Contribution to a conference proceedings/Contribution to a book

FZJ-2025-02501

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Unraveling Turbulent NH3/H2 Flames Using High Performance GPU Computing: A Series of Spectral Element Method-Based High-Fidelity DNS

Kaddar, D. ; Nicolai, H. (Corresponding author) ; Schuh, V. ; Bähr, A. ; Frouzakis, C. E. ; Bode, M.FZJ* ; Hasse, C.

2025
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag Jülich

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Please use a persistent id in citations: doi:10.34734/FZJ-2025-02501

Abstract: 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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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. Inno4Scale - Innovative Algorithms for Applications on European Exascale Supercomputers (101118139) (101118139)

Appears in the scientific report 2025

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