甲烷掺氢射流火焰自适应超大涡模拟OA
Very-large eddy simulation of blended methane/hydrogen jet flame
掺氢燃烧作为一种新型的燃烧方式在动力装备低碳化方面具有很高的应用潜力.针对甲烷/氢气掺混燃烧高速射流的场景特点,发展基于 k-ε模型的自适应超大涡模拟(VLES)方法,进一步结合涡耗散概念(EDC)、增厚燃烧(TF)有限速率燃烧模型及小火焰建表燃烧模型,对掺氢燃烧的高精度湍流燃烧数值模拟方法进行验证;针对两类差异显著的经典掺氢燃烧火焰开展数值模拟研究,并与实验及相关数值模拟结果进行详细对比.结果表明:VLES-EDC方法可以较为准确地预测甲烷/氢气掺混火焰的强烈非定常燃烧过程,两类燃烧特性下流场、温度场等预测结果精度较高;针对掺氢燃烧,小火焰建表燃烧模型相比于有限速率燃烧模型的预测精度有所降低,不同燃烧场景下的预测精度需要进行针对性地校核.
As a new type of combustion,hydrogen-enriched combustion has high potential for the application of the decarbonization in power equipment.In the present study,an adaptive very-large eddy simulation(VLES)me-thod based on the k-ε model is developed according to the scenario characteristics of methane/hydrogen blended combustion using high-speed jet.On the basis,combining the eddy dissipation concept(EDC),thickened flame(TF)method,finite rate combustion model and flamelet tabulated combustion model,a high-fidelity turbulent combustion numerical method for hydrogen-blended combustion is developed and verified in detail.Numerical simu-lations are carried out for two different types of classical hydrogen-enriched flames.The simulation predictions are compared with the available experimental and numerical data.The results show that the developed VLES-EDC method can accurately predict the strong unsteady combustion process of methane/hydrogen blended flames,and the prediction results of velocity,temperature,etc.,under the two types of combustion conditions have satisfactory accuracy.For the hydrogen enriched combustion,compared with the finite-rate turbulent combustion model,the prediction accuracy of the flamelet combustion model is reduced,and the prediction accuracy under different com-bustion scenarios needs to be verified accordingly.
范晓静;陈涛;韩省思;王龙飞
南京航空航天大学 能源与动力学院,南京 210016南京航空航天大学 能源与动力学院,南京 210016南京航空航天大学 能源与动力学院,南京 210016南京航空航天大学 能源与动力学院,南京 210016
航空航天
超大涡模拟掺氢燃烧射流火焰柔和燃烧
very-large eddy simulationhydrogen enriched combustionjet flamemoderate or intense low-oxygen dilution combustion
《航空工程进展》 2026 (3)
30-45,16
国家自然科学基金(52376114)清洁高效透平动力装备全国重点实验室课题
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