论文标题
基于一般立方方程的数值模拟的热力学建模
Thermodynamic modeling for numerical simulations based on the generalized cubic equation of state
论文作者
论文摘要
我们进一步详细阐述了Cismondi和Mollerup [Fluid Phoe epeLib所提出的状态的立方方程的广义公式。 232(2005)]。使用此公式,所有知名的状态方程都可以用一对值描述,这允许对不同状态方程的一般实现。基于这种广义公式,我们通过为所有必需的热力学特性提供了所得的相关性,从而得出了一个完整的计算流体动力学(CFD)模拟的热力学模型。对于运输属性,我们采用了Chung相关性。 我们的通用实现包括经常使用的状态SOAVE-REDLICH-KWONG和PENG-ROBINSON和REDLICH-KWONG-PENG-ROBINSON(RKPR)的状态方程。前两个假定通用可压缩因子,因此仅适用于具有匹配临界可压缩性的流体。 Redlich-kwong-Peng-Robinson通过将状态参数方程视为关键可压缩性的函数来克服这一限制。我们比较了所选流体的三个状态方程和CoolProp参考数据的最终热力学建模。 作为本文的补充材料,我们提供了一种称为真正气体热力学Python库(Realtpl)的Python工具。该工具可用于评估和比较各种不同流体的结果。此外,我们还提供OpenFOAM中广义表格的实现。
We further elaborate on the generalized formulation for cubic equation of state proposed by Cismondi and Mollerup [Fluid Phase Equilib. 232 (2005)]. With this formulation all well-known cubic equations of state can be described with a certain pair of values, which allows for a generic implementation of different equations of state. Based on this generalized formulation, we derive a complete thermodynamic model for computational fluid dynamics (CFD) simulations by providing the resulting correlations for all required thermodynamic properties. For the transport properties, we employ the Chung correlations. Our generic implementation includes the often used equations of state Soave-Redlich-Kwong and Peng-Robinson and the Redlich-Kwong-Peng-Robinson (RKPR) equation of state. The first two assume a universal compressibility factor and are therefore only suitable for fluids with a matching critical compressibility. The Redlich-Kwong-Peng-Robinson overcomes this limitation by considering the equation of state parameter as function of the critical compressibility. We compare the resulting thermodynamic modeling for the three equations of state for selected fluids with each other and CoolProp reference data. As supplementary material to this paper, we provide a Python tool called real gas thermodynamic python library (realtpl). This tool can be used to evaluate and compare the results for a wide range of different fluids. Additionally, we also provide the implementation of the generalized form in OpenFOAM.