Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen: http://dx.doi.org/10.25673/36123
Titel: Analysis and model-based description of the total process of periodic deactivation and regeneration of a VO x catalyst for selective dehydrogenation of propane
Autor(en): Brune, Andreas
Seidel-Morgenstern, AndreasIn der Gemeinsamen Normdatei der DNB nachschlagen
Hamel, ChristofIn der Gemeinsamen Normdatei der DNB nachschlagen
Erscheinungsdatum: 2020
Art: Artikel
Sprache: Englisch
URN: urn:nbn:de:gbv:ma9:1-1981185920-363565
Schlagwörter: Deactivation
Reaction kinetics
Propane dehydrogenation
Zusammenfassung: 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-Publikation
Nutzungslizenz: (CC BY 4.0) Creative Commons Namensnennung 4.0 International(CC BY 4.0) Creative Commons Namensnennung 4.0 International
Sponsor/Geldgeber: DFG-Publikationsfonds 2020
Journal Titel: Catalysts
Verlag: MDPI
Verlagsort: Basel
Band: 10
Heft: 12
Originalveröffentlichung: 10.3390/catal10121374
Seitenanfang: 1
Seitenende: 28
Enthalten in den Sammlungen:Fakultät für Verfahrens- und Systemtechnik (OA)

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
Brune et al._Analysis_2020.pdfZweitveröffentlichung8.69 MBAdobe PDFMiniaturbild
Öffnen/Anzeigen