An energy stable evolution method for simulating two-phase equilibria of multi-component fluids at constant moles, volume and temperature

被引:0
作者
Jisheng Kou
Shuyu Sun
Xiuhua Wang
机构
[1] Hubei Engineering University,School of Mathematics and Statistics
[2] King Abdullah University of Science and Technology,Computational Transport Phenomena Laboratory, Division of Physical Science and Engineering
[3] Xi’an Jiaotong University,School of Mathematics and Statistics
来源
Computational Geosciences | 2016年 / 20卷
关键词
Energy stable; Phase equilibria; VT flash; Multi-component fluid; Adaptive time steps; Mobility; 76T99; 65K99; 49S99;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we propose an energy-stable evolution method for the calculation of the phase equilibria under given volume, temperature, and moles (VT-flash). An evolution model for describing the dynamics of two-phase fluid system is based on Fick’s law of diffusion for multi-component fluids and the Peng-Robinson equation of state. The mobility is obtained from diffusion coefficients by relating the gradient of chemical potential to the gradient of molar density. The evolution equation for moles of each component is derived using the discretization of diffusion equations, while the volume evolution equation is constructed based on the mechanical mechanism and the Peng-Robinson equation of state. It is proven that the proposed evolution system can well model the VT-flash problem, and moreover, it possesses the property of total energy decay. By using the Euler time scheme to discretize this evolution system, we develop an energy stable algorithm with an adaptive choice strategy of time steps, which allows us to calculate the suitable time step size to guarantee the physical properties of moles and volumes, including positivity, maximum limits, and correct definition of the Helmhotz free energy function. The proposed evolution method is also proven to be energy-stable under the proposed time step choice. Numerical examples are tested to demonstrate efficiency and robustness of the proposed method.
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页码:283 / 295
页数:12
相关论文
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