Parameter Estimation in Heterogeneous Solid Catalytic Reaction Networks with Applications

Fernandes,

Silva,

Araújo

2024

Korean J. Chem. Eng.

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Estimating kinetic parameters in heterogeneous solid catalytic reaction networks is known to being a difficult task. This work aims at proposing a down-to-earth methodology to obtain kinetic parameters from numerical experiments. We present three techniques: a multivariable linear regression model, a stochastic metamodeling, and an optimized Kriging interpolator connected to a least-squares method. We consolidate the methodology in two different applications. The first one is a process with few components in two reactions from where it was possible to acquire the reaction rate equations that fitted literature data. The second one is a complex industrial reaction network. The results showed that even if the candidate proposed reaction rate equations do not fit the experiments, it is possible to construct a mathematical metamodel that conforms to the behavior of the components. Statistical tests showed that in both cases the proposed models successfully fit the experimental data.

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Section: Introductionmentioning

confidence: 99%