Evaluation of a reduced mechanism for turbulent premixed combustion
Nikolaou, Zacharias M
Combustion and Flame
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Nikolaou, Z. M., Swaminathan, S., & Chen, J. (2014). Evaluation of a reduced mechanism for turbulent premixed combustion. Combustion and Flame, 161 3085-3099. https://doi.org/10.1016/j.combustflame.2014.06.013
In this study, 3D direct numerical simulations of a multi-component fuel consisting of CO,H2,H2O,CO2 and CH4 reacting with air are performed. A freely propagating turbulent premixed stoichiometric flame is simulated for both low and high turbulence conditions i.e., the rms values of turbulent velocity fluctuations normalised by the laminar flame speed are of order 1 and 10. A skeletal mechanism involving 49 reactions and 15 species, and a 5-step reduced mechanism with 9 species, are used in order to evaluate the performance of the reduced mechanism under turbulent conditions. The 5-step mechanism incurs significantly lower computational expenses compared to the skeletal mechanism. The majority of species mean mass fractions and mean reaction rates computed using these two mechanisms are in good agreement with one another. The mean progress variable and heat release rate variations across the flame brush are also recovered by the reduced mechanism. No major differences are observed in flame response to curvature or strain effects induced by turbulence, although some differences are observed in instantaneous flame structure. These differences are studied using a correlation coefficient and detailed analysis suggests that this comes from the fluctuating heat release induced effects in the case with higher turbulence level. Further considerations based on instantaneous reaction rate and local displacement speed are discussed to evaluate the suitability of the reduced mechanism.
Direct numerical simulation, Reduced mechanism, Multi-component, Premixed, Turbulent combustion, 5-Step
Z.M.N. and N.S. acknowledges the funding through the Low Carbon Energy University Alliance Programme supported by Tsinghua University, China. Z.M.N. and N.S. acknowledge Prof. R.S. Cant for use of his DNS code SENGA2 which made these simulations possible. Z.M.N. acknowledges the educational grant through the A.G. Leventis Foundation. This work made use of the facilities of HECToR, the UK’s national high-performance computing service, which is provided by UoE HPCx Ltd at the University of Edinburgh, Cray Inc and NAG Ltd, and funded by the Office of Science and Technology through EPSRC’s High End Computing Programme.
External DOI: https://doi.org/10.1016/j.combustflame.2014.06.013
This record's URL: https://www.repository.cam.ac.uk/handle/1810/246783
Attribution 2.0 UK: England & Wales
Licence URL: http://creativecommons.org/licenses/by/2.0/uk/
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