Benoît Fiorina , Tan Phong Luu , Samuel Dillon , Renaud Mercier , Ping Wang , Lorenzo Angelilli , Pietro Paolo Ciottoli , Francisco E. Hernández–Pérez , Mauro Valorani , Hong G. Im , James C. Massey , Zhiyi Li , Zhi X. Chen , Nedunchezhian Swaminathan , Sebastian Popp , Sandra Hartl , Hendrik Nicolai , Christian Hasse , Andreas Dreizler , David Butz , Robert S. Barlow
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Combustion kinetics were simplified by using tabulated or reduced chemistry methods. Finally, different turbulent combustion modeling strategies were employed, covering geometrical, statistical, and reactor based approaches. Due to this significant scattering of simulation parameters, a conclusion on specific combustion model performance is impossible. However, with ten numerical groups involved in the numerical simulations, a rough statistical analysis is conducted: the average and the standard deviation of the numerical simulation are computed and compared against experiments. This joint numerical study is therefore a partial illustration of the community’s ability to model turbulent combustion. This exercise gives the average performance of current simulations and identifies physical phenomena not well captured today by most modeling strategies. Detailed comparisons between experimental and numerical data along radial profiles taken at different axial positions showed that the temperature field is fairly well captured up to 60 mm from the burner exit. The comparison reveals, however, significant discrepancies regarding CO mass fraction prediction. Three causes may explain this phenomenon. The first reason is the higher sensitivity of carbon monoxide to the simplification of detailed chemistry, especially when multiple combustion regimes are encountered. The second is the bias introduced by artificial thickening, which overestimates the species’ mass production rate. This behavior has been illustrated by manufacturing mean thickened turbulent flame brush from a random displacement of 1-D laminar flame solutions. 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引用次数: 0
摘要
这篇文章介绍了对多级燃烧器配置的联合数值研究。该燃烧器设计由三个同心进气流组成,可按不同的等效比独立运行,允许运行以不同燃烧机制为特征的分层火焰,包括预混、非预混和多机制火焰区。模拟在三种基于不同数值方法的 LES 仿真器上进行。燃烧动力学通过使用制表或还原化学方法进行了简化。最后,采用了不同的湍流燃烧建模策略,包括几何、统计和基于反应器的方法。由于模拟参数非常分散,因此无法就具体的燃烧模型性能得出结论。不过,由于有十个数值小组参与了数值模拟,因此进行了粗略的统计分析:计算了数值模拟的平均值和标准偏差,并与实验进行了比较。因此,这项联合数值研究可以部分说明社会各界建立湍流燃烧模型的能力。这项工作提供了当前模拟的平均性能,并确定了目前大多数建模策略无法很好捕捉的物理现象。对不同轴向位置的径向剖面的实验数据和数值数据进行详细比较后发现,在距离燃烧器出口 60 毫米的范围内,温度场的捕捉相当准确。但是,比较结果显示,在 CO 质量分数预测方面存在显著差异。造成这种现象的原因有三个。第一个原因是一氧化碳对简化详细化学过程的敏感性较高,尤其是在遇到多种燃烧状态时。第二个原因是人工增稠带来的偏差,它高估了该物种的质量产生率。从一维层流火焰溶液的随机位移中制造平均加厚湍流火焰刷就可以说明这种行为。最后一个问题是亚网格尺度火焰皱褶对过滤化学火焰结构的影响,这对建模可能具有挑战性。
A joint numerical study of multi-regime turbulent combustion
This article presents a joint numerical study on the Multi Regime Burner configuration. The burner design consists of three concentric inlet streams, which can be operated independently with different equivalence ratios, allowing the operation of stratified flames characterized by different combustion regimes, including premixed, non-premixed, and multi-regime flame zones. Simulations were performed on three LES solvers based on different numerical methods. Combustion kinetics were simplified by using tabulated or reduced chemistry methods. Finally, different turbulent combustion modeling strategies were employed, covering geometrical, statistical, and reactor based approaches. Due to this significant scattering of simulation parameters, a conclusion on specific combustion model performance is impossible. However, with ten numerical groups involved in the numerical simulations, a rough statistical analysis is conducted: the average and the standard deviation of the numerical simulation are computed and compared against experiments. This joint numerical study is therefore a partial illustration of the community’s ability to model turbulent combustion. This exercise gives the average performance of current simulations and identifies physical phenomena not well captured today by most modeling strategies. Detailed comparisons between experimental and numerical data along radial profiles taken at different axial positions showed that the temperature field is fairly well captured up to 60 mm from the burner exit. The comparison reveals, however, significant discrepancies regarding CO mass fraction prediction. Three causes may explain this phenomenon. The first reason is the higher sensitivity of carbon monoxide to the simplification of detailed chemistry, especially when multiple combustion regimes are encountered. The second is the bias introduced by artificial thickening, which overestimates the species’ mass production rate. This behavior has been illustrated by manufacturing mean thickened turbulent flame brush from a random displacement of 1-D laminar flame solutions. The last one is the influence of the subgrid-scale flame wrinkling on the filtered chemical flame structure, which may be challenging to model.