Journal
COMPUTERS & CHEMICAL ENGINEERING
Volume 27, Issue 1, Pages 111-130Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0098-1354(02)00163-1
Keywords
simulation; multiobjective optimization; styrene reactor; genetic algorithm; pareto sets
Ask authors/readers for more resources
The paper describes a multiobjective optimization study for industrial styrene reactors using non-dominated sorting genetic algorithm (NSGA). Several two- and three- objective functions, namely, production, yield and selectivity of styrene, are considered for adiabatic as well as steam-injected styrene reactors. Pareto optimal (a set of equally good) solutions are obtained due to conflicting effect of either ethyl benzene feed temperature or flow rate. The results provide extensive range of optimal operating conditions, from which a suitable operating point can be selected based on the specific requirements in the plant. (C) 2002 Elsevier Science Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available