Hydrogen-fuelled internal combustion engines (H2ICEs) can reduce the CO2 emissions of the transport sector. In literature, several 3D Computational Fluid Dynamics (CFD) methodologies to simulate H2ICE combustion are used. However, the wide range of conditions under which H2ICEs operate results in a large variety of numerical setups. In this work, Three-Zones Extended Coherent Flamelet Model (ECFM-3Z) and Complex Chemistry with Turbulent Flame Speed Closure model (CC-TFC) are analysed, and a robust methodology is proposed. Flame speed analyses on a combustion plane show that with low turbulence, CC-TFC flame speed tends to the correspondent laminar value, while the ECFM-3Z one tends to zero. As turbulence increases, the ECFM-3Z flame speed becomes higher than CC-TFC one. This behaviour is confirmed by in-cylinder simulations performed on a port fuel injection (PFI) lean H2ICE and on a stoichiometric hydrogen direct injection (HDI) engine, operated at part and full load. With ECFM-3Z, the MFB10-50 is 22 % shorter than experiments with low turbulence and 56 % faster with high turbulence, requiring significant calibration. As for CC-TFC, with a single setup, the MFB10-50 is less than 3 % longer than experiments in both PFI engine conditions and 15 % faster in the HDI engine at part load, with a minor tuning needed only for the full load condition. The different models behaviour with low turbulence affects also the wall-flame interaction, as with ECFM-3Z the flame is artificially quenched when approaching the walls, which leads to a 30 % less heat transferred to the walls compared to CC-TFC.

Predictive capabilities of flamelet combustion models in hydrogen engines across a broad range of operating conditions / Madia, Manuel; Breda, Sebastiano; Berni, Fabio; Cicalese, Giuseppe; Fontanesi, Stefano. - In: FUEL. - ISSN 0016-2361. - 405:(2026), pp. 1-20. [10.1016/j.fuel.2025.136580]

Predictive capabilities of flamelet combustion models in hydrogen engines across a broad range of operating conditions

Madia, Manuel
;
Breda, Sebastiano;Berni, Fabio;Cicalese, Giuseppe;Fontanesi, Stefano
2026

Abstract

Hydrogen-fuelled internal combustion engines (H2ICEs) can reduce the CO2 emissions of the transport sector. In literature, several 3D Computational Fluid Dynamics (CFD) methodologies to simulate H2ICE combustion are used. However, the wide range of conditions under which H2ICEs operate results in a large variety of numerical setups. In this work, Three-Zones Extended Coherent Flamelet Model (ECFM-3Z) and Complex Chemistry with Turbulent Flame Speed Closure model (CC-TFC) are analysed, and a robust methodology is proposed. Flame speed analyses on a combustion plane show that with low turbulence, CC-TFC flame speed tends to the correspondent laminar value, while the ECFM-3Z one tends to zero. As turbulence increases, the ECFM-3Z flame speed becomes higher than CC-TFC one. This behaviour is confirmed by in-cylinder simulations performed on a port fuel injection (PFI) lean H2ICE and on a stoichiometric hydrogen direct injection (HDI) engine, operated at part and full load. With ECFM-3Z, the MFB10-50 is 22 % shorter than experiments with low turbulence and 56 % faster with high turbulence, requiring significant calibration. As for CC-TFC, with a single setup, the MFB10-50 is less than 3 % longer than experiments in both PFI engine conditions and 15 % faster in the HDI engine at part load, with a minor tuning needed only for the full load condition. The different models behaviour with low turbulence affects also the wall-flame interaction, as with ECFM-3Z the flame is artificially quenched when approaching the walls, which leads to a 30 % less heat transferred to the walls compared to CC-TFC.
2026
405
1
20
Predictive capabilities of flamelet combustion models in hydrogen engines across a broad range of operating conditions / Madia, Manuel; Breda, Sebastiano; Berni, Fabio; Cicalese, Giuseppe; Fontanesi, Stefano. - In: FUEL. - ISSN 0016-2361. - 405:(2026), pp. 1-20. [10.1016/j.fuel.2025.136580]
Madia, Manuel; Breda, Sebastiano; Berni, Fabio; Cicalese, Giuseppe; Fontanesi, Stefano
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0016236125023051-main.pdf

Open access

Tipologia: VOR - Versione pubblicata dall'editore
Licenza: [IR] creative-commons
Dimensione 7.58 MB
Formato Adobe PDF
7.58 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1386948
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact