Application of Genetic Algorithm in Kinetic Modeling of Fischer-Tropsch Synthesis

Systematic methods and tools for managing the complexity

Advances in Computational & Numerical Methods (T4-4P)

Mr Mohammad Masoori
Sharif University of Technology
Chemical & Petroleum Engineering
Sharif University of Technology
Azadi St.
Tehran,
PO Box: 11365-8639
Islamic Republic of Iran

Asc. Prof Ramin Bozorgmehri
Sharif University of Technology
Department of Chemical and Petroleum Engineering
Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran
Islamic Republic of Iran

Mrs Maryam Sarnavi
Ministry of Education
Chemistry
Ministry of Education, Khorram Abad, Lorestan, Iran
Islamic Republic of Iran

Keywords: Genetic Algorithm, Kinetic Model, Optimization, Fischer-Tropsch (FT), Water Gas Shift (WGS).

Kinetic modeling is an important issue, whose objective is the accurate determination of the rates of various reactions taking place in a reacting system. This issue is a pivotal element in the process design and development particularly for novel processes which are based on reactions taking place between various types of species.
The Fischer Tropsch (FT) reactions have been used as the kinetic modeling bench mark. General kinetic models for FT, Water-Gas-Shift (WGS) and overall rates based on Langmuir-Hinshelwood type have been considered and their optimum parameters have been obtained by Genetic Algorithms. The study shows the obtained model outperforms the other alternative models both in generality and accuracy.
This work shows that due to flexibility and generality of Genetic Algorithms, GA is a useful technique with lots of potentials in determination of optimum kinetic model corresponding to a set of complex reactions.

Presented Tuesday 18, 13:30 to 15:00, in session Advances in Computational & Numerical Methods (T4-4P).