Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/64257
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dc.titleMultiobjective optimization of an industrial ethylene reactor using a nondominated sorting genetic algorithm
dc.contributor.authorTarafder, A.
dc.contributor.authorLee, B.C.S.
dc.contributor.authorRay, A.K.
dc.contributor.authorRangaiah, G.P.
dc.date.accessioned2014-06-17T07:45:04Z
dc.date.available2014-06-17T07:45:04Z
dc.date.issued2005-01-05
dc.identifier.citationTarafder, A.,Lee, B.C.S.,Ray, A.K.,Rangaiah, G.P. (2005-01-05). Multiobjective optimization of an industrial ethylene reactor using a nondominated sorting genetic algorithm. Industrial and Engineering Chemistry Research 44 (1) : 124-141. ScholarBank@NUS Repository.
dc.identifier.issn08885885
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/64257
dc.description.abstractEthylene is produced in the largest volume among the monomers, and hence, any improvement in its production process can bring important benefits to both industry and consumers. In the present paper, an industrial ethylene reactor has been studied with a multiobjective optimization technique to find a scope for further improvements and to detect a range of optimal solutions. An industrial reactor unit using ethane as the feedstock was modeled, assuming a detailed free-radical 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 and three objectives, the elitist nondominated sorting genetic algorithm, or NSGA-II, was chosen. Instead of a single optimum as in traditional optimization, a broad range of optimal design and operating conditions depicting tradeoffs of key performance parameters such as conversion, selectivity and ethylene flow rate was successfully obtained. The effects of design and operating variables on the optimal solutions are discussed in detail, and the generated results are compared with industrial data.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.sourcetitleIndustrial and Engineering Chemistry Research
dc.description.volume44
dc.description.issue1
dc.description.page124-141
dc.description.codenIECRE
dc.identifier.isiutNOT_IN_WOS
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