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Combining catalysis and computational fluid dynamics towards improved process design for ethanol dehydration

Combining catalysis and computational fluid dynamics towards improved process design for ethanol dehydration
Combining catalysis and computational fluid dynamics towards improved process design for ethanol dehydration
Through a combined computational fluid dynamics, characterization and catalysis study we have developed, for the first time, a working model of the ethanol dehydration process within a catalytic pelletized fixed bed reactor. The model, constructed from experimental kinetic data on the dehydration of ethanol to ethylene, with the industrial MTO catalyst SAPO-34, provides unique insights on reaction rate, product selectivity and local temperature fluctuations that are pivotal to reactor design towards optimized catalytic processes, and highly relevant for the optimization of industrial chemical processes.
2044-4753
6163-6172
Potter, Matthew
34dee7dc-2f62-4022-bb65-fc7b7fb526d2
Armstrong, Lindsay-Marie
db493663-2457-4f84-9646-15538c653998
Raja, Robert
74faf442-38a6-4ac1-84f9-b3c039cb392b
Potter, Matthew
34dee7dc-2f62-4022-bb65-fc7b7fb526d2
Armstrong, Lindsay-Marie
db493663-2457-4f84-9646-15538c653998
Raja, Robert
74faf442-38a6-4ac1-84f9-b3c039cb392b

Potter, Matthew, Armstrong, Lindsay-Marie and Raja, Robert (2018) Combining catalysis and computational fluid dynamics towards improved process design for ethanol dehydration. Catalysis Science & Technology, 8 (23), 6163-6172. (doi:10.1039/C8CY01564C).

Record type: Article

Abstract

Through a combined computational fluid dynamics, characterization and catalysis study we have developed, for the first time, a working model of the ethanol dehydration process within a catalytic pelletized fixed bed reactor. The model, constructed from experimental kinetic data on the dehydration of ethanol to ethylene, with the industrial MTO catalyst SAPO-34, provides unique insights on reaction rate, product selectivity and local temperature fluctuations that are pivotal to reactor design towards optimized catalytic processes, and highly relevant for the optimization of industrial chemical processes.

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More information

Submitted date: 1 May 2018
Accepted/In Press date: 27 October 2018
e-pub ahead of print date: 31 October 2018
Published date: 7 December 2018

Identifiers

Local EPrints ID: 425802
URI: http://eprints.soton.ac.uk/id/eprint/425802
ISSN: 2044-4753
PURE UUID: fc18b55b-b369-4885-b984-9e205a8930b7
ORCID for Matthew Potter: ORCID iD orcid.org/0000-0001-9849-3306
ORCID for Robert Raja: ORCID iD orcid.org/0000-0002-4161-7053

Catalogue record

Date deposited: 02 Nov 2018 17:30
Last modified: 18 Feb 2021 17:16

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