Abstract
This paper presents the research regarding determination of kinetic model parameters from a catalytic cracking process. Starting from the Weekman kinetic model, the authors proposed a simplified version of this model and, based on experimental data form a catalytic cracking plant, they have numerical determined the coefficients of the new kinetic model. For this purpose, there were defined two objective functions; the first function is based on errors generated by estimation of the riser outlet temperature and the second function associated to the errors generated by the estimation of the gasoline yield. The minimization of the two objective functions has been solve by using Optimization Toolbox from MATLAB programming language. The results showed that the objective function that depends on gasoline yield allows more accurate estimation of the kinetic parameters from this model.
Highlights
This paper presents the research regarding determination of kinetic model parameters from a catalytic cracking process
Determination of kinetic model coefficients is realised by minimizing an objective function whose structure defined as a sum of errors squared of the selected output variable, deviations calculated based on experimental data and the values determined based on the kinetic model and the reactor model
It is noticed that the optimum solution values are different, and more for the second varTiahbeleh,ikg2ho. value of the objective function suggests that the temperature at the riser outlet is not suitable for determining the coefficients of the kinetic model
Summary
CRISTINA POPA*, NICOLETA NICOLAE, CRISTIAN PATRASCIOIU Petroleum-Gas University of Ploiesti, 39 Bucuresti Blvd., 100680, Ploiesti, Romania. Starting from the Weekman kinetic model, the authors proposed a simplified version of this model and, based on experimental data form a catalytic cracking plant, they have numerical determined the coefficients of the new kinetic model. For this purpose, there were defined two objective functions; the first function is based on errors generated by estimation of the riser outlet temperature and the second function associated to the errors generated by the estimation of the gasoline yield.
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