Understanding the intrinsic instabilities of hydrogen flames is crucial for achieving net zero emissions. Direct Numerical Simulation (DNS) serves as a pivotal tool for this purpose, despite its high computational cost. With advancements in High Performance Computing (HPC) shifting towards GPUs, the deficient reactant model has been integrated into the NekRS framework to improve efficiency. This study validates the deficient reactant thermochemical model within the low-Mach number governing equations in NekRS. In addition, we present the strong scaling performance of this implementation.

DNS OF INTRINSICALLY UNSTABLE 3D FLAMES USING DEFICIENT REACTANT THERMOCHEMISTRY: VALIDATION AND SCALING IN NEKRS / Kavari, Hamid; Lapenna, Pasquale Eduardo; Bode, Mathis; Mira, Daniel; Creta, Francesco. - (2024). (Intervento presentato al convegno ParCFD 2024 tenutosi a Bonn, Germany).

DNS OF INTRINSICALLY UNSTABLE 3D FLAMES USING DEFICIENT REACTANT THERMOCHEMISTRY: VALIDATION AND SCALING IN NEKRS

Kavari, Hamid
Primo
;
Lapenna, Pasquale Eduardo
Secondo
;
Creta, Francesco
Ultimo
2024

Abstract

Understanding the intrinsic instabilities of hydrogen flames is crucial for achieving net zero emissions. Direct Numerical Simulation (DNS) serves as a pivotal tool for this purpose, despite its high computational cost. With advancements in High Performance Computing (HPC) shifting towards GPUs, the deficient reactant model has been integrated into the NekRS framework to improve efficiency. This study validates the deficient reactant thermochemical model within the low-Mach number governing equations in NekRS. In addition, we present the strong scaling performance of this implementation.
2024
ParCFD 2024
Intrinsic Flame Instability, Premixed Combustion, DNS, Flame Strain and Stretch, Thermo-Diffusive Instability
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
DNS OF INTRINSICALLY UNSTABLE 3D FLAMES USING DEFICIENT REACTANT THERMOCHEMISTRY: VALIDATION AND SCALING IN NEKRS / Kavari, Hamid; Lapenna, Pasquale Eduardo; Bode, Mathis; Mira, Daniel; Creta, Francesco. - (2024). (Intervento presentato al convegno ParCFD 2024 tenutosi a Bonn, Germany).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1726936
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