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A minimum area (MA) targeting scheme for single component MEN and HEN synthesis

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Title: A minimum area (MA) targeting scheme for single component MEN and HEN synthesis
Authors: Manousiouthakis, Vasilios1 vasilios@ucla.edu, Martin, Lealon L.2
Source: Computers & Chemical Engineering. Jul2004, Vol. 28 Issue 8, p1237-1247. 11p.
Subjects: Methodology, Heat exchangers, Mathematical optimization, Algorithms
Abstract: A systematic methodology is developed that quantifies the minimum area (MA) target over all mass exchange/heat exchange networks with single component target compositions/temperatures. The resulting mathematical formulation is a Zero–One Integer Linear Program which is polynomially solvable. The methodology is illustrated through synthesis examples in which we identify MA targets for both heat exchange networks (HEN) and single component mass exchange networks (MEN). We further establish, through a rigorous mathematical proof, that co-current mass (heat) exchange configurations are sub-optimal to counter-current configurations in regard to a MA objective. [Copyright &y& Elsevier]
Copyright of Computers & Chemical Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 13064829
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A minimum area (MA) targeting scheme for single component MEN and HEN synthesis
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  Data: <searchLink fieldCode="AR" term="%22Manousiouthakis%2C+Vasilios%22">Manousiouthakis, Vasilios</searchLink><relatesTo>1</relatesTo><i> vasilios@ucla.edu</i><br /><searchLink fieldCode="AR" term="%22Martin%2C+Lealon+L%2E%22">Martin, Lealon L.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Chemical+Engineering%22">Computers & Chemical Engineering</searchLink>. Jul2004, Vol. 28 Issue 8, p1237-1247. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Methodology%22">Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Heat+exchangers%22">Heat exchangers</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
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  Label: Abstract
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  Data: A systematic methodology is developed that quantifies the minimum area (MA) target over all mass exchange/heat exchange networks with single component target compositions/temperatures. The resulting mathematical formulation is a Zero–One Integer Linear Program which is polynomially solvable. The methodology is illustrated through synthesis examples in which we identify MA targets for both heat exchange networks (HEN) and single component mass exchange networks (MEN). We further establish, through a rigorous mathematical proof, that co-current mass (heat) exchange configurations are sub-optimal to counter-current configurations in regard to a MA objective. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Computers & Chemical Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.compchemeng.2003.08.012
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      – SubjectFull: Mathematical optimization
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      – SubjectFull: Algorithms
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              Text: Jul2004
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