Optimal synthesis of thermally coupled distillation sequences using a novel MILP approach
Identifieur interne : 005149 ( Main/Exploration ); précédent : 005148; suivant : 005150Optimal synthesis of thermally coupled distillation sequences using a novel MILP approach
Auteurs : José A. Caballero [Espagne] ; Ignacio E. Grossmann [États-Unis]Source :
- Computers & chemical engineering [ 0098-1354 ] ; 2014.
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- Pascal (Inist)
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- topic : Distillation.
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Abstract
This paper introduces a novel MILP approach for the design of distillation columns sequences of zeotropic mixtures that explicitly include from conventional to fully thermally coupled sequences and divided wall columns with a single wall. The model is based on the use of two superstructure levels. In the upper level a superstructure that includes all the basic sequences of separation tasks is postulated. The lower level is an extended tree that explicitly includes different thermal states and compositions of the feed to a given separation task. In that way, it is possible to a priori optimize all the possible separation tasks involved in the superstructure. A set of logical relationships relates the feasible sequences with the optimized tasks in the extended tree resulting in a MILP to select the optimal sequence. The performance of the model in terms of robustness and computational time is illustrated with several examples.
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Grossmann</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Department of Chemical Engineering, Carnegie Mellon University</s1><s2>Pittsburgh, PA</s2><s3>USA</s3><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><settlement type="city">Pittsburgh</settlement><region type="state">Pennsylvanie</region></placeName><orgName type="university">Université Carnegie-Mellon</orgName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">14-0119268</idno><date when="2014">2014</date><idno type="stanalyst">PASCAL 14-0119268 INIST</idno><idno type="RBID">Pascal:14-0119268</idno><idno type="wicri:Area/PascalFrancis/Corpus">000B82</idno><idno type="wicri:Area/PascalFrancis/Curation">003A40</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000499</idno><idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">000499</idno><idno type="wicri:doubleKey">0098-1354:2014:Caballero J:optimal:synthesis:of</idno><idno type="wicri:Area/Main/Merge">005422</idno><idno type="wicri:Area/Main/Curation">005149</idno><idno type="wicri:Area/Main/Exploration">005149</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Optimal synthesis of thermally coupled distillation sequences using a novel MILP approach</title><author><name sortKey="Caballero, Jose A" sort="Caballero, Jose A" uniqKey="Caballero J" first="José A." last="Caballero">José A. Caballero</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Department of Chemical Engineering, University of Alicante, Ap. Correos 99</s1><s2>03080 Alicante</s2><s3>ESP</s3><sZ>1 aut.</sZ></inist:fA14><country>Espagne</country><placeName><region nuts="2" type="communauté">Communauté valencienne</region></placeName></affiliation></author><author><name sortKey="Grossmann, Ignacio E" sort="Grossmann, Ignacio E" uniqKey="Grossmann I" first="Ignacio E." last="Grossmann">Ignacio E. Grossmann</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Department of Chemical Engineering, Carnegie Mellon University</s1><s2>Pittsburgh, PA</s2><s3>USA</s3><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><settlement type="city">Pittsburgh</settlement><region type="state">Pennsylvanie</region></placeName><orgName type="university">Université Carnegie-Mellon</orgName></affiliation></author></analytic><series><title level="j" type="main">Computers & chemical engineering</title><title level="j" type="abbreviated">Comput. chem. eng.</title><idno type="ISSN">0098-1354</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Computers & chemical engineering</title><title level="j" type="abbreviated">Comput. chem. eng.</title><idno type="ISSN">0098-1354</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Disjunctive programming</term><term>Distillation</term><term>Distillation column</term><term>Distributed control</term><term>Heat flow</term><term>Mixed integer programming</term><term>Modeling</term><term>Non azeotropic mixture</term><term>Process control</term><term>Robustness</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Flux thermique</term><term>Colonne distillation</term><term>Distillation</term><term>Commande processus</term><term>Commande répartie</term><term>Programmation partiellement en nombres entiers</term><term>Non azéotrope</term><term>Modélisation</term><term>Robustesse</term><term>Programmation disjonctive</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Distillation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper introduces a novel MILP approach for the design of distillation columns sequences of zeotropic mixtures that explicitly include from conventional to fully thermally coupled sequences and divided wall columns with a single wall. The model is based on the use of two superstructure levels. In the upper level a superstructure that includes all the basic sequences of separation tasks is postulated. The lower level is an extended tree that explicitly includes different thermal states and compositions of the feed to a given separation task. In that way, it is possible to a priori optimize all the possible separation tasks involved in the superstructure. A set of logical relationships relates the feasible sequences with the optimized tasks in the extended tree resulting in a MILP to select the optimal sequence. The performance of the model in terms of robustness and computational time is illustrated with several examples.</div></front></TEI><affiliations><list><country><li>Espagne</li><li>États-Unis</li></country><region><li>Communauté valencienne</li><li>Pennsylvanie</li></region><settlement><li>Pittsburgh</li></settlement><orgName><li>Université Carnegie-Mellon</li></orgName></list><tree><country name="Espagne"><region name="Communauté valencienne"><name sortKey="Caballero, Jose A" sort="Caballero, Jose A" uniqKey="Caballero J" first="José A." last="Caballero">José A. Caballero</name></region></country><country name="États-Unis"><region name="Pennsylvanie"><name sortKey="Grossmann, Ignacio E" sort="Grossmann, Ignacio E" uniqKey="Grossmann I" first="Ignacio E." last="Grossmann">Ignacio E. Grossmann</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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