Numerical simulation of nanodroplet generation of water vapour in high-pressure supersonic flows for the potential of clean natural gas dehydration

Title

Numerical simulation of nanodroplet generation of water vapour in high-pressure supersonic flows for the potential of clean natural gas dehydration
Energy Conversion and Management

Subject

Natural gas
Phase change
Clean energy
Nanodroplet
Nonequilibrium condensation
Supersonic flow

Description

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.

Date

2021-03-01

Contributor

Wen, Chuang
Ding, Hongbing
Yang, Yan

Type

Journal Article

Identifier

26T8XT9G
0196-8904
10.1016/j.enconman.2021.113853

Collection

Citation

“Numerical simulation of nanodroplet generation of water vapour in high-pressure supersonic flows for the potential of clean natural gas dehydration,” Lamar University Midstream Center Research, accessed May 14, 2024, https://lumc.omeka.net/items/show/2066.

Output Formats