Technical Paper
Comparison of the Predictive Capabilities of Chemical Kinetic Models for Hydrogen Combustion Applications
2024-04-09
2024-01-2116
Recent legislation pledging to ban the sale of new petrol and diesel vehicles from 2035 has shifted the focus of internal combustion engine research towards alternative fuels with net zero tailpipe emissions such as hydrogen. This has in turn resulted in the necessity for accurate predictive modelling of the hydrogen combustion and autoignition processes to assist with the design and development of hydrogen internal combustion engines in the computational domain. Typically, the models for these processes rely respectively on laminar flame speed datasets to calculate the rate of fuel burn as well as ignition delay time datasets to estimate autoignition timing. These datasets are generated using chemical kinetic mechanisms available in the literature.