Development and simulation application of a reduced diesel/methane/hydrogen tri-fuel mechanism based on multi-objective optimization and multi-criteria decision-making
Artykuł w czasopiśmie
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| Status: | |
| Autorzy: | Yang Liping, Wang Rui, Qin Wenjin, Hunicz Jacek, Zhang Jiaqiang |
| Dyscypliny: | |
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| Rok wydania: | 2026 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Wolumen/Tom: | 200 |
| Numer artykułu: | 152475 |
| Scopus® Cytowania: | 0 |
| Bazy: | Scopus |
| Efekt badań statutowych | NIE |
| Finansowanie: | This research work is sponsored by the National Natural Science Foundation of China (Grant No. 52171298), the National Foreign Experts Program (G2023180006L), the Natural Science Foundation of Heilongjiang Province (Grant No. ZD2019E003). |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| Hydrogen, as a carbon-neutral fuel, makes diesel/methane/hydrogen tri-fuel blends a promising pathway for decarbonizing diesel engines. The combustion simulation of these engines demands high-precision, compact chemical kinetic mechanisms. To achieve automatic mechanism optimization, this study proposes a framework that combines Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and Entropy Weight-Based Ideal Solution Similarity Sorting Technique (EW-TOPSIS). The framework produced a reconstructed n-dodecane mechanism achieving average absolute relative errors of 15.0 % for ignition delay time (IDT) and 6.9 % for laminar flame speed (LFS) across validation datasets. Coupled with methylcyclohexane and toluene sub-mechanisms, it formed a mechanism comprising 88 species and 443 reactions. The final mechanism in engine simulations across the 10–60 % HAR range, achieving errors within 3 % for peak pressure and 5 % for engine IDT, providing a predictive capability for combustion phasing and emission trends. Finally, kinetic analysis confirmed hydrogen's dual role: inhibiting auto-ignition at low-temperatures while promoting it at high-temperature. |
