Abstract

Optimization of industrial styrene reactor design for two objectives using the non-dominated sorting genetic algorithm (NSGA) is studied. Both adiabatic and steam-injected reactors are considered. The two objectives are maximization of styrene production and styrene selectivity. The study shows that styrene reactor design can be optimized easily and reliably for two objectives by NSGA. It provides a range of optimal designs, from which the most suitable design can be selected based on other considerations.

Recommended Citation

Li, Yue; Rangaiah, Gade P.; and Ray, Ajay Kumar (2003) "Optimization of Styrene Reactor Design for Two Objectives using a Genetic Algorithm," International Journal of Chemical Reactor Engineering: Vol. 1: A13.
Available at: http://www.bepress.com/ijcre/vol1/A13