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| Home > Publications database > Unraveling Turbulent NH3/H2 Flames Using High Performance GPU Computing: A Series of Spectral Element Method-Based High-Fidelity DNS > print |
| 001 | 1042285 | ||
| 005 | 20250514202227.0 | ||
| 024 | 7 | _ | |2 datacite_doi |a 10.34734/FZJ-2025-02501 |
| 037 | _ | _ | |a FZJ-2025-02501 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-HGF)0 |a Kaddar, Driss |b 0 |
| 111 | 2 | _ | |a 35th Parallel CFD International Conference 2024 |c Bonn |d 2024-09-02 - 2024-09-04 |g ParCFD 2024 |w Germany |
| 245 | _ | _ | |a Unraveling Turbulent NH3/H2 Flames Using High Performance GPU Computing: A Series of Spectral Element Method-Based High-Fidelity DNS |
| 260 | _ | _ | |a Jülich |b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag |c 2025 |
| 295 | 1 | 0 | |a Proceedings of the 35th Parallel CFD International Conference 2024 |
| 300 | _ | _ | |a 245 - 248 |
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| 490 | 0 | _ | |a Schriften des Forschungszentrums Jülich IAS Series |v 69 |
| 520 | _ | _ | |a Ammonia-hydrogen blends are crucial for future carbon-free combustion systems, with staged-combustion technologies like rich-quench-lean being proposed to minimize emissions. However, the combustion behavior of turbulent rich ammonia-hydrogen mixtures is not well understood, particularly regarding phenomena like partial cracking, hydrogen slip, and post-flame stratification. Recent HPC advancements, particularly in GPU-based systems, enable combustion DNS beyond academic configurations. Utilizing nekCRF, a new GPU-based spectral element solver based on nekRS, we perform finite-rate chemistry DNS of a rich, turbulent premixed jet flame. The analysis focuses on NH3 /H2 interaction, revealing residual H2, minimized NH3 slip, and enhanced heat release through turbulent mixing. By leveraging GPU acceleration and employing a novel spectral element solver, this research not only advances our understanding of ammonia combustion but also showcases a paradigm shift in computational efficiency, offering a promising avenue for developing sustainable energy solutions. |
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| 536 | _ | _ | |0 G:(EU-Grant)101118139 |a Inno4Scale - Innovative Algorithms for Applications on European Exascale Supercomputers (101118139) |c 101118139 |f HORIZON-EUROHPC-JU-2022-ALG-02 |x 1 |
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| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Nicolai, Hendrik |b 1 |e Corresponding author |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Schuh, Vinzenz |b 2 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Bähr, Antonia |b 3 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Frouzakis, Christos Emmanouil |b 4 |
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| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Hasse, Christian |b 6 |
| 770 | _ | _ | |z 978-3-95806-819-3 |
| 773 | _ | _ | |a 10.34734/FZJ-2025-02501 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1042285/files/158.pdf |y OpenAccess |
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