| アイテムタイプ |
itemtype_ver1(1) |
| 公開日 |
2024-07-05 |
| タイトル |
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|
タイトル |
Parameter estimation for reactive chromatography model by Bayesian inference and parallel sequential Monte Carlo |
|
言語 |
en |
| 著者 |
Sugiyama, Hikari
Yamamoto, Yota
Suzuki, Kensuke
Yajima, Tomoyuki
Kawajiri, Yoshiaki
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| アクセス権 |
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|
アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利 |
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|
権利情報 |
© 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
|
言語 |
en |
| 内容記述 |
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|
内容記述タイプ |
Abstract |
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内容記述 |
eactive chromatography overcomes many disadvantages of conventional separation processes by improving yields and reduces costs by combining reaction and separation in a single operation. Model-based optimization is essential to realize industrial applications of this process. Parameters in the model must be estimated accurately, and evaluating the uncertainty of the model parameters is crucial. However, uncertainty quantification of model parameters has not been performed for reactive chromatography processes. In this study, we propose an approach to estimate the parameter uncertainty of reactive chromatography processes using Bayesian inference and parallel sequential Monte Carlo. As an example, the esterification synthesis of acetic acid and methanol catalyzed by a cation exchange resin was considered. Parameter estimation was performed using a reactive chromatography experiment and a non-reactive experiment in which only the products were injected. The results of the analysis showed that using both the reactive and non-reactive chromatography experimental data simultaneously improved the accuracy of the estimation. In addition, correlations between some parameters were revealed. |
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言語 |
en |
| 出版者 |
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出版者 |
Elsevier |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
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|
資源タイプresource |
http://purl.org/coar/resource_type/c_6501 |
|
タイプ |
journal article |
| 出版タイプ |
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|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 関連情報 |
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|
関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.1016/j.cherd.2024.01.056 |
| 収録物識別子 |
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収録物識別子タイプ |
PISSN |
|
収録物識別子 |
0263-8762 |
| 書誌情報 |
en : Chemical Engineering Research and Design
巻 203,
p. 378-390,
発行日 2024-03
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| ファイル公開日 |
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|
日付 |
2026-03-01 |
|
日付タイプ |
Available |
manuscript_marked1104.pdf (1.8 MB)
