Numerical simulation and experimental validation of NO emissions in a heavy-duty H2DI engine considering injector needle dynamics and multi-cycle analysis

Abstract Hydrogen direct-injection engines offer a promising pathway for decarbonizing heavy-duty transportation, but accurate prediction of mixture formation and NO $$_x$$ emissions remains challenging due to complex injector dynamics and strong cycle-to-cycle variability. This work presents a comprehensive computational and experimental investigation of supersonic H $$_2$$ direct injection, mixing, combustion, and NO formation in a single-cylinder heavy-duty hydrogen engine operated at 1100 rpm and $$\lambda $$ = 2.6. A detailed three-dimensional CFD model is developed, coupling a pressure-based injection boundary condition with a realistic Bosch F2 prototype injector needle-lift profile to capture valve-bounce effects. The model is validated against measured in-cylinder pressure, fuel and air mass, and NO emission data. Multi-cycle combustion behavior and NO emission variability are analyzed using the concurrent perturbation method (CPM), with 20 statistically independent realizations at reduced computational cost. Results show that near-spark mixtures with higher fuel concentration accelerate flame propagation and increase peak NO by a factor of two (76 ppm vs. 32 ppm). Simulations reveal that NO forms predominantly in local pockets of high fuel concentration, with turbulent flame speeds of 11–22 m/s during the early combustion phase. Predicted exhaust-port NO levels agree qualitatively with experiments, though unsteady RANS tends to overpredict NO due to limited small-scale mixing. The study demonstrates that resolving the injector flow rather than approximating boundary conditions, combined with CPM can effectively capture hydrogen combustion dynamics and emission variability.

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Publication Details

Journal
Automotive and Engine Technology
Published
2026-01-08
DOI
https://doi.org/10.1007/s41104-025-00165-7
Primary Topic
Advanced Combustion Engine Technologies
Type
article
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article

Numerical simulation and experimental validation of NO emissions in a heavy-duty H2DI engine considering injector needle dynamics and multi-cycle analysis

Manuel Bucherer, Kelly Senecal, Sameera Wijeyakulasuriya, Thai An Bui et al.
Automotive and Engine Technology
Advanced Combustion Engine Technologies
article

Numerical simulation and experimental validation of NO emissions in a heavy-duty H2DI engine considering injector needle dynamics and multi-cycle analysis

Manuel Bucherer, Kelly Senecal, Sameera Wijeyakulasuriya, Thai An Bui, Mingyi Liang, Marcel Reinbold, Thomas Koch
article en

Abstract

Abstract Hydrogen direct-injection engines offer a promising pathway for decarbonizing heavy-duty transportation, but accurate prediction of mixture formation and NO $$_x$$ emissions remains challenging due to complex injector dynamics and strong cycle-to-cycle variability. This work presents a comprehensive computational and experimental investigation of supersonic H $$_2$$ direct injection, mixing, combustion, and NO formation in a single-cylinder heavy-duty hydrogen engine operated at 1100 rpm and $$\lambda $$ = 2.6. A detailed three-dimensional CFD model is developed, coupling a pressure-based injection boundary condition with a realistic Bosch F2 prototype injector needle-lift profile to capture valve-bounce effects. The model is validated against measured in-cylinder pressure, fuel and air mass, and NO emission data. Multi-cycle combustion behavior and NO emission variability are analyzed using the concurrent perturbation method (CPM), with 20 statistically independent realizations at reduced computational cost. Results show that near-spark mixtures with higher fuel concentration accelerate flame propagation and increase peak NO by a factor of two (76 ppm vs. 32 ppm). Simulations reveal that NO forms predominantly in local pockets of high fuel concentration, with turbulent flame speeds of 11–22 m/s during the early combustion phase. Predicted exhaust-port NO levels agree qualitatively with experiments, though unsteady RANS tends to overpredict NO due to limited small-scale mixing. The study demonstrates that resolving the injector flow rather than approximating boundary conditions, combined with CPM can effectively capture hydrogen combustion dynamics and emission variability.

Automotive and Engine Technology
Karlsruhe Institute of Technology (DE), Convergent Science (United States) (US)
Openalex Percentile: Top 94%
Advanced Combustion Engine Technologies
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