Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 336-348 |
| Number of pages | 13 |
| Journal | Nordic Pulp and Paper Research Journal |
| Volume | 26 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2011 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- Modelling
- ynamic simulation
- stochastic simulation
- papermaking process
- model assessment
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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 journal › Article › Scientific › peer-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
U2 - 10.3183/NPPRJ-2011-26-03-p336-348
DO - 10.3183/NPPRJ-2011-26-03-p336-348
M3 - Article
VL - 26
SP - 336
EP - 348
JO - Nordic Pulp and Paper Research Journal
JF - Nordic Pulp and Paper Research Journal
SN - 0283-2631
IS - 3
ER -