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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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

N2 - 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.

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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