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

A4 Konferenspublikationer

Interna författare/redaktörer

Publikationens författare: Juan Javaloyes-Antón, Jan Kronqvist, José A. Caballero
Redaktörer: Anton Friedl, Jiří J. Klemeš, Stefan Radl, Petar S. Varbanov, Thomas Wallek
Publiceringsår: 2018
Förläggare: Elsevier
Moderpublikationens namn: 28th European Symposium on Computer Aided Process Engineering
Seriens namn: Computer Aided Chemical Engineering
Volym: 43
Artikelns första sida, sidnummer: 463
Artikelns sista sida, sidnummer: 469
Antal sidor: 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

Senast uppdaterad 2019-17-10 vid 03:54