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  Global Bounds on Optimal Solutions for the Production of 2,3 Dimethylbutene-1

Gangadwala, J., Kienle, A., Haus, U. U., Michaels, D., & Weismantel, R. (2006). Global Bounds on Optimal Solutions for the Production of 2,3 Dimethylbutene-1. Industrial and Engineering Chemistry Research, 45, 2261-2271. doi:10.1021/ie050584j.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9A88-6 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-D108-A
Genre: Journal Article
Alternative Title : Ind. Engng. Chem. Res.

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 Creators:
Gangadwala, J.1, Author              
Kienle, A.1, 2, Author              
Haus, U. U.2, Author
Michaels, D.2, Author
Weismantel, R.2, Author
Affiliations:
1Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738153              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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 Abstract: This paper is concerned with computer-aided optimal design of combined reaction-distillation processes. The production of solvent 2,3-dimethylbutene-1 by isomerization of 2,3-dimethylbutene-2 is considered as an innovative benchmark problem. Possible process candidates are a reactive distillation column, a reactor coupled to a nonreactive distillation column, or a reactive reboiler with a nonreactive distillation column on top. Suitable mathematical models of the different processes are formulated, and the reaction kinetics of the isomerization over an Amberlyst 15 catalyst is determined. Local mixed-integer nonlinear optimization indicates that reactive distillation has the lowest total annulized costs. However, because of the nonconvexity of the underlying optimization problem, better solutions for the other process candidates cannot be excluded with the local approach. Therefore, a new approach is presented which provides a global lower bound for the second best solution and therefore proves that reactive distillation is the best option. The new approach is based on some suitable polyhedral approximation of the underlying model equations leading to a mixed-integer linear optimization problem. Copyright © 2006 American Chemical Society [accessed 2014 January 8th]

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Language(s): eng - English
 Dates: 2006
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 238090
Other: 7/06
DOI: 10.1021/ie050584j
 Degree: -

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Title: Industrial and Engineering Chemistry Research
Source Genre: Journal
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Publ. Info: Washington, D.C : American Chemical Society
Pages: - Volume / Issue: 45 Sequence Number: - Start / End Page: 2261 - 2271 Identifier: ISSN: 0888-5885
CoNE: /journals/resource/954928546246