Abstract：The combustion of zero-carbon and low-carbon fuels such as hydrogen, ammonia, electronic fuels, and biofuels is fundamental to achieving carbon neutrality. The efficient utilization of synthetic jet fuels, fused-ring hydrocarbons, and multiple mixed fuels is then important for developing advanced aerospace technologies. Combustion kinetics studies of these new fuels are essential for understanding the combustion process and for developing new combustion modes and burners. The development of predictive kinetics models for these new fuels presents many challenges. On one hand, accurate experimental data under a wide range of conditions, especially under extreme conditions and multi-physics conditions, are needed; on the other hand, effective tools for uncertainty qualification and model optimization are highly desired. This paper reviews the fundamental experimental methods and uncertainty quantification/reverse uncertainty quantification methods developed by the authors' group in recent years. These experimental methods include the acquisition of more detailed speciation information, measurements of fuel ignition data at lower temperatures and species diagnostics in plasma-assisted combustion systems. The analysis methods include model dimensionality reduction, global sensitivity analyses, uncertainty quantification, and model optimization of combustion kinetics models.
杨斌, 刘仲铠, 林柯利, 廖万雄, 王乔. 面向碳中和与先进动力的燃烧反应动力学研究方法进展[J]. 清华大学学报（自然科学版）, 2022, 62(4): 663-677.
YANG Bin, LIU Zhongkai, LIN Keli, LIAO Wanxiong, WANG Qiao. Towards carbon neutrality and advanced engines:Progress in combustion kinetics research methods. Journal of Tsinghua University(Science and Technology), 2022, 62(4): 663-677.
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