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

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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

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Publication details

The article was received on 24 Oct 2017, accepted on 15 Jan 2018 and first published on 15 Jan 2018


Article type: Paper
DOI: 10.1039/C7CP07213A
Citation: Phys. Chem. Chem. Phys., 2018, Advance Article
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    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, Advance Article , DOI: 10.1039/C7CP07213A

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