We investigate to make a more sustainable world…

PTG FOCUSES

Development of advanced computational models and simulation techniques for the study and understanding of complex systems in propulsion and power generation systems. Its activities encompass from high-fidelity physical modeling and data-driven methods to numerical methods and High-Performance Computing (HPC) in Exascale computations.
PTG aligns with European strategies for decarbonization in the aviation and energy sectors.

Fundamentals of
Hydrogen combustion

Development of complex physics models for simulation and understanding of hydrogen flames

Development of complex physics models for simulation and understanding of hydrogen flames

  • Thermodiffusive instabilities

  • Preferential diffusion phenomena

  • Thermoacoustic instabilities

Spray flames

Development of computational framework to simulate multiphysics phenomena in sprays with Eulerian-Lagrangian approaches

Development of complex physics models for simulation and understanding of hydrogen flames

  • Fundamentals of evaporation and spray combustion
  • Injection models for dispersed phase simulations
  • Swirl spray flames

High-fidelity simulations
of combustion systems

Computations of combustion system using Computational Fluid Dynamics (CFD) with Large Eddies Simulation (LES) approaches and combustion models based on Finite Rate and Tabulated Chemistry.

Development of complex physics models for simulation and understanding of hydrogen flames

  • Gas turbine applications: LPP, RQL, swirl-stabilized and jet flames.
  • Combustion of novel fuels for transportation (H2, SAF).
  • Prediction of pollutant formation in aeroengines (soot, NOx, CO).
  • Reactive supersonic mixing layers
  • Furnace combustion and radiative heat transfer

HPC and numerical methods for
reactive flows

Development and implementation of numerical methods and computational strategies for optimizing CFD computations.

Development of complex physics models for simulation and understanding of hydrogen flames

  • Advanced numerical schemes.
  • Parallelization and GPU acceleration.

Artificial intelligence
and applications

Leveraging of AI, Machine Learning and Data-Driven methods towards decarbonisation of propulsion and energy.

Development of complex physics models for simulation and understanding of hydrogen flames

  • Surrogate modelling of complex fuels
  • Reduced order models for numerical combustion.

  • Digital twins for furnace systems.
  • Modal decomposition techniques.

Engine exhaust characterization
and contrails formation

Studies based on passive scalar transport and interaction with aerodynamic structures from engine and aircraft wakes

Development of complex physics models for simulation and understanding of hydrogen flames

  • Pollutant dispersion under aerodynamic wakes
  • Contrails behaviour
  • Crystal formation in contrail wakes

Electromobility and
Power-to-X applications

Behaviour of storage systems for hybrid and electric transportation systems.

Development of complex physics models for simulation and understanding of hydrogen flames

  • Fuel cells
  • Batteries and thermal runaway