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  Performance Improvements of Parallel-Series Reactions in Tubular Reactors Using Reactant Dosing Concepts

Thomas, S., Pushpavanam, S., & Seidel-Morgenstern, A. (2004). Performance Improvements of Parallel-Series Reactions in Tubular Reactors Using Reactant Dosing Concepts. Industrial and Engineering Chemistry Research, 43, 969-979. doi:10.1021/ie020878u.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9E7B-2 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-B8BA-2
Genre: Journal Article

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 Creators:
Thomas, S.1, Author
Pushpavanam, S.2, 3, Author              
Seidel-Morgenstern, A.1, 4, Author              
Affiliations:
1Otto-von-Guericke-Universität Magdeburg, External Organizations, escidoc:1738156              
2Indian Institute of Tech., Dep. of Chemical Engineering, Madras, Chennai, India, persistent:22              
3Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, escidoc:1738153              
4Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, escidoc:1738150              

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 Abstract: In this paper, the possibility of enhancing selectivity in parallel-series reaction networks using different reactant feeding strategies is investigated theoretically. Isothermal tubular reactors are considered where reactants can be introduced at the entrance and also added over the wall. The latter method of dosing can be realized, for example, in a membrane reactor. The control variable considered is the dosing profile of a reactant along the wall. As a typical objective function, the mole fraction of a desired intermediate product at the reactor outlet is maximized. The optimal profile is calculated analytically under some assumptions using Pontryagin's maximum principle. The results enable us to understand how the different variables determine the control policy. Insight from this approach is subsequently used to determine numerically the optimal profiles using sequential quadratic programming under more general conditions. Copyright © 2004 American Chemical Society [accessed 2013 November 27th]

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 Dates: 2004
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 207945
Other: 52/04
DOI: 10.1021/ie020878u
 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: 43 Sequence Number: - Start / End Page: 969 - 979 Identifier: ISSN: 0888-5885
CoNE: http://pubman.mpdl.mpg.de/cone/journals/resource/954928546246