Genetic algorithm model development for prediction of main products in thermal cracking of naphtha: Comparison with kinetic modeling

► We model thermal cracking of naphtha with first principle modeling, kinetic model. ► Ninety six reactions are optimized for their activation energies and pre-exponential factors. ► Design of experiment model is linked with GA optimization to improve the accuracy. ► GA tuned, kinetic, and DoE model...

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Bibliographic Details
Published in:Chemical engineering journal (Lausanne, Switzerland : 1996) Vol. 209; pp. 255 - 262
Main Authors: Keyvanloo, Kamyar, Sedighi, Mehdi, Towfighi, Jafar
Format: Journal Article
Language:English
Published: Oxford Elsevier B.V 15.10.2012
Elsevier
Subjects:
algorithms
Analysis of variance
Applied sciences
Chemical engineering
Exact sciences and technology
experimental design
Fracture mechanics
Genetic algorithm
Genetic algorithms
Kinetic modeling
Mathematical analysis
Mathematical models
Naphtha
neural networks
prediction
Reaction kinetics
researchers
Thermal cracking
Kinetic modeling
Genetic algorithm
Thermal cracking
Prediction
Neural network
Empirical model
Modeling
Optimization
Free radical
Operating conditions
Kinetic model
Experimental design
Kinetics
ISSN:1385-8947, 1873-3212
Online Access:Get full text
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Summary:► We model thermal cracking of naphtha with first principle modeling, kinetic model. ► Ninety six reactions are optimized for their activation energies and pre-exponential factors. ► Design of experiment model is linked with GA optimization to improve the accuracy. ► GA tuned, kinetic, and DoE models are compared and their advantages were emphasized. A novel model for prediction of the main product yields of thermal cracking of naphtha was proposed using genetic algorithms (GAs). Researchers mainly use statistical approach and artificial neural network as empirical models for modeling the thermal crackers; however, in the present study, a new application of genetic algorithm in the modeling is proposed. A polynomial model is linked with a genetic algorithm optimization procedure for a more accurate estimation of the set of model parameters compare to a Design of Experiment (DoE) derived model. A semi-mechanistic kinetic model, as a conventional method, based on free radical chain reactions was also developed using experimental results. This semi-mechanistic kinetic model contains 96 reactions. The performance of mathematical method and GA tuned model was compared with each other and the ANOVA calculation was carried out. Moreover, GA tuned model significantly improved the accuracy of the fit. This model can be used to recommend operating conditions for further experimental works in naphtha thermal cracking especially in the kinetic studies.
Bibliography:http://dx.doi.org/10.1016/j.cej.2012.07.130
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ISSN:1385-8947
1873-3212
DOI:10.1016/j.cej.2012.07.130