A species-weighted flamelet/progress variable model with differential diffusion effects for oxy-fuel jet flames

Abstract
A flamelet/progress variable (FPV) model accounting for the differential diffusion (DD) effects is proposed and applied to large eddy simulation (LES) of turbulent oxy-fuel flames (Sevault et al. 2012). Based on tabulations with the detailed molecular diffusion and the equal diffusion (ED) assumption, a species-weighted flamelet (SWF) model is developed to represent the DD effects. The influences of combustion progress, mixture fraction, and turbulence on variable Lewis numbers are incorporated into the model. The model assessments are first conducted on a laminar coflow flame, showing that the effect of DD on temperature and species is accurately captured, in that the importance of DD is seen in the laminar flame. Subsequently the model is implemented in a fully coupled LES of oxy-fuel jet flames. The LES results show that DD plays an important role in the reaction zone and regions near the fuel nozzle, and its effect decreases farther downstream, consistent with the experimental observations. The LES with the SWF model yields good predictions on the mean temperature and major species at the fuel-rich side while slight deviation (less than 6%) at the fuel-lean side. In comparison, LES with the original unity Lewis numbers flamelet model (Pierce et al. 2004) predicts a full extinction because of neglecting the DD characteristics, while the variable Lewis number flamelet model provides the maximum deviation of 26% because of ignoring the ED characteristics produced by turbulent disturbance. The trend and location of localized extinction of oxy-fuel flame are also well predicted using the SWF model.

Citation
Jiang, X., Guo, J., Wei, Z., Quadarella, E., Im, H. G., & Liu, Z. (2023). A species-weighted flamelet/progress variable model with differential diffusion effects for oxy-fuel jet flames. Combustion and Flame, 251, 112674. https://doi.org/10.1016/j.combustflame.2023.112674

Acknowledgements
This study was financially supported by National Key Research and Development Program of China (2019YFE0100100), the National Natural Science Foundation of China (51906075), and the King Abdullah University of Science and Technology. Simulations utilized the resources at Wuhan Supercomputing Center. XJ also acknowledges modeling discussions with Dr. Hao Lu at Huazhong University of Science and Technology.

Publisher
Elsevier BV

Journal
Combustion and Flame

DOI
10.1016/j.combustflame.2023.112674

Additional Links
https://linkinghub.elsevier.com/retrieve/pii/S0010218023000597

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