Assessment method of dynamic, stochastic process models with an application to papermaking

Jouni Savolainen, Olli Saarela, Jari Lappalainen, Sakari Kaijaluoto

    Research output: Contribution to journalArticleScientificpeer-review

    2 Citations (Scopus)

    Abstract

    The purpose of this paper is to present a method for assessing whether optimized process design and operations, based on simplified simulation models, can be carried towards real life. The proposed method relies on a more realistic, or if available, a set of more and more realistic simulation models being compared with the original model utilized in the optimization problem. The models which are utilized are dynamic and stochastic in nature, necessitating statistical analyses of the results. The method is applied recursively to a generic papermaking process model with the addition of increasingly more realistic modifications. It is shown how the proposed comparison method detects the effects of such modifications and thus provides information on how well the optimization results are applicable to real life situations. The purpose of the presented method is to add one element to an overall framework of simulation-aided process design.
    Original languageEnglish
    Pages (from-to)336-348
    Number of pages13
    JournalNordic Pulp and Paper Research Journal
    Volume26
    Issue number3
    DOIs
    Publication statusPublished - 2011
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    papermaking
    stochastic processes
    Papermaking
    assessment method
    stochasticity
    Random processes
    Process design
    simulation models
    simulation
    methodology
    system optimization
    method

    Keywords

    • Modelling
    • ynamic simulation
    • stochastic simulation
    • papermaking process
    • model assessment

    Cite this

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    title = "Assessment method of dynamic, stochastic process models with an application to papermaking",
    abstract = "The purpose of this paper is to present a method for assessing whether optimized process design and operations, based on simplified simulation models, can be carried towards real life. The proposed method relies on a more realistic, or if available, a set of more and more realistic simulation models being compared with the original model utilized in the optimization problem. The models which are utilized are dynamic and stochastic in nature, necessitating statistical analyses of the results. The method is applied recursively to a generic papermaking process model with the addition of increasingly more realistic modifications. It is shown how the proposed comparison method detects the effects of such modifications and thus provides information on how well the optimization results are applicable to real life situations. The purpose of the presented method is to add one element to an overall framework of simulation-aided process design.",
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    author = "Jouni Savolainen and Olli Saarela and Jari Lappalainen and Sakari Kaijaluoto",
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    Assessment method of dynamic, stochastic process models with an application to papermaking. / Savolainen, Jouni; Saarela, Olli; Lappalainen, Jari; Kaijaluoto, Sakari.

    In: Nordic Pulp and Paper Research Journal, Vol. 26, No. 3, 2011, p. 336-348.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Assessment method of dynamic, stochastic process models with an application to papermaking

    AU - Savolainen, Jouni

    AU - Saarela, Olli

    AU - Lappalainen, Jari

    AU - Kaijaluoto, Sakari

    N1 - Project code: 72961

    PY - 2011

    Y1 - 2011

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    AB - The purpose of this paper is to present a method for assessing whether optimized process design and operations, based on simplified simulation models, can be carried towards real life. The proposed method relies on a more realistic, or if available, a set of more and more realistic simulation models being compared with the original model utilized in the optimization problem. The models which are utilized are dynamic and stochastic in nature, necessitating statistical analyses of the results. The method is applied recursively to a generic papermaking process model with the addition of increasingly more realistic modifications. It is shown how the proposed comparison method detects the effects of such modifications and thus provides information on how well the optimization results are applicable to real life situations. The purpose of the presented method is to add one element to an overall framework of simulation-aided process design.

    KW - Modelling

    KW - ynamic simulation

    KW - stochastic simulation

    KW - papermaking process

    KW - model assessment

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    DO - 10.3183/NPPRJ-2011-26-03-p336-348

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    JO - Nordic Pulp and Paper Research Journal

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    SN - 0283-2631

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    ER -