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首页> 外文期刊>Cogent Environmental Science >Numerical modelling of pollutant formation in a lifted methane–air vertical diffusion flame
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Numerical modelling of pollutant formation in a lifted methane–air vertical diffusion flame

机译：甲烷-空气垂直扩散火焰中污染物形成的数值模拟

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A comparison of turbulence and combustion models have been performed for predicting CO_(2) and NO_(x ) formation from a methane diffusion flame firing vertically upwards. The flow field has been modeled using the Reynolds-Averaged Navier–Stokes equation incorporating the k -ε realizable turbulence closure model, the k -ω shear-stress transport (SST) turbulence model and the transitional SST turbulence model and the three models have been compared. Combustion was modeled using the unsteady Stationary Laminar Flamelet Model (SLFM), the Eulerian Particle Flamelet Model (EPFM), and the Pollutant Model (PM) and the three models have also been compared. Numerical predictions show good agreement with experimental data. Furthermore, the experimental data showed that the k -ε realizable turbulence model and the k -ω SST turbulence model performed better than transitional SST model in predicting the pollutant species from the flame. The result also shows that the PM performed better than flamelet models in predicting the combustion characteristics of NO_(X) in the flame.
机译：已经进行了湍流模型和燃烧模型的比较，以从垂直向上燃烧的甲烷扩散火焰中预测CO_（2）和NO_（x）的形成。流场已使用Reynolds平均Navier–Stokes方程建模，该方程包含 k-ε可实现的湍流闭合模型， k-ω剪应力传递（SST）湍流模型并比较了过渡SST湍流模型和这三个模型。使用非稳态平稳层流小火焰模型（SLFM），欧拉粒子小火焰模型（EPFM）和污染物模型（PM）对燃烧进行了建模，并比较了这三个模型。数值预测表明与实验数据吻合良好。此外，实验数据表明，在预测火焰中的污染物种类方面，i -k -i可实现的湍流模型和k-i-ωSST湍流模型的性能优于过渡SST模型。结果还表明，在预测火焰中NO_（X）的燃烧特性方面，PM的性能优于火焰模型。

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