Predicting NOx emissions from ammonia engines – Fuel and thermal effects

Ammonia, a promising zero-carbon fuel, faces engine application challenges from high NOx and ammonia slip. A key knowledge gap remains in predicting NOx and ammonia slip with chemical kinetic mechanisms within complex engine environments, beyond simple metrics. This research evaluates 14 ammonia combustion mechanisms in a spark-ignition (SI) engine model, using a two-zone thermodynamic approach. Experimental data from stoichiometric pure ammonia combustion in a research engine validate NOx predictions. The analysis details NOx formation, NH 3 slip, NO production rates, and differentiates thermal-NOx from fuel-NOx. While most mechanisms predict NOx within 20 % error, those by Otomo, Stagni, and Nakamura show superior accuracy. Furthermore, a significant divergence in N 2 O predictions was found; only the Konnov mechanism yielded plausible concentrations (14–24 ppm), exposing a common limitation in other models. This study identifies thermal-NOx as ∼75 % of total NOx, offering vital insights for targeted emission control and guiding mechanism selection for engine development. • Thermal-NOx constitutes∼75 % of total NOx from NH 3 stoichiometric combustion. • Otomo, Stagni & Nakamura mechanisms show high predictive accuracy for NOx. • Fourteen kinetic mechanisms were validated with SI engine experimental data. • Konnov mechanism predicts plausible N 2 O emissions.

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Publication Details

Journal
International Journal of Hydrogen Energy
Published
2025-10-21
DOI
https://doi.org/10.1016/j.ijhydene.2025.150734
Citations
4
Primary Topic
Advanced Combustion Engine Technologies
Type
article
Field-Weighted Citation Impact
2.87
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article

Predicting NOx emissions from ammonia engines – Fuel and thermal effects

Jonathan Hall, Nikhil Dilip Khedkar, A. Tsolakis, Alexis Cova‐Bonillo et al.
4 citations
International Journal of Hydrogen Energy
Advanced Combustion Engine Technologies
2.87
article

Predicting NOx emissions from ammonia engines – Fuel and thermal effects

Jonathan Hall, Nikhil Dilip Khedkar, A. Tsolakis, Alexis Cova‐Bonillo, Pedro Gabana, J.M. Herreros, Alasdair Cairns, Mengfei Wu, Soheil Zeraati-Rezaei, George Brinklow, Ajith Ambalakatte
article en
4 citations

Abstract

Ammonia, a promising zero-carbon fuel, faces engine application challenges from high NOx and ammonia slip. A key knowledge gap remains in predicting NOx and ammonia slip with chemical kinetic mechanisms within complex engine environments, beyond simple metrics. This research evaluates 14 ammonia combustion mechanisms in a spark-ignition (SI) engine model, using a two-zone thermodynamic approach. Experimental data from stoichiometric pure ammonia combustion in a research engine validate NOx predictions. The analysis details NOx formation, NH 3 slip, NO production rates, and differentiates thermal-NOx from fuel-NOx. While most mechanisms predict NOx within 20 % error, those by Otomo, Stagni, and Nakamura show superior accuracy. Furthermore, a significant divergence in N 2 O predictions was found; only the Konnov mechanism yielded plausible concentrations (14–24 ppm), exposing a common limitation in other models. This study identifies thermal-NOx as ∼75 % of total NOx, offering vital insights for targeted emission control and guiding mechanism selection for engine development. • Thermal-NOx constitutes∼75 % of total NOx from NH 3 stoichiometric combustion. • Otomo, Stagni & Nakamura mechanisms show high predictive accuracy for NOx. • Fourteen kinetic mechanisms were validated with SI engine experimental data. • Konnov mechanism predicts plausible N 2 O emissions.

International Journal of Hydrogen EnergyVol. 187
Universidad de Valladolid (ES), University of Nottingham (GB), National Power (United Kingdom) (GB), University of Birmingham (GB)
Openalex Percentile: Top 8%
Advanced Combustion Engine Technologies
2.87
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