A Numerical Investigation of the Flame Characteristics of a CH 4 /NH 3 Blend Under Different Swirl Intensity and Diffusion Models

Ahmed Adam, Ayman Elbaz, Reo Kai and Hiroaki Watanabe ()
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Ahmed Adam: Interdisciplinary Graduate School of Engineering Sciences (IGSES), Kyushu University, Kasuga City 816-8580, Fukuoka Prefecture, Japan
Ayman Elbaz: Clean Energy Research Platform (CERP), King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
Reo Kai: Interdisciplinary Graduate School of Engineering Sciences (IGSES), Kyushu University, Kasuga City 816-8580, Fukuoka Prefecture, Japan
Hiroaki Watanabe: Interdisciplinary Graduate School of Engineering Sciences (IGSES), Kyushu University, Kasuga City 816-8580, Fukuoka Prefecture, Japan

Energies, 2025, vol. 18, issue 15, 1-19

Abstract: This study investigates the effects of diffusion modeling and swirl intensity on flow fields and NO emissions in CH 4 /NH 3 non-premixed swirling flames using large eddy simulations (LESs). Simulations are performed for a 50/50 ammonia–methane blend at three global equivalence ratios of 0.77, 0.54, and 0.46 and two swirl numbers of 8 and 12, comparing the unity Lewis number (ULN) and mixture-averaged diffusion (MAD) models against the experimental data includes OH-PLIF and ON-PLIF reported in a prior study by the KAUST group. Both models produce similar flow fields, but the MAD model alters the flame structure and species distributions due to differential diffusion (DD) and limitations in its Flamelet library. Notably, the MAD library lacks unstable flame branch solutions, leading to extensive interpolation between extinction and stable branches. This results in overpredicted progress variable source terms and reactive scalars, both within and beyond the flame zone. The ULN model better reproduces experimental OH profiles and localizes NO formation near the flame front, whereas the MAD model predicts broader NO distributions due to nitrogen species diffusion. Higher swirl intensities shorten the flame and shift NO production upstream. While a low equivalence ratio provides enough air for good mixing, lower ammonia and higher NO contents in exhaust gases, respectively.

Keywords: turbulent non-premixed combustion; differential diffusion; flame structure; Flamelet progress variable (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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