Global quasi-linearization (GQL) versus QSSA for a hydrogen–air auto-ignition problem. Issue 16 (31st January 2018)

• Record Type: Journal Article
• Authors: Yu, Chunkan; Bykov, Viatcheslav; Maas, Ulrich
• Is Part Of: Physical chemistry chemical physics. Volume 20:Issue 16(2018)
• Page Start: 10770
• Page End: 10779
• Publication Date: 2018-01-31
• Subjects: Chemistry, Physical and theoretical -- Periodicals; 541.3
• DOI: 10.1039/c7cp07213a
• Languages: English
• ISSNs: 1463-9076

Abstract

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. 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.