Optimal control and design of a cold store using dynamic optimization

L.J.S. Lukasse, J. Broeze, S. van der Sluis

    Research output: Contribution to journalArticleAcademicpeer-review

    6 Citations (Scopus)

    Abstract

    The design of controlled processes is a combined optimal control and design problem (OCDP). Literature on solving large OCDPs is rare. This paper presents an algorithm for solving large OCDPs. For this algorithm system dynamics, objective function and their first-order derivatives must be continuous in the state, control and design parameters. The algorithm is successfully applied to the combined control and design problem of a cold store with three possible refrigeration technologies: mechanical refrigeration, ventilation and evaporative cooling. As a result, insight into cost effectiveness of the refrigeration technologies is generated. It is concluded that for this cold store in the Netherlands evaporative cooling is too expensive. Ventilation is economically viable if the cold store is to be used in January only. In case the cold store is to be operated all year then it is most economical to rely on mechanical refrigeration only and use the overcapacity during most part of the year to shift refrigeration to low-tariff hours.
    Original languageEnglish
    Pages (from-to)61-75
    JournalOptimal Control Applications and Methods
    Volume30
    Issue number1
    DOIs
    Publication statusPublished - 2009

    Fingerprint Dive into the research topics of 'Optimal control and design of a cold store using dynamic optimization'. Together they form a unique fingerprint.

  • Cite this