Development and simulation application of a reduced diesel/methane/hydrogen tri-fuel mechanism based on multi-objective optimization and multi-criteria decision-making
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Huom! Tiedosto avautuu julkiseksi: 08.12.2027
https://creativecommons.org/licenses/by-nc-nd/4.0/
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©2025 Elsevier. This manuscript version is made available under the Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY–NC–ND 4.0) license, https://creativecommons.org/licenses/by-nc-nd/4.0/
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.
Emojulkaisu
ISBN
ISSN
1879-3487
0360-3199
0360-3199
Aihealue
Kausijulkaisu
International journal of hydrogen energy|200
OKM-julkaisutyyppi
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä (vertaisarvioitu)