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, HamidPrimo
;Lapenna, Pasquale EduardoSecondo
;Creta, FrancescoUltimo
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.