Evaluation of Flamelet-Based Combustion Models for Hydrogen-Ammonia Spark-Ignition Engines

Besides the electrification of the transport sector, the growing interest in alternative fuels for internal combustion engines represents a promising pathway to effectively decarbonize transportation over the coming decades. Predictive combustion models implemented within CFD frameworks are a critical tool to guide the design of next-generation internal combustion engines fuelled with alternative fuels. Accurate prediction of the combustion heat release process is influenced by multiple interacting parameters, requiring combustion models that can reliably adapt to variations in fuel chemical properties and operating conditions. In this study, two well-established combustion models considered to model combustion development in Spark-Ignition engine, namely the Extended Coherent Flame Model (ECFM) and the G-equation model, are compared to assess their capability to adapt to changes in fuel chemical composition. Both models, based on the flamelet formulation are deliberately tested beyond their nominal validity range in order to highlight their limitations when applied to a broader range of operating conditions in the case of ammonia-hydrogen blends as fuel. The numerical predictions are validated against an extensive experimental dataset obtained from a commercial light duty engine converted to single-cylinder configuration over a wide range of equivalence ratios. Both models require careful calibration of the turbulence–chemistry interaction to account for the large variability in mixture conditions (% vol. hydrogen in the blend, equivalence ratio) investigated. Furthermore, the calibration strategy is analysed in relation to combustion regime classification. Under perfectly premixed operating conditions, as the combustion analysis is unaffected by in-cylinder stratification, the interpretation enables a direct assessment of the turbulence–chemistry interaction modelling.