Sciact
  • EN
  • RU

Energy-Efficient Dehydrogenation of Methanol in a Membrane Reactor: A Mathematical Modeling Full article

Journal Chemical Papers
ISSN: 0366-6352 , E-ISSN: 1336-9075
Output data Year: 2018, Volume: 72, Number: 10, Pages: 2617–2629 Pages count : 13 DOI: 10.1007/s11696-018-0491-x
Tags Methanol dehydrogenation; carbon-supported copper catalyst; catalytic membrane reactor; mathematical modeling; hydrogen oxidation; thermodynamically conjugated process
Authors Shelepova Ekaterina V. 1 , Ilina Ludmila Yu. 1 , Vedyagin Aleksey A. 1,2
Affiliations
1 Boreskov Institute of Catalysis SB RAS, pr. Ac. Lavrentieva, 5, 630090 Novosibirsk, Russia
2 National Research Tomsk Polytechnic University, Lenin av., 30, 634050 Tomsk, Russia

Funding (2)

1 Federal Agency for Scientific Organizations 0303-2016-0014
2 The Ministry of Education and Science of the Russian Federation VIU-TOVPM-316/2017

Abstract: A two-dimensional non-isothermal stationary mathematical model of the catalytic membrane reactor for the process of methanol dehydrogenation is described. Copper supported on the carbonaceous support was considered as a catalyst. The reaction of methanol dehydrogenation was thermodynamically conjugated with a reaction of hydrogen oxidation taking place in a shell side of the membrane reactor. The effects of various parameters on the methanol conversion and the methyl formate yield have been calculated with the developed model and discussed. Two different types of heating the gas flow were considered and compared. In the case of conjugated dehydrogenation process, the methyl formate yield reaches 77%, when the reactor outer wall was heated up to 150 °C. When the inlet gas flows in the tube and shell sides were heated up to 100 and 83 °C, correspondingly, the yield was 72%.
Cite: Shelepova E. , Ilina L. , Vedyagin A.
Energy-Efficient Dehydrogenation of Methanol in a Membrane Reactor: A Mathematical Modeling
Chemical Papers. 2018. V.72. N10. P.2617–2629. DOI: 10.1007/s11696-018-0491-x WOS Scopus РИНЦ AN OpenAlex
Dates:
Submitted: Dec 2, 2017
Accepted: Apr 26, 2018
Published online: May 4, 2018
Published print: Oct 1, 2018
Identifiers:
Web of science: WOS:000441004300019
Scopus: 2-s2.0-85051217483
Elibrary: 35722032
Chemical Abstracts: 2018:904846
OpenAlex: W2799462417
Citing:
DB Citing
Web of science 4
Scopus 5
Elibrary 4
OpenAlex 4
Altmetrics: