Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/36123
Title: Analysis and model-based description of the total process of periodic deactivation and regeneration of a VO x catalyst for selective dehydrogenation of propane
Author(s): Brune, Andreas
Seidel-Morgenstern, AndreasLook up in the Integrated Authority File of the German National Library
Hamel, ChristofLook up in the Integrated Authority File of the German National Library
Issue Date: 2020
Type: Article
Language: English
URN: urn:nbn:de:gbv:ma9:1-1981185920-363565
Subjects: Deactivation
Reaction kinetics
Propane dehydrogenation
Abstract: This study intends to provide insights into various aspects related to the reaction kinetics of the VOx catalyzed propane dehydrogenation including main and side reactions and, in particular, catalyst deactivation and regeneration, which can be hardly found in combination in current literature. To kinetically describe the complex reaction network, a reduced model was fitted to lab scale experiments performed in a fixed bed reactor. Additionally, thermogravimetric analysis (TGA) was applied to investigate the coking behavior of the catalyst under defined conditions considering propane and propene as precursors for coke formation. Propene was identified to be the main coke precursor, which agrees with results of experiments using a segmented fixed bed reactor (FBR). A mechanistic multilayer-monolayer coke growth model was developed to mathematically describe the catalyst coking. Samples from long-term deactivation experiments in an FBR were used for regeneration experiments with oxygen to gasify the coke deposits in a TGA. A power law approach was able to describe the regeneration behavior well. Finally, the results of periodic experiments consisting of several deactivation and regeneration cycles verified the long-term stability of the catalyst and confirmed the validity of the derived and parametrized kinetic models for deactivation and regeneration, which will allow model-based process development and optimization.
URI: https://opendata.uni-halle.de//handle/1981185920/36356
http://dx.doi.org/10.25673/36123
Open Access: Open access publication
License: (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0(CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0
Sponsor/Funder: DFG-Publikationsfonds 2020
Journal Title: Catalysts
Publisher: MDPI
Publisher Place: Basel
Volume: 10
Issue: 12
Original Publication: 10.3390/catal10121374
Page Start: 1
Page End: 28
Appears in Collections:Fakultät für Verfahrens- und Systemtechnik (OA)

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