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Prediction of industrial catalysts deactivation rate using first principle model and operating data

Catalyst deactivation is the loss of catalytic activity and/or selectivity over the course of time. Catalyst deactivation is a considerable and enduring problem in the operation of industrial catalytic processes. It is very costly in terms of catalyst replacement and process shutdown. The deactivati...

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Main Authors: Azarpour, A., Alwi, S. R. W.
Format: Article
Published: Malaysian Society of Analytical Sciences 2017
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TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/76814/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014078769&doi=10.17576%2fmjas-2017-2101-24&partnerID=40&md5=f400bbd5d01dec4a78b25b5674f23d27
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spelling my.utm.768142018-05-31T09:27:50Z http://eprints.utm.my/id/eprint/76814/ Prediction of industrial catalysts deactivation rate using first principle model and operating data Azarpour, A. Alwi, S. R. W. TP Chemical technology Catalyst deactivation is the loss of catalytic activity and/or selectivity over the course of time. Catalyst deactivation is a considerable and enduring problem in the operation of industrial catalytic processes. It is very costly in terms of catalyst replacement and process shutdown. The deactivation phenomenon not only affects the final product quality but also negatively influences the efficiency of the downstream processes. Therefore, a practical method which can accurately predict the deactivation rate can be a quite advantage to the industrial processes. In this paper, the deactivation rate of the industrial catalyst is predicted using operating data and catalyst specifications. The first principle model (FPM) is employed to predict the catalysts deactivation rate. The devised model is implemented into an industrial catalyst, which is palladium supported on carbon (Pd/C) utilized for the purification process of terephthalic acid, to show its applicability. The whole programs to obtain the rate of catalyst deactivation have been coded into Matlab R2013a environment. The model validated against industrial data. For the proposed catalyst, the catalyst sintering order is calculated with less that 3 percent error, and the pre-exponential values and the activation energy for the deactivation were calculated 0.00092 h-1 and 5279 J mol-1. Moreover, the catalyst is deactivated after around 360 days of operation. The methods, which are devised in this study, can be applied to any industrial catalyst to calculate the rate of deactivation. Malaysian Society of Analytical Sciences 2017 Article PeerReviewed Azarpour, A. and Alwi, S. R. W. (2017) Prediction of industrial catalysts deactivation rate using first principle model and operating data. Malaysian Journal of Analytical Sciences, 21 (1). pp. 204-212. ISSN 1394-2506 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014078769&doi=10.17576%2fmjas-2017-2101-24&partnerID=40&md5=f400bbd5d01dec4a78b25b5674f23d27 DOI:10.17576/mjas-2017-2101-24
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, A.
Alwi, S. R. W.
Prediction of industrial catalysts deactivation rate using first principle model and operating data
description Catalyst deactivation is the loss of catalytic activity and/or selectivity over the course of time. Catalyst deactivation is a considerable and enduring problem in the operation of industrial catalytic processes. It is very costly in terms of catalyst replacement and process shutdown. The deactivation phenomenon not only affects the final product quality but also negatively influences the efficiency of the downstream processes. Therefore, a practical method which can accurately predict the deactivation rate can be a quite advantage to the industrial processes. In this paper, the deactivation rate of the industrial catalyst is predicted using operating data and catalyst specifications. The first principle model (FPM) is employed to predict the catalysts deactivation rate. The devised model is implemented into an industrial catalyst, which is palladium supported on carbon (Pd/C) utilized for the purification process of terephthalic acid, to show its applicability. The whole programs to obtain the rate of catalyst deactivation have been coded into Matlab R2013a environment. The model validated against industrial data. For the proposed catalyst, the catalyst sintering order is calculated with less that 3 percent error, and the pre-exponential values and the activation energy for the deactivation were calculated 0.00092 h-1 and 5279 J mol-1. Moreover, the catalyst is deactivated after around 360 days of operation. The methods, which are devised in this study, can be applied to any industrial catalyst to calculate the rate of deactivation.
format Article
author Azarpour, A.
Alwi, S. R. W.
author_facet Azarpour, A.
Alwi, S. R. W.
author_sort Azarpour, A.
title Prediction of industrial catalysts deactivation rate using first principle model and operating data
title_short Prediction of industrial catalysts deactivation rate using first principle model and operating data
title_full Prediction of industrial catalysts deactivation rate using first principle model and operating data
title_fullStr Prediction of industrial catalysts deactivation rate using first principle model and operating data
title_full_unstemmed Prediction of industrial catalysts deactivation rate using first principle model and operating data
title_sort prediction of industrial catalysts deactivation rate using first principle model and operating data
publisher Malaysian Society of Analytical Sciences
publishDate 2017
url http://eprints.utm.my/id/eprint/76814/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014078769&doi=10.17576%2fmjas-2017-2101-24&partnerID=40&md5=f400bbd5d01dec4a78b25b5674f23d27
_version_ 1643657416353513472
score 13.211869

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