Skip to content Skip to footer



High Fidelity Virtual Engine

A highly sophisticated 1-D engine simulation tool for the thermodynamic and flow processes in the combustion engine and its peripherals.

Equipped with advanced combustion and emission formation submodels, Gasdyn supports engineers extending the limits of the conventional combustion engine.

High fidelity virtual engine


  • Performance prediction and optimization
  • Noise reduction
  • Combustion and Emission prediction and optimization
  • Pre-calibration
  • Driving cycles
  • Alternative fuels (H2, DME, Ethanol, Methanol, Ammonia, CNG, LNG,…)
  • Boundary condition generation for 3D-CFD simulation
  • Gasdyn-LibICE 1D-3D coupled simulations

Efficiency predicted by innovation

  • Robust solvers supporting accurate prediction of flow, gas exchange and tracking of chemical species in the exhaust system.
  • Advanced combustion modeling for several fuel types.
  • Kinetic and phenomenological approaches for pollutant formation prediction.
  • Kinetic approach for knock onset prediction.
  • Turbocharging architecture and air management system.
  • Exhaust after-treatment systems.
  • Non-linear 1D modeling for the acoustical performance of muffling pipe systems.
  • Integrated 1D/3D simulations, with hybrid 1D-3D computational domains, for accurate wave motion prediction in complex geometries.


  • Automotive OEMs
  • Engine suppliers
  • Exhaust system suppliers
  • Engineering and consulting services
  • Research institutions

Extensively validated

Gasdyn has been validated over the last 25 years in the framework of industrial partnerships and cutting-edge research projects.

Fluid-dynamic model

  • Fundamental equations in strong conservative form for 1D, unsteady, reacting flows in engine ducts
  • Reactions of species in the flow (TWC, SCR)
  • 1D-3D coupling

Spark Ignition combustion model

  • Two-zone approach with burnt gas stratification
  • NOx, CO and HC submodels
  • Knock model with two-step approach, based on tabulation of detailed chemistry for all fuels available
  • Wiebe or double-Wiebe combustion model
  • Predictive flame area combustion model including effects of fuel type and turbulence
  • Multi fuel approach: E5, E10, E85, CNG, LPG, H2, Ethanol, Methanol.

Compression Ignition combustion model

  • Constant equivalence ratio multi-zone model for mixing process and tabulated detailed chemistry for the ignition delay (from fuel injection parameters)
  • NOx thermal model within multi-zone approach
  • Multi fuel approach: Diesel, Ammonia, DME

Acoustics and Noise models

  • Prediction of Transmission Loss and Transfer Function for an isolated silencer
  • Prediction of engine performance and sound pressure level simultaneously

Privacy Policy

Fluid-dynamics and 1D-3D coupling
Della Torre, A., Montenegro, G., Cerri, T., and Onorati, A., A 1D/Quasi-3D Coupled Model for the Simulation of I.C. Engines: Development and Application of an Automatic Cell-Network Generator, SAE Int. J. Engines 10(2):2017. Montenegro, G., Cerri, T., Della Torre, A., Onorati, A. et al., Fluid Dynamic Optimization of a Moto3TM Engine by Means of 1D and 1D-3D Simulations, SAE Int. J. Engines 9(1):2016 Onorati A., Ferrari G, D’Errico G., Fluid dynamic modeling of the gas flow with chemical specie transport through the exhaust manifold of a four cylinder s.i. engine, SAE paper n. 1999-01- 0557, 1999.
Ballerini, A., D’Errico, G., Onorati, A., and Tamborski, M., “Extension and Validation of a Constant Equivalence Ratio Multi-Zone Approach to DME Combustion in Vessels and CI Engines,” SAE Technical Paper 2023-01-0193, 2023. D’Errico G., Onorati A, Ellgas S., 1D thermo-fluid dynamic modelling of an S.I. single-cylinder H2 engine with cryogenic port injection, International Journal of Hydrogen Energy 33 (2008) 5829 – 5841. D’Errico G., Cerri T., Lucchini T., Development and Application of S.I. Combustion Models for Emissions Prediction, SAE Int. Congress & Exp., Detroit, Michigan, 2006.
Pollutant emissions prediction and driving cycle simulation
Marinoni A.M., Onorati A., Montenegro G., Sforza L., Cerri T., Olmeda P. Dreif A., RDE cycle simulation by 0D/1D models to investigate IC engine performance and cylinder-out emissions, International J of Engine Research, 2023;24(7):3085-3104. doi:10.1177/14680874221141936. Marinoni, A., Tamborski, M., Cerri, T.; Montenegro, G., D’Errico, G., Onorati, A., Piatti, E., Pisoni, E.E., 0D/1D Thermo-Fluid Dynamic Modeling Tools for the Simulation of Driving Cycles and the Optimization of IC Engine Performances and Emissions, Appl. Sci. 2021, 11, 8125. Cerri, T., D’Errico, G., Montenegro, G., Onorati, A. et al., A Novel 1D Co-Simulation Framework for the Prediction of Tailpipe Emissions under Different IC Engine Operating Conditions, SAE Technical Paper 2019-24-0147, 2019. D’Errico G., Ferrari G., Onorati A., Cerri T., Modeling the Pollutant Emissions from a S. I. Engine, SAE Int. Congress & Exp., Detroit, Michigan, 2002, SAE Transaction, Journal of Fuels and Lubricants, 2003.