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

Juan Javaloyes-Antón, Jan Kronqvist, José A. Caballero

    Research output: Chapter in Book/Conference proceedingConference contributionScientificpeer-review

    1 Citation (Scopus)


    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.
    Original languageUndefined/Unknown
    Title of host publication28th European Symposium on Computer Aided Process Engineering
    EditorsAnton Friedl, Jiří J. Klemeš, Stefan Radl, Petar S. Varbanov, Thomas Wallek
    Number of pages7
    ISBN (Print)978-0-444-64235-6
    Publication statusPublished - 2018
    MoE publication typeA4 Article in a conference publication
    EventEuropean Symposium on Computer Aided Process Engineering - 28th European Symposium on Computer Aided Process Engineering (ESCAPE 28)
    Duration: 10 Jun 201813 Jun 2018


    ConferenceEuropean Symposium on Computer Aided Process Engineering


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

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