Author/Authors :
Salari, D. university of tabriz - Department of Applied Chemistry and Chemical Engineering, Chemical Process Technology Laboratory, تبريز, ايران , Niaei, A. university of tabriz - Department of Applied Chemistry and Chemical Engineering, Chemical Process Technology Laboratory, تبريز, ايران , Nabavi, S. R. university of tabriz - Department of Applied Chemistry and Chemical Engineering, Chemical Process Technology Laboratory, تبريز, ايران
Abstract :
An industrial ethane thermal cracking reactor was modeled assuming a molecular mechanism for the reaction kinetics coupled with material, energy, and momentum balances of the reactant-product flow along the reactor. To carry out the multiobjective optimization for two objectives such as conversion and ethylene selectivity, the elitist non-dominated sorting genetic algorithm was used. The Pareto optimum set was obtained successfully and finally the effect of the decision variable was discussed.
Keywords :
Optimization , Genetic algorithm , Thermal cracking , Ethane
