Scalable high-fidelity simulations of reacting multiphase flows at transcritical pressure

Solving a scalability problem through dynamic multi-level parallelization

We will perform unprecedented large-eddy simulations (LES) of high-pressure liquid-fuel injection and reacting multiphase flows in modern energy conversion systems, such as rocket engines, gas turbines and Diesel engines, to provide detailed insight into high-pressure injection phenomena and contribute to the solid physical understanding necessary to further improve the efficiency of these technical systems.

For this purpose, we recently developed a two-phase model based on cubic equations of state and vapor-liquid equilibrium calculations, which can represent supercritical states and multi-component subcritical two-phase states, and an efficient finite-rate chemistry model, which can accurately predict ignition and the transition between deflagration and detonation.

However, combining these readily available models efficiently in a single high-fidelity multi-physics simulation is challenging. With any classical domain decomposition, their uneven computational intensity severely limits the scalability of the simulation as described by Amdahl’s and Gustafson’s laws.

During this project, we will solve this scalability problem through a dynamic multi-level parallelization, which will be implemented in form of a generic shared library for scalable high-performance multi-physics simulations. The library will be integrated into our existing and next-generation flow solvers and is anticipated to have a major impact on other multi-physics applications that require massively parallel high-performance computing.

Participating organisations

Netherlands eScience Center
Delft University of Technology
Natural Sciences & Engineering
Natural Sciences & Engineering

Impact

Output

Team

Gijs van den Oord
Gijs van den Oord
Lead RSE
Netherlands eScience Center
MFA
Mohamad Fathi Azarkhavarani
PhD student
Delft University of Technology
Nicolas Renaud
eScience Coordinator
Netherlands eScience Center
Rena Bakhshi
Rena Bakhshi
Programme Manager
Netherlands eScience Center
SH
Stefan Hickel
Principal investigator
Delft University of Technology
Victor Azizi
Victor Azizi
eScience Research Engineer
Netherlands eScience Center

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