Numerical Modeling of Wall Effects in Lean Combustion: Simulations using the fuels hydrogen and methane with detailed reaction mechanisms in the gas-phase and on the surface

Andrae, Johan

ISBN 10: 3639150384 / ISBN 13: 9783639150384

Published by VDM Verlag, 2009

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Bibliographic Details

• Title: Numerical Modeling of Wall Effects in Lean Combustion: Simulations using the fuels hydrogen and methane with detailed reaction mechanisms in the gas-phase and on the surface
• Publisher: VDM Verlag
• Publication Date: 2009
• Language: English
• ISBN 10: 3639150384
• ISBN 13: 9783639150384
• Binding: Paperback
• Condition: Like New
• Book Type: book

About this title

Synopsis

Better understanding of combustion near walls has a significant interest in lean combustion using large excess of air, for example in the internal combustion engine concept Homogeneous Charge Combustion Ignition (HCCI). In this work numerical simulations have been conducted to study different aspects of wall effects in the combustion of lean, premixed, hydrogen and methane fuel/air mixtures. The simulations have been performed with the program CRESLAF, a part of the CHEMKIN software. The wall effects must be analyzed with respect to the complicated nature of the combustion process. I the near wall boundary layer, transport of momentum, heat and mass are done in a manner that may affect the hundreds of elementary chemical reaction steps. In addition, the wall may be chemically active and lead to termination of radical chains, or through catalytic reactions that may emit products from the wall and retard the homogeneous reactions. The results presented in this work may be used by designers of combustors and microchannel reactors,where calculations cannot give accurate results unless the effects of the walls are accounted for.

About the Author

Dr. Johan Andrae studied Chemical Engineering at KTH, Stockholm and carried out post doctoral research at Shell Technology Centre Thornton, UK. Current research interests include development of chemical kinetic models for surrogates to transport fuels.