Abstract

Supercritical carbon dioxide has gradually been becoming an important research subject in the academic field due to the fact that it has a promising application prospect in the field of extraction, precipitation, thermodynamic cycle and chemical reaction. In recent years, the interest in studying the region near the critical point was aroused and a large variation of the physical properties could be detected due to the change of temperature and pressure. The rapid development of molecular simulation technology benefits the traditional experimental methods to study the variations of relevant physical properties in the near-critical region. In order to find out the Widom line range of supercritical carbon dioxide in the near-critical region and the molecular structure characteristics of the liquid-like gas region, both the molecular dynamics simulation technology and the cluster analysis are used to investigate the relation between variation coefficient and skewness of CO<sub>2</sub> density time series with Widom line and liquid-gas-like interval, under the condition of the temperature and pressure range of 300–350 K and 5.5–18.5 MPa, respectively. The results show that the Widom line of supercritical carbon dioxide in the near-critical region can be determined by connecting the maximum coefficient of variation of the density time series curve. The Widom line begins to extend along with the critical point until it stops at 350 K. The molecular distribution structure of supercritical carbon dioxide liquid-like region and gas-like region can be differentiated by the skewness of the number density distributions. The skewness is positive in the gas-like region, but negative in the liquid-like region, and reaches the maximum at the Widom line.

Highlights

  • NIST results were compared with coefficient of variation

  • 1) (School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China) 2) (Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, Shanghai 200093, China)

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Summary

S-CO2 的 Widom 线确定

和压力分别在 300—350 K 和 5.5—19.5 MPa 范围 内 S-CO2 密度时间序列的变异系数. 可以看出, 随 着温度的增加, 变异系数极值点对应的压力逐渐变 大, 且与 NIST 计算的物性参数极大值对应压力一 致, 在温度为 350 K 时, 这种现象逐渐消失. Coefficient of variation of density time series curve. 连接变异系数的极值点, 可以在 P-T 图中确 定出一条 Widom 线, 如图 6 所示. 如图 5 中, 当温度为 305 K 时, 变异系数极大值对应的压力为 7.5 MPa, 在图 6 中, 当压力高于此数值时, 均表现为类液区, 而在 表 3 中此区域对应的偏度均为负值. 因此从总体 看, 当压力小于变异系数极大值对应的压力时, 偏 度值为正数, 即右偏, 相对于正态分布密度曲线, 其峰值靠左, 此时小于均值的数据比大于均值的数 据多, 总体密度偏小, 此时流体偏气态. 当压力大 于变异系数极大值对应的压力时, 偏度值为负数, 即左偏, 相对于正态分布密度曲线, 其峰值靠右, 此时大于均值的数据比小于均值的数据多, 总体密 度偏大, 流体偏液态. 图 7 给出了温度分别为 305, 330, 350 K 下不 同压力处的偏度, 可以看出, 当温度为 350 K 时, 偏度的正负区分消失

S-CO2 类液-类气区特征
MPa c
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