DNS of Lean Premixed Combustion Assisted by Partial Fuel Stratification for Assessment of G-Equation Modeling Approach
ORAL
Abstract
This study focuses on understanding the detailed flame structures associated with partial fuel stratification (PFS)-assisted lean premixed combustion using two-dimensional direct numerical simulation (DNS). The DNS is performed using the spectral element CFD solver Nek5000 with detailed chemistry, experimental pressure trace, and realistic initial conditions mapped from a separate large-eddy simulation (LES), replicating a lean spark ignition engine condition. Numerical results indicate the prevalence of conventional triple flame structures during the initial stage of flame kernel growth. Both premixed and non-premixed combustion modes are present with the premixed mode contributing dominantly to the total heat release. Detailed analysis reveals non-negligible effects of flame stretch and fuel pyrolysis on the flame displacement speed. Based on the DNS findings, the accuracy of a hybrid G-equation/well-stirred reactor combustion model is assessed for PFS-assisted operation in the LES context. Implications of the DNS analysis for other advanced engine combustion concepts with low-carbon fuels, such as H2, are further discussed.
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Publication: C. Xu, M. Ameen, P. Pal, S. Som, Direct numerical simulation of partial fuel stratification assisted lean premixed combustion for assessment of hybrid G-equation/well-stirred reactor model, submitted to J. Eng. Gas Turbines Power, 2022.
Presenters
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Chao Xu
Argonne National Laboratory, Transportation and Power Systems, Argonne National Laboratory, Lemont, IL, 60439, USA, Argonne National Labs
Authors
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Chao Xu
Argonne National Laboratory, Transportation and Power Systems, Argonne National Laboratory, Lemont, IL, 60439, USA, Argonne National Labs
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Pinaki Pal
Argonne National Laboratory
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Muhsin Ameen
Argonne National Laboratory
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Sibendu Som
Argonne National Laboratory