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Open AccessArticle

Accelerating Kinetic Parameter Identification by Extracting Information from Transient Data: A Hydroprocessing Study Case

1
IFP Energies nouvelles, Rond-point de l’échangeur de Solaize, BP 3, 69360 Solaize, France
2
Laboratory for Chemical Technology, Ghent University, Technologiepark 125, B-9052 Ghent, Belgium
*
Author to whom correspondence should be addressed.
Catalysts 2020, 10(4), 361; https://doi.org/10.3390/catal10040361
Received: 25 February 2020 / Revised: 16 March 2020 / Accepted: 24 March 2020 / Published: 26 March 2020
(This article belongs to the Special Issue Catalyst Deactivation and Regeneration)
Hydroprocessing reactions require several days to reach steady-state, leading to long experimentation times for collecting sufficient data for kinetic modeling purposes. The information contained in the transient data during the evolution toward the steady-state is, at present, not used for kinetic modeling since the stabilization behavior is not well understood. The present work aims at accelerating kinetic model construction by employing these transient data, provided that the stabilization can be adequately accounted for. A comparison between the model obtained against the steady-state data and the one after accounting for the transient information was carried out. It was demonstrated that by accounting for the stabilization, combined with an experimental design algorithm, a more robust and faster manner was obtained to identify kinetic parameters, which saves time and cost. An application was presented in hydrodenitrogenation, but the proposed methodology can be extended to any hydroprocessing reaction. View Full-Text
Keywords: kinetic modeling; hydrocarbon; reactor; stabilization; transient data kinetic modeling; hydrocarbon; reactor; stabilization; transient data
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Cao, N.-Y.-P.; Celse, B.; Guillaume, D.; Guibard, I.; Thybaut, J.W. Accelerating Kinetic Parameter Identification by Extracting Information from Transient Data: A Hydroprocessing Study Case. Catalysts 2020, 10, 361.

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