A Numerical Investigation of the Flame Characteristics of a CH<sub>4</sub>/NH<sub>3</sub> Blend Under Different Swirl Intensity and Diffusion Models
This study investigates the effects of diffusion modeling and swirl intensity on flow fields and NO emissions in CH<sub>4</sub>/NH<sub>3</sub> non-premixed swirling flames using large eddy simulations (LESs). Simulations are performed for a 50/50 ammonia–methane blend at thre...
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2025-07-01
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| Online Access: | https://www.mdpi.com/1996-1073/18/15/3921 |
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| author | Ahmed Adam Ayman Elbaz Reo Kai Hiroaki Watanabe |
| author_facet | Ahmed Adam Ayman Elbaz Reo Kai Hiroaki Watanabe |
| author_sort | Ahmed Adam |
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| description | This study investigates the effects of diffusion modeling and swirl intensity on flow fields and NO emissions in CH<sub>4</sub>/NH<sub>3</sub> 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. |
| format | Article |
| id | doaj-art-f6f65f83e3e648c7814fdfe38a0c3d2f |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
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| series | Energies |
| spelling | doaj-art-f6f65f83e3e648c7814fdfe38a0c3d2f2025-08-20T03:36:03ZengMDPI AGEnergies1996-10732025-07-011815392110.3390/en18153921A Numerical Investigation of the Flame Characteristics of a CH<sub>4</sub>/NH<sub>3</sub> Blend Under Different Swirl Intensity and Diffusion ModelsAhmed Adam0Ayman Elbaz1Reo Kai2Hiroaki Watanabe3Interdisciplinary Graduate School of Engineering Sciences (IGSES), Kyushu University, Kasuga City 816-8580, Fukuoka Prefecture, JapanClean Energy Research Platform (CERP), King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi ArabiaInterdisciplinary Graduate School of Engineering Sciences (IGSES), Kyushu University, Kasuga City 816-8580, Fukuoka Prefecture, JapanInterdisciplinary Graduate School of Engineering Sciences (IGSES), Kyushu University, Kasuga City 816-8580, Fukuoka Prefecture, JapanThis study investigates the effects of diffusion modeling and swirl intensity on flow fields and NO emissions in CH<sub>4</sub>/NH<sub>3</sub> 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.https://www.mdpi.com/1996-1073/18/15/3921turbulent non-premixed combustiondifferential diffusionflame structureFlamelet progress variable |
| spellingShingle | Ahmed Adam Ayman Elbaz Reo Kai Hiroaki Watanabe A Numerical Investigation of the Flame Characteristics of a CH<sub>4</sub>/NH<sub>3</sub> Blend Under Different Swirl Intensity and Diffusion Models Energies turbulent non-premixed combustion differential diffusion flame structure Flamelet progress variable |
| title | A Numerical Investigation of the Flame Characteristics of a CH<sub>4</sub>/NH<sub>3</sub> Blend Under Different Swirl Intensity and Diffusion Models |
| title_full | A Numerical Investigation of the Flame Characteristics of a CH<sub>4</sub>/NH<sub>3</sub> Blend Under Different Swirl Intensity and Diffusion Models |
| title_fullStr | A Numerical Investigation of the Flame Characteristics of a CH<sub>4</sub>/NH<sub>3</sub> Blend Under Different Swirl Intensity and Diffusion Models |
| title_full_unstemmed | A Numerical Investigation of the Flame Characteristics of a CH<sub>4</sub>/NH<sub>3</sub> Blend Under Different Swirl Intensity and Diffusion Models |
| title_short | A Numerical Investigation of the Flame Characteristics of a CH<sub>4</sub>/NH<sub>3</sub> Blend Under Different Swirl Intensity and Diffusion Models |
| title_sort | numerical investigation of the flame characteristics of a ch sub 4 sub nh sub 3 sub blend under different swirl intensity and diffusion models |
| topic | turbulent non-premixed combustion differential diffusion flame structure Flamelet progress variable |
| url | https://www.mdpi.com/1996-1073/18/15/3921 |
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