Model reduction and mechanism comparison of hydrogen/oxygen auto-ignition

Viatcheslav Bykov; Chunkan Yu; Vladimir Gol'Dshtein; Ulrich Maas

doi:10.1016/j.proci.2018.06.189

Model reduction and mechanism comparison of hydrogen/oxygen auto-ignition

Viatcheslav Bykov
, Chunkan Yu
, Vladimir Gol'Dshtein
, Ulrich Maas

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The problem of reduced kinetic models for auto-ignition is revisited. The hydrogen-air system is considered in a wide range of system parameters and initial conditions. The Global Quasi-Linearization (GQL) method is implemented to study the slow/fast time scale separation. Accordingly, the rate equations can be split into evolution equations for the fast and slow sub-systems. It is shown that in this way reduced models reproduce the detailed kinetics with a high accuracy.

Original language	English
Pages (from-to)	781-787
Number of pages	7
Journal	Proceedings of the Combustion Institute
Volume	37
Issue number	1
DOIs	https://doi.org/10.1016/j.proci.2018.06.189
State	Published - 1 Jan 2019

Keywords

Auto-ignition problem
Chemical kinetics
GQL
Model reduction

ASJC Scopus subject areas

General Chemical Engineering
Mechanical Engineering
Physical and Theoretical Chemistry

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10.1016/j.proci.2018.06.189

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title = "Model reduction and mechanism comparison of hydrogen/oxygen auto-ignition",

abstract = "The problem of reduced kinetic models for auto-ignition is revisited. The hydrogen-air system is considered in a wide range of system parameters and initial conditions. The Global Quasi-Linearization (GQL) method is implemented to study the slow/fast time scale separation. Accordingly, the rate equations can be split into evolution equations for the fast and slow sub-systems. It is shown that in this way reduced models reproduce the detailed kinetics with a high accuracy.",

keywords = "Auto-ignition problem, Chemical kinetics, GQL, Model reduction",

author = "Viatcheslav Bykov and Chunkan Yu and Vladimir Gol'Dshtein and Ulrich Maas",

note = "Funding Information: Financial support by the German Research Foundation ( DFG ) within the projects FOR1993 and BY 94/2-1 is gratefully acknowledged. ",

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AU - Bykov, Viatcheslav

AU - Yu, Chunkan

AU - Gol'Dshtein, Vladimir

AU - Maas, Ulrich

N1 - Funding Information: Financial support by the German Research Foundation ( DFG ) within the projects FOR1993 and BY 94/2-1 is gratefully acknowledged.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - The problem of reduced kinetic models for auto-ignition is revisited. The hydrogen-air system is considered in a wide range of system parameters and initial conditions. The Global Quasi-Linearization (GQL) method is implemented to study the slow/fast time scale separation. Accordingly, the rate equations can be split into evolution equations for the fast and slow sub-systems. It is shown that in this way reduced models reproduce the detailed kinetics with a high accuracy.

AB - The problem of reduced kinetic models for auto-ignition is revisited. The hydrogen-air system is considered in a wide range of system parameters and initial conditions. The Global Quasi-Linearization (GQL) method is implemented to study the slow/fast time scale separation. Accordingly, the rate equations can be split into evolution equations for the fast and slow sub-systems. It is shown that in this way reduced models reproduce the detailed kinetics with a high accuracy.

KW - Auto-ignition problem

KW - Chemical kinetics

KW - GQL

KW - Model reduction

UR - https://www.scopus.com/pages/publications/85051938520

U2 - 10.1016/j.proci.2018.06.189

DO - 10.1016/j.proci.2018.06.189

M3 - Article

AN - SCOPUS:85051938520

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SP - 781

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JO - Proceedings of the Combustion Institute

JF - Proceedings of the Combustion Institute

IS - 1

ER -

Model reduction and mechanism comparison of hydrogen/oxygen auto-ignition

Abstract

Keywords

ASJC Scopus subject areas

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