High-fidelity LES of ammonia spray evaporation and mixing under high-temperature and high-pressure conditions

IF 9.4 1区 工程技术 Q1 ENERGY & FUELS
Yanzhi Zhang, Ming Jia, Yachao Chang, Yaopeng Li
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引用次数: 0

Abstract

This study addresses the challenge of accurately predicting ammonia spray primary atomization, evaporation, and mixing under high-temperature and high-pressure conditions. The objectives are to improve modeling fidelity and to clarify the governing mechanisms of ammonia evaporating sprays. High-fidelity large-eddy simulations (LES) were performed using a Blob injection model coupled with a Kelvin–Helmholtz (KH) breakup model to represent primary breakup. The performance and grid sensitivity of this approach were systematically compared against a random model. Differences between ammonia and diesel sprays were quantified. A parametric analysis was conducted, and the resulting effects on local equivalence ratio and temperature of ammonia spray were summarized for the first time. The results show that the Blob–KH model provides more accurate predictions and is less sensitive to grid resolution than the random model. Ammonia spray exhibits a substantially higher evaporation rate than diesel spray, especially in the near-nozzle region, followed by a rapid decrease in the equivalence ratio in both axial and radial directions. Ammonia spray tends to fall below the stoichiometric ratio, resulting in a much larger lean region compared to diesel spray. Higher ambient temperatures markedly accelerate evaporation yet have limited impact on mixing extent; increased injection pressure intensifies turbulence and expands the lean region; larger nozzle diameters enrich the equivalence ratio and enhance spray cooling; and higher ambient pressures promote a leaner mixture while reducing spray cooling. These findings offer key insights into evaporating ammonia spray behavior, supporting the advancement of ammonia-fueled engine technologies.
高温高压条件下氨喷雾蒸发混合的高保真LES
该研究解决了在高温高压条件下准确预测氨喷雾一次雾化、蒸发和混合的挑战。目的是提高模型的保真度,并阐明氨蒸发喷雾的控制机制。采用Blob注入模型和Kelvin-Helmholtz (KH)破裂模型进行高保真大涡模拟(LES)。将该方法的性能和网格灵敏度与随机模型进行了系统比较。对氨和柴油喷雾的差异进行了量化。通过参数分析,首次总结了结果对氨喷雾局部等效比和温度的影响。结果表明,与随机模型相比,Blob-KH模型的预测精度更高,且对网格分辨率的敏感性较低。氨喷雾的蒸发速率明显高于柴油喷雾,特别是在近喷嘴区域,随后在轴向和径向上的等效比都迅速下降。氨喷雾往往低于化学计量比,导致一个更大的精益区域相比,柴油喷雾。较高的环境温度显著加速蒸发,但对混合程度的影响有限;注入压力的增加加剧了湍流,扩大了稀薄区域;较大的喷嘴直径丰富了等效比,增强了喷雾冷却;更高的环境压力会使混合气更稀薄,同时减少喷雾冷却。这些发现为蒸发氨喷雾行为提供了关键见解,支持了氨燃料发动机技术的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy
Energy 工程技术-能源与燃料
CiteScore
15.30
自引率
14.40%
发文量
0
审稿时长
14.2 weeks
期刊介绍: Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
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