%0 Conference Paper
%A Kaddar, Driss
%A Nicolai, Hendrik
%A Schuh, Vinzenz
%A Bähr, Antonia
%A Frouzakis, Christos Emmanouil
%A Bode, Mathis
%A Hasse, Christian
%T Unraveling Turbulent NH3/H2 Flames Using High Performance GPU Computing: A Series of Spectral Element Method-Based High-Fidelity DNS
%V 69
%C Jülich
%I Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
%M FZJ-2025-02501
%B Schriften des Forschungszentrums Jülich IAS Series
%P 245 - 248
%D 2025
%< Proceedings of the 35th Parallel CFD International Conference 2024
%X 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.
%B 35th Parallel CFD International Conference 2024
%C 2 Sep 2024 - 4 Sep 2024, Bonn (Germany)
Y2 2 Sep 2024 - 4 Sep 2024
M2 Bonn, Germany
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%R 10.34734/FZJ-2025-02501
%U https://juser.fz-juelich.de/record/1042285