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首页> 外文期刊>Energy Conversion & Management >Numerical simulation of nanodroplet generation of water vapour in high-pressure supersonic flows for the potential of clean natural gas dehydration
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Numerical simulation of nanodroplet generation of water vapour in high-pressure supersonic flows for the potential of clean natural gas dehydration

机译：清洁天然气脱水潜力的高压超声波流量中纳米蒸汽的数值模拟

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The present study evaluates the potential of clean natural gas dehydration using nonequilibrium condensations in high-pressure supersonic flows. A computational fluid dynamics model is developed to study the formation of massive nanodroplets due to the phase change process. The impact of thermodynamic models on nonequilibrium condensations in supersonic flows is analysed based on the ideal gas and real gas equations of state. The sensitivity of high-pressure supersonic separations under different inlet temperatures is discussed in detail, including the influences on gas processing capacities and nonequilibrium condensation processes. The results show that an ideal gas modelling not only predicts the earlier onset of nonequilibrium condensations but also under-predicts the liquid fraction by 61% compared to the real gas model. The decreasing inlet temperatures improve gas processing capacities and predict the earlier condensing onset inside high-pressure supersonic flows. The liquid fraction can be enhanced by 21% with a decrease of 10 K inlet temperature from 593 K and 583 K. It suggests that the decreasing inlet temperature could improve high-pressure supersonic separations from the view of the processing capacity and separation performance.
机译：本研究评估了在高压超声波流动中使用非QuiBibiBribim凝结的清洁天然气脱水的潜力。开发了一种计算流体动力学模型，以研究由于相变工艺而形成大规模纳米辊。基于理想的气体和实际气体方程，分析了在超音流中的热力学模型对超声波非醌凝结的影响。详细讨论了不同入口温度下的高压超声波分离的敏感性，包括对气体处理能力和非挤压凝结过程的影响。结果表明，与真实气体模型相比，理想的气体建模不仅预测不足的凝结凝结较早的凝结缩合，而且预测液体分数为61％。减小的入口温度可提高气体处理能力，并预测在高压超声波流动内部的较早的冷凝发作。液体馏分可以增强21％，随着593 k和583k的降低，10 k入口温度降低。它表明，从加工能力和分离性能的角度来看，降低的入口温度可以改善高压超声波分离。

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