Design of robust heat recovery systems in paper machines

Frank Pettersson, J Soderman

    Research output: Contribution to journalArticleScientificpeer-review

    24 Citations (Scopus)


    In this work a hybrid method based on evolutionary programming and non-linear programming for the synthesis of robust and optimal heat recovery systems (HRS) for paper machines is presented. Variations and uncertainties on process parameters are modeled with probability distributions and the cost of the utilities are thus obtained as an integrated value of all different situations expected to evolve. The importance of obtaining a robust design is shown in a case study. (c) 2007 Elsevier B.V. All rights reserved.
    Original languageUndefined/Unknown
    Pages (from-to)910–917
    Number of pages8
    JournalChemical Engineering and Processing
    Issue number10
    Publication statusPublished - 2007
    MoE publication typeA1 Journal article-refereed


    • genetic algorithm
    • heat recovery
    • optimization
    • paper machines
    • robust design

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