Novel MILP-based optimization method for retrofitting heat exchanger networks

Ming Pan, Igor Bulatov, Robin Smith

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper presents a novel optimization method for retrofitting heat exchanger networks (HENs). The optimization framework is developed based on the iterative optimization of a relatively simple mixed integer linear programming (MILP), which can effectively deal with the computational difficulties associated with nonlinearity, and facilitate the automated design of HEN retrofit with rigorous consideration of economic trade-off. A case study based on literature example has been carried out to demonstrate the validity and soundness of the proposed approach. © 2012 Elsevier B.V.
    Original languageEnglish
    Pages (from-to)567-571
    Number of pages4
    JournalComputer Aided Chemical Engineering
    Volume30
    DOIs
    Publication statusPublished - 2012

    Keywords

    • Heat exchanger network (HEN)
    • Iteration
    • Mixed integer linear programming (MILP)
    • Optimization
    • Retrofit

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