Hybrid dynamic modeling of 4-CBA hydrogenation fixed-bed catalytic reactor of PTA production plant

In this paper, a dynamic hybrid model of 4-carboxybenzaldehyde (4-CBA) hydrogenation fixed-bed catalytic reactor of Purified Terephthalic Acid (PTA) production plant has been developed. At the first step, the deactivation model of the reaction system has been predicted by using artificial neural net...

Full description

Saved in:
Bibliographic Details
Main Authors: Azarpour, Abbas, Zahedi, Gholamreza
Format: Article
Published: Elsevier 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/33866/
https://www.sciencedirect.com/science/article/pii/B9780444595065501644?via%3Dihub
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.33866
record_format eprints
spelling my.utm.338662018-10-14T08:19:24Z http://eprints.utm.my/id/eprint/33866/ Hybrid dynamic modeling of 4-CBA hydrogenation fixed-bed catalytic reactor of PTA production plant Azarpour, Abbas Zahedi, Gholamreza TP Chemical technology In this paper, a dynamic hybrid model of 4-carboxybenzaldehyde (4-CBA) hydrogenation fixed-bed catalytic reactor of Purified Terephthalic Acid (PTA) production plant has been developed. At the first step, the deactivation model of the reaction system has been predicted by using artificial neural network (ANN) technique. Then, the deactivation model estimated by ANN as black box incorporated to first principle model (FPM) as white box. Therefore, the established hybrid model has been utilized to model the hydrogenation reactor of PTA plant. Finally, the simulated results have been compared with the industrial reactor data. It has been concluded that hybrid model is more precise than a FPM model. Elsevier 2012 Article PeerReviewed Azarpour, Abbas and Zahedi, Gholamreza (2012) Hybrid dynamic modeling of 4-CBA hydrogenation fixed-bed catalytic reactor of PTA production plant. Computer Aided Chemical Engineering, 31 . pp. 1667-1671. ISSN 1570-7946 https://www.sciencedirect.com/science/article/pii/B9780444595065501644?via%3Dihub DOI:10.1016/B978-0-444-59506-5.50164-4
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TP Chemical technology
spellingShingle TP Chemical technology
Azarpour, Abbas
Zahedi, Gholamreza
Hybrid dynamic modeling of 4-CBA hydrogenation fixed-bed catalytic reactor of PTA production plant
description In this paper, a dynamic hybrid model of 4-carboxybenzaldehyde (4-CBA) hydrogenation fixed-bed catalytic reactor of Purified Terephthalic Acid (PTA) production plant has been developed. At the first step, the deactivation model of the reaction system has been predicted by using artificial neural network (ANN) technique. Then, the deactivation model estimated by ANN as black box incorporated to first principle model (FPM) as white box. Therefore, the established hybrid model has been utilized to model the hydrogenation reactor of PTA plant. Finally, the simulated results have been compared with the industrial reactor data. It has been concluded that hybrid model is more precise than a FPM model.
format Article
author Azarpour, Abbas
Zahedi, Gholamreza
author_facet Azarpour, Abbas
Zahedi, Gholamreza
author_sort Azarpour, Abbas
title Hybrid dynamic modeling of 4-CBA hydrogenation fixed-bed catalytic reactor of PTA production plant
title_short Hybrid dynamic modeling of 4-CBA hydrogenation fixed-bed catalytic reactor of PTA production plant
title_full Hybrid dynamic modeling of 4-CBA hydrogenation fixed-bed catalytic reactor of PTA production plant
title_fullStr Hybrid dynamic modeling of 4-CBA hydrogenation fixed-bed catalytic reactor of PTA production plant
title_full_unstemmed Hybrid dynamic modeling of 4-CBA hydrogenation fixed-bed catalytic reactor of PTA production plant
title_sort hybrid dynamic modeling of 4-cba hydrogenation fixed-bed catalytic reactor of pta production plant
publisher Elsevier
publishDate 2012
url http://eprints.utm.my/id/eprint/33866/
https://www.sciencedirect.com/science/article/pii/B9780444595065501644?via%3Dihub
_version_ 1643649454239121408
score 13.2014675