Issue 16, 2018

Global quasi-linearization (GQL) versus QSSA for a hydrogen–air auto-ignition problem

Abstract

A recently developed automatic reduction method for systems of chemical kinetics, the so-called Global Quasi-Linearization (GQL) method, has been implemented to study and reduce the dimensions of a homogeneous combustion system. The results of application of the GQL and the Quasi-Steady State Assumption (QSSA) are compared. A number of drawbacks of the QSSA are discussed, i.e. the selection criteria of QSS-species and its sensitivity to system parameters, initial conditions, etc. To overcome these drawbacks, the GQL approach has been developed as a robust, automatic and scaling invariant method for a global analysis of the system timescale hierarchy and subsequent model reduction. In this work the auto-ignition problem of the hydrogen–air system is considered in a wide range of system parameters and initial conditions. The potential of the suggested approach to overcome most of the drawbacks of the standard approaches is illustrated.

Graphical abstract: Global quasi-linearization (GQL) versus QSSA for a hydrogen–air auto-ignition problem

Supplementary files

Article information

Article type
Paper
Submitted
24 Okt 2017
Accepted
15 Jan 2018
First published
15 Jan 2018

Phys. Chem. Chem. Phys., 2018,20, 10770-10779

Global quasi-linearization (GQL) versus QSSA for a hydrogen–air auto-ignition problem

C. Yu, V. Bykov and U. Maas, Phys. Chem. Chem. Phys., 2018, 20, 10770 DOI: 10.1039/C7CP07213A

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