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Few-Step Kinetic Model of Gaseous Autocatalytic Ethane Pyrolysis and Its Evaluation by Means of Uncertainty and Sensitivity Analysis Full article

Journal Chemical Product and Process Modeling
, E-ISSN: 1934-2659
Output data Year: 2014, Volume: 9, Number: 2, Pages: 143-154 Pages count : 12 DOI: 10.1515/cppm-2014-0008
Tags autocatalysis, ethane pyrolysis, reaction mechanisms, sensitivity analysis
Authors Nurislamova Liana F. 1 , Stoyanovskaya Olga P. 2,3,4 , Stadnichenko Olga A. 2,3,4 , Gubaidullin Irek M. 1 , Snytnikov Valeriy N. 2,3,4 , Novichkova Anastasia N. 1
Affiliations
1 Institute of Petrochemistry and Catalysis, RAS, Ufa, Russia
2 Boreskov Institute of Catalysis, SBRAS, Novosibirsk, Russia
3 Novosibirsk State University, Novosibirsk, Russia
4 UNICAT Ltd., Novosibirsk, Russia

Funding (3)

1 Russian Foundation for Basic Research 12-08-00871
2 Russian Foundation for Basic Research 12-07-31029 (01201271234)
3 Russian Foundation for Basic Research 12-07-00324 (01201267012)

Abstract: A kinetic scheme of radical chain reactions in autocatalytic pyrolysis of ethane was studied using a sensitivity analysis method, bringing in the experimental data. In the gas-phase kinetic experiments, ethane pyrolysis was carried out in laboratory reactors with the reaction mixture heated by CO2 laser irradiation. It was shown that the scheme with autocatalytic routes includes as few steps as possible and adequately describes the ethane pyrolysis with high ethylene yield at 750-900 °C. Admissible variation ranges of preexponential factors and activation energies for the kinetic model of the reactions were found using the Monte Carlo statistical method. Reducibility of the scheme was examined by means of the Sobol's variance based strategy applied for the sensitivity analysis evaluation.
Cite: Nurislamova L.F. , Stoyanovskaya O.P. , Stadnichenko O.A. , Gubaidullin I.M. , Snytnikov V.N. , Novichkova A.N.
Few-Step Kinetic Model of Gaseous Autocatalytic Ethane Pyrolysis and Its Evaluation by Means of Uncertainty and Sensitivity Analysis
Chemical Product and Process Modeling. 2014. V.9. N2. P.143-154. DOI: 10.1515/cppm-2014-0008 WOS Scopus РИНЦ AN OpenAlex
Dates:
Published online: Sep 4, 2014
Published print: Dec 1, 2014
Identifiers:
Web of science: WOS:000214158000005
Scopus: 2-s2.0-84914143007
Elibrary: 24009853
Chemical Abstracts: 2015:185784
OpenAlex: W2321724685
Citing:
DB Citing
Scopus 20
Elibrary 50
OpenAlex 19
Web of science 12
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