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Modelling new clean fuel technology

Hydrogen fuel combustion is becoming an increasingly viable technology across a range of applications. This release includes a new lean hydrogen combustion modelling capability in WAVE and WAVE-RT which delivers an accurate predictive engine model designed to address the challenges of simulating hydrogen ignition within internal combustion engines.

Building on previous releases, WAVE and WAVE-RT now have extended capabilities for multi fuel modelling which predict the performance of complex synthetic fuels in areas such as fuel consumption by extending knock and flame speed modelling for different fuel compositions.

Faster, more optimised design for cleaner internal combustion engines

The application of real-time digital twins in WAVE-RT is extended with new real-time thermal modelling allowing development and calibration of the cooling system with real-time results.

In parallel, WAVE is now able to model a wider range of exhaust acoustic mufflers, providing improved workflow for acoustics, particularly suited to motorcycle applications.

As the range of options for modern engines increases, 1D engine models become increasing complex. This release brings in three new creation and troubleshooting tools for more efficient model construction, as well as a robust distributed simulations process to maximise the computational resource available to deliver fast, accurate simulated result in WAVE.