Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ces.2004.07.120
Title: Multiobjective optimization of an industrial styrene monomer manufacturing process
Authors: Tarafder, A. 
Rangaiah, G.P. 
Ray, A.K. 
Keywords: Chemical reactors
Industrial process
Modelling
Multiobjective
NSGA
Optimization
Pareto set
Process systems engineering
Reaction engineering
Simulation
Styrene
Issue Date: Jan-2005
Source: Tarafder, A., Rangaiah, G.P., Ray, A.K. (2005-01). Multiobjective optimization of an industrial styrene monomer manufacturing process. Chemical Engineering Science 60 (2) : 347-363. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ces.2004.07.120
Abstract: Multi-objective optimization of the operation and design of a styrene manufacturing process has been studied with the elitist nondominated sorting genetic algorithm (NSGA-II). In the first part, the study focused on bi-objective optimization and comparative analysis of three different styrene reactor designs-the single-bed, the steam-injected and the double-bed reactors. The objectives were to simultaneously maximize styrene flow rate and styrene selectivity. In the second part, on the other hand, a Iri-objective optimization study was performed involving the entire manufacturing process consisting of the reactor, heat-exchangers and separation units. Only the double-bed reactor was considered in this study for maximizing the styrene flow rate and selectivity and minimizing the total heat duty required by the manufacturing process. Results are presented and discussed in detail. © 2004 Elsevier Ltd. All rights reserved.
Source Title: Chemical Engineering Science
URI: http://scholarbank.nus.edu.sg/handle/10635/90853
ISSN: 00092509
DOI: 10.1016/j.ces.2004.07.120
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

42
checked on Apr 2, 2018

WEB OF SCIENCETM
Citations

33
checked on Apr 2, 2018

Page view(s)

48
checked on Apr 20, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.