Medium speed lean hydrogen engine modelling and validation

Hydrogen spark-ignition direct-injection engines result in no carbon emissions at use, but NO X remains a challenge. This study demonstrates that with lean combustion (ϕ < 0.38), in-cylinder NO X can be reduced to a quarter of the current maritime regulatory limit. An original contribution of this work is the use of species-resolved emissions formation across multiple engine load conditions. A novel, chemically detailed combustion modelling framework was developed in CHEMKIN-Pro, incorporating the evolution of the CRECK C1–C3 NO X mechanism, for improved high-pressure accuracy. The framework was extensively validated using crank-angle-resolved data across 9–18 bar loads. The model accurately reproduced pressure traces, heat release angles, and NO X . Mechanistic analysis revealed a shift from thermal Zeldovich NO X to intermediate-species (notably N 2 O-driven), as equivalence ratio and pressure varied. The findings highlighted the use of a high-fidelity chemical kinetic modelling framework, not only to match experimental results, but to gain physically grounded insight into actionable near-zero emission strategies. • Developed validated CHEMKIN-Pro medium speed hydrogen engine modelling framework. • Experimental lean engine combustion (ϕ < 0.38) results across 9–18 bar loads. • High engine indicated thermal efficiencies of 45–50 % with stable combustion. • Novel mechanistic NO x insight, revealing thermal-to-intermediate transitions. • In-cylinder NO x remained below 1/4th of the maritime Tier III emissions.

Authors

Institutions

Publication Details

Journal
International Journal of Hydrogen Energy
Published
2025-09-01
DOI
https://doi.org/10.1016/j.ijhydene.2025.151268
Citations
2
Primary Topic
Advanced Combustion Engine Technologies
Type
article
Field-Weighted Citation Impact
1.44

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Medium speed lean hydrogen engine modelling and validation

Jesse T.S. Allan, Angad Singh Panesar, Elisa Wylie
2 citations
International Journal of Hydrogen Energy
Advanced Combustion Engine Technologies
1.44
article

Medium speed lean hydrogen engine modelling and validation

Jesse T.S. Allan, Angad Singh Panesar, Elisa Wylie
article en
2 citations

Abstract

Hydrogen spark-ignition direct-injection engines result in no carbon emissions at use, but NO X remains a challenge. This study demonstrates that with lean combustion (ϕ < 0.38), in-cylinder NO X can be reduced to a quarter of the current maritime regulatory limit. An original contribution of this work is the use of species-resolved emissions formation across multiple engine load conditions. A novel, chemically detailed combustion modelling framework was developed in CHEMKIN-Pro, incorporating the evolution of the CRECK C1–C3 NO X mechanism, for improved high-pressure accuracy. The framework was extensively validated using crank-angle-resolved data across 9–18 bar loads. The model accurately reproduced pressure traces, heat release angles, and NO X . Mechanistic analysis revealed a shift from thermal Zeldovich NO X to intermediate-species (notably N 2 O-driven), as equivalence ratio and pressure varied. The findings highlighted the use of a high-fidelity chemical kinetic modelling framework, not only to match experimental results, but to gain physically grounded insight into actionable near-zero emission strategies. • Developed validated CHEMKIN-Pro medium speed hydrogen engine modelling framework. • Experimental lean engine combustion (ϕ < 0.38) results across 9–18 bar loads. • High engine indicated thermal efficiencies of 45–50 % with stable combustion. • Novel mechanistic NO x insight, revealing thermal-to-intermediate transitions. • In-cylinder NO x remained below 1/4th of the maritime Tier III emissions.

International Journal of Hydrogen EnergyVol. 171
University of Brighton (GB)
Royal Academy of Engineering, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 18%
Advanced Combustion Engine Technologies
1.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Medium speed lean hydrogen engine modelling and validation — Jesse T.S. Allan, Angad Singh Panesar, et al. · International Journal of Hydrogen Energy (2025) | TGRS Research Map | TGRS