Simulation-based optimization of chemical processes using the extended cutting plane algorithm

A4 Conference proceedings

Internal Authors/Editors

Publication Details

List of Authors: Juan Javaloyes-Antón, Jan Kronqvist, José A. Caballero
Editors: Anton Friedl, Jiří J. Klemeš, Stefan Radl, Petar S. Varbanov, Thomas Wallek
Publication year: 2018
Publisher: Elsevier
Book title: 28th European Symposium on Computer Aided Process Engineering
Title of series: Computer Aided Chemical Engineering
Volume number: 43
Start page: 463
End page: 469
Number of pages: 7
ISBN: 978-0-444-64235-6
ISSN: 1570-7946


In this work, we study the performance of the mixed-integer nonlinear programming solver extended cutting plane (ECP) for solving simulation-based optimization problems. This solver, unlike other commercial derivative-based solvers such as the ones based on the branch and bound or outer approximation algorithms, does not require solving a nonlinear programming problem in each major iteration. This is an important feature of the ECP solver, since solving simulation-based nonlinear programming problems is a complex task due to the absence of accurate derivatives. The approach has been applied in the economic optimization of a rigorous tray-by-tray distillation column.


Aspen Hysys, extended cutting plane, MINLP, Simulation-based optimization

Last updated on 2020-14-07 at 06:36