Oxidative Coupling of Methane: Opportunities for Microkinetic Model-Assisted Process Implementations

Oxidative coupling of methane is a low‐cost alternative for ethylene production. However, its high exothermicity, complex reaction network, and low selectivity to C2 products require more in‐depth analysis for economically viable process implementation. Microkinetic modeling enables assessment of op...

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Bibliographic Details
Published in:Chemical engineering & technology Vol. 39; no. 11; pp. 1996 - 2010
Main Authors: Obradović, Ana, Thybaut, Joris W., Marin, Guy B.
Format: Journal Article
Language:English
Published: Weinheim WILEY-VCH Verlag 01.11.2016
WILEY‐VCH Verlag
Subjects:
Assessments
Catalyst design
Catalysts
Coupling
Ethene
Ethylene
Heterogeneous-homogeneous reaction network
Mathematical models
Methane
Methane oxidative coupling
Microkinetic modeling
Networks
Reactor design
ISSN:0930-7516, 1521-4125
Online Access:Get full text
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Summary:Oxidative coupling of methane is a low‐cost alternative for ethylene production. However, its high exothermicity, complex reaction network, and low selectivity to C2 products require more in‐depth analysis for economically viable process implementation. Microkinetic modeling enables assessment of operating conditions and catalyst properties on the overall performance via elementary gas‐phase and catalytic reactions. The know‐how to reproduce and interpret experimental kinetic data, especially the role of highly reactive intermediate species, is crucial for correct reaction network determination. Once the catalyst descriptors, physical catalyst properties, and operating conditions are determined and optimized, next catalyst generations can be developed tailored to the process implementation. Natural gas reserves are a rich source of methane that can be used as feedstock for the production of ethene via oxidative coupling. Finding a mathematical formula for a highly active and selective catalyst can save years of trial and error in catalyst research and reactor design. Microkinetic modeling is a powerful tool in the development of next catalyst generations.
Bibliography:istex:515DE55D8F33DCC415CF5F6AC0DEC1EA0F5CCD5F
ark:/67375/WNG-CNCRMH4G-F
European Commission in the Seventh Framework Program - No. 228953
ArticleID:CEAT201600216
ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0930-7516
1521-4125
DOI:10.1002/ceat.201600216