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research article

On the various local solutions to a two-input dynamic optimization problem

Binette, J. C.
•
Srinivasan, B.  
•
Bonvin, D.  
2016
Computers & Chemical Engineering

Solving a multi-input dynamic optimization of a batch processes is a complex problem involving interactions between input variables and constraints over time. The problem gets more difficult due to the presence of local solutions that have almost the same cost but widely varying structures. This paper studies various local optimal solutions for a non-isothermal semi-batch reactor with the feed rate and temperature as inputs and a heat removal constraint. Three solution patterns were studied, all consisting in meeting the heat removal constraint for the first part and seeking the compromise between the main and side reactions in the later part. A sensitivity analysis shows that the best solution pattern among those studied does not change with variations in parameters or initial conditions. (C) 2016 Elsevier Ltd. All rights reserved.

  • Details
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Type
research article
DOI
10.1016/j.compchemeng.2016.09.003
Web of Science ID

WOS:000386248700007

Author(s)
Binette, J. C.
Srinivasan, B.  
Bonvin, D.  
Date Issued

2016

Publisher

Elsevier

Published in
Computers & Chemical Engineering
Volume

95

Start page

71

End page

74

Subjects

Process optimization

•

Batch processes

•

Numerical methods

•

Analytical methods

•

Constrained optimization

•

Sensitivity

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA  
Available on Infoscience
November 21, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/131334
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