TY - JOUR
T1 - Multi-objective optimization of industrial styrene reactor
T2 - Adiabatic and pseudo-isothermal operation
AU - Gujarathi, Ashish M.
AU - Babu, B. V.
PY - 2010
Y1 - 2010
N2 - Multi-objective differential evolution (MODE) is used to optimize an industrial styrene reactor considering productivity, selectivity and yield as the main objectives. Two reactor configurations (single bed adiabatic operation and steam injected pseudo-isothermal operation) and four combinations of objectives consisting of 5 and 7 variables respectively are considered. Pareto optimal solutions are obtained for all combinations of objective functions for both the configurations. The results are compared with those reported in the literature and an industrial operating point. For all the cases considered, MODE is able to give a Pareto front better (in terms of wider range and a better spread) than that obtained using NSGA for both the configurations. Steam injected reactor configuration is better than the adiabatic reactor configuration in terms of performance. The Pareto optimal solutions obtained from such studies provide a wide range of optimal operating conditions from which an appropriate operating point can be selected based on the requirements of the decision maker.
AB - Multi-objective differential evolution (MODE) is used to optimize an industrial styrene reactor considering productivity, selectivity and yield as the main objectives. Two reactor configurations (single bed adiabatic operation and steam injected pseudo-isothermal operation) and four combinations of objectives consisting of 5 and 7 variables respectively are considered. Pareto optimal solutions are obtained for all combinations of objective functions for both the configurations. The results are compared with those reported in the literature and an industrial operating point. For all the cases considered, MODE is able to give a Pareto front better (in terms of wider range and a better spread) than that obtained using NSGA for both the configurations. Steam injected reactor configuration is better than the adiabatic reactor configuration in terms of performance. The Pareto optimal solutions obtained from such studies provide a wide range of optimal operating conditions from which an appropriate operating point can be selected based on the requirements of the decision maker.
KW - Multi-objective differential evolution
KW - Optimization
KW - Pareto front
KW - Polymer processing
KW - Reaction engineering
KW - Simulation
KW - Styrene
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U2 - 10.1016/j.ces.2009.11.041
DO - 10.1016/j.ces.2009.11.041
M3 - Article
AN - SCOPUS:76549097364
SN - 0009-2509
VL - 65
SP - 2009
EP - 2026
JO - Chemical Engineering Science
JF - Chemical Engineering Science
IS - 6
ER -