Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0098-1354(00)00299-4
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dc.titleA method for simulation and optimization of multiphase distillation
dc.contributor.authorShyamsundar, V.
dc.contributor.authorRangaiah, G.P.
dc.date.accessioned2014-06-16T09:30:16Z
dc.date.available2014-06-16T09:30:16Z
dc.date.issued2000-04-03
dc.identifier.citationShyamsundar, V., Rangaiah, G.P. (2000-04-03). A method for simulation and optimization of multiphase distillation. Computers and Chemical Engineering 24 (1) : 23-37. ScholarBank@NUS Repository. https://doi.org/10.1016/S0098-1354(00)00299-4
dc.identifier.issn00981354
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54358
dc.description.abstractSimulation and optimization of multiphase distillation are often required in the design and operation of process plants. In this work, a simultaneous solution method (τ-method) is proposed and studied for simulating/optimizing two- and three-phase distillation. This method involves modification of mole fraction summations such that the same set of governing equations is valid for different phase regions, and hence phase identification and solution of the governing equations can be performed simultaneously and effectively. The optimization problem involved in the τ- method has a linear objective function and nonlinear constraints, and it can be solved using an iterated linear programming (ILP) or nonlinear programming (NLP) approach. The τ-method is applied to steady state simulation and optimization of two- and three-phase distillation. The results obtained for several examples and conditions are shown to be consistent and comparable to those in the literature. The τ-method is successful for simultaneous simulation and optimization of multiphase distillation. For the distillation examples tried by the τ-method with the ILP approach, initialization based on feed is often satisfactory, major iterations (similar to those in Newton method) for convergence is 5 to 10, and CPU time on a personal computer is less than 1 minute. On the other hand, the τ-method with the NLP approach generally requires better initialization and/or more computations for convergence. (C) 2000 Elsevier Science Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0098-1354(00)00299-4
dc.sourceScopus
dc.subjectOptimization
dc.subjectSimultaneous solution method
dc.subjectSteady state simulation
dc.subjectTwo- and three-phase distillation
dc.typeArticle
dc.contributor.departmentCHEMICAL & ENVIRONMENTAL ENGINEERING
dc.description.doi10.1016/S0098-1354(00)00299-4
dc.description.sourcetitleComputers and Chemical Engineering
dc.description.volume24
dc.description.issue1
dc.description.page23-37
dc.description.codenCCEND
dc.identifier.isiut000087575700003
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