Development and optimization of a realistic biodiesel-methanol mechanism based on genetic algorithm

Manyao Xie, Ying Wang and Kaibo Zhang

Renewable Energy, 2025, vol. 250, issue C

Abstract: In this paper, a three-component skeletal mechanism for biodiesel consisting of methyl myristate (MMY), methyl oleate (MOD9D), and methyl linoleate (MOD9D12D) was developed. MMY represented the saturated fatty acid methyl esters in biodiesel, and MOD9D and MOD9D12D represented the unsaturated fatty acid methyl esters. The biodiesel-methanol skeletal mechanism was built by coupling it with methanol mechanism. Then, this reduced mechanism was optimized based on single-objective strengthen elitist genetic algorithm (SEGA). The optimized mechanism (Opt_mech) contained 121 species and 401 reactions. Subsequently, based on experimental data, Opt_mech was validated against ignition delay time (IDT), laminar flame speed (LFS), species concentration and cylinder pressure as well as heat release rate. Results showed that, Opt_mech could well predict the IDTs, LFSs and species concentration of each surrogate, methanol, biodiesel from different feedstocks and their blends with methanol. As for real engine, the simulated cylinder pressure and heat release rate by Opt_mech was consistent with those of measured results under different operating conditions with a discrepancy within 5 %. In addition, ROP analysis results indicated that, the prolongation of the IDTs caused by the increased methanol ratio was attributed to the enhanced reactions (R321, R327) of methanol consumption and the inhibited reactions of biodiesel consumption.

Keywords: Biodiesel skeletal mechanism; Mechanism optimization; Genetic algorithm; Engine simulation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:250:y:2025:i:c:s0960148125009632

DOI: 10.1016/j.renene.2025.123301

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