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)

    Abstract

    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
    PublisherElsevier
    Pages463–469
    Number of pages7
    ISBN (Print)978-0-444-64235-6
    DOIs
    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

    Conference

    ConferenceEuropean Symposium on Computer Aided Process Engineering
    Period10/06/1813/06/18

    Keywords

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

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