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.

本研究评估了高压超音速流中使用非平衡缩合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来研究由于相变过程而形成的大量纳米液滴。基于理想气体和真实气体状态方程，分析了热力学模型对超音速流动中非平衡冷凝的影响。详细讨论了在不同入口温度下高压超声分离的灵敏度，包括对气体处理能力和非平衡冷凝过程的影响。结果表明，理想的气体模型不仅可以预测较早的非平衡冷凝现象，而且与真实的气体模型相比，预测的液体分数要低61％。入口温度的降低提高了气体处理能力，并预测了高压超音速流内部的较早凝结现象。通过将进口温度从593 K和583 K降低10 K，可以提高液体分数21％。这表明从处理能力和分离性能的角度来看，降低进口温度可以改善高压超声分离效果。