Abstract
In this paper, we investigate numerical solution of the diffuse interface model with Peng–Robinson equation of state, that describes real states of hydrocarbon fluids in the petroleum industry. Due to the strong nonlinearity of the source terms in this model, how to design appropriate time discretizations to preserve the energy dissipation law of the system at the discrete level is a major challenge. Based on the “Invariant Energy Quadratization” approach and the penalty formulation, we develop efficient first and second order time stepping schemes for solving the single-component two-phase fluid problem. In both schemes the resulted temporal semi-discretizations lead to linear systems with symmetric positive definite spatial operators at each time step. We rigorously prove their unconditional energy stabilities in the time discrete sense. Various numerical simulations in 2D and 3D spaces are also presented to validate accuracy and stability of the proposed linear schemes and to investigate physical reliability of the target model by comparisons with laboratory data.
Similar content being viewed by others
References
Chen, R., Ji, G., Yang, X., Zhang, H.: Decoupled energy stable schemes for phase-field vesicle membrane model. J. Comput. Phys. 302, 509–523 (2015)
Copetti, M., Elliott, C.: Numerical analysis of the Cahn–Hilliard equation with a logarithmic free energy. Numer. Math. 63, 39–65 (1992)
Davis, H.T.: Statistical Mechanics of Phases, Interfaces, and Thin Films. VCH, New York (1996)
Du, Q., Li, M., Liu, C.: Analysis of a phase field Navier–Stokes vesicle-fluid interaction model. Dis. Contin. Dyn. Syst. B 8, 539–556 (2007)
Du, Q., Liu, C., Wang, X.: A phase field approach in the numerical study of the elastic bending energy for vesicle membranes. J. Comput. Phys. 198, 450–468 (2004)
Du, Q., Liu, C., Wang, X.: Simulating the deformation of vesicle membranes under elastic bending energy in three dimensions. J. Comput. Phys. 212, 757–777 (2005)
Elliott, C.M., Garcke, H.: On the Cahn–Hilliard equation with degenerate mobility. SIAM J. Math. Anal. 27, 404–423 (1996)
Eyre, D.J.: Unconditionally gradient stable time marching the Cahn-Hilliard equation. In: Computational and Mathematical Models of Microstructural Evolution (San Francisco, CA, 1998), Materials Research Society Symposia Proceedings, vol. 529, pp. 39–46. MRS, Warrendale, PA (1998)
Firoozabadi, A.: Thermodynamics of Hydrocarbon Reservoirs. McGraw-Hill, New York (1999)
Frenkel, D., Smit, B.: Understanding Molecular Simulation: From Algorithms to Applications. Academic Press, San Diego, CA (2001)
Guillén-González, F., Tierra, G.: On linear schemes for a Cahn–Hilliard diffuse interface model. J. Comput. Phys. 234, 140–171 (2013)
Han, D., Brylev, A., Yang, X., Tan, Z.: Numerical analysis of second order, fully discrete energy stable schemes for phase field models of two phase incompressible flows. J. Sci. Comput. 70, 965–989 (2016)
Haugen, K.B., Firoozabadi, A.: Composition at the interface between multicomponent nonequilibrium fluid phases. J. Chem. Phys. 130, 064707 (2009)
Kim, J.: Phase-field models for multi-component fluid flows. Commun. Comput. Phys. 12, 613–661 (2012)
Kou, J., Sun, S.: An adaptive finite element method for simulating surface tension with the gradient theory of fluid interfaces. J. Comput. Appl. Math. 255, 593–604 (2014)
Kou, J., Sun, S.: Numerical methods for a multicomponent two-phase interface model with geometric mean influence parameters. SIAM J. Sci. Comput. 37, B543–B569 (2015)
Kou, J., Sun, S.: Unconditionally stable methods for simulating multi-component two-phase interface models with Peng–Robinson equation of state and various boundary conditions. J. Comput. Appl. Math. 291, 158–182 (2016)
Kou, J., Sun, S., Wang, X.: Efficient numerical methods for simulating surface tension of multi-component mixtures with the gradient theory of fluid interfaces. Comput. Methods Appl. Mech. Eng. 292, 92–106 (2015)
Lin, H., Duan, Y.Y.: Surface tension measurements of propane (r-290) and isobutane (r-600a) from (253 to 333)K. J. Chem. Eng. Data 48, 1360–1363 (2003)
Miqueu, C., Mendiboure, B., Graciaa, A., Lachaise, J.: Modelling of the surface tension of multicomponent mixtures with the gradient theory of fluid interfaces. Ind. Eng. Chem. Res. 44, 3321–3329 (2005)
Peng, D., Robinson, D.: A new two-constant equation of state. Ind. Eng. Chem. Fundam. 15, 59–64 (1976)
Qiao, Z., Sun, S.: Two-phase fluid simulation using a diffuse interface model with Peng–Robinson equation of state. SIAM J. Sci. Comput. 36, B708–B728 (2014)
Rongy, L., Haugen, K.B., Firoozabadi, A.: Mixing from Fickian diffusion and natural convection in binary non-equilibrium fluid phases. AIChE J. 58, 1336–1345 (2012)
Shen, J., Yang, X.: Numerical approximations of Allen–Cahn and Cahn–Hilliard equations. Dis. Conti. Dyn. Syst. A 28, 1669–1691 (2010)
Sun, S., Wheeler, M.F.: Symmetric and nonsymmetric discontinuous Galerkin methods for reactive transport in porous media. SIAM J. Numer. Anal. 43, 195–219 (2005)
Sun, S., Wheeler, M.F.: Local problem-based a posteriori error estimators for discontinuous Galerkin approximations of reactive transport. Comput. Geosci. 11, 87–101 (2007)
van der Waals, J.: The thermodynamic theory of capillarity under the hypothesis of a continuous density variation. J. Stat. Phys. 20, 197–244 (1893)
Wang, X., Ju, L., Du, Q.: Efficient and stable exponential time differencing Runge–Kutta methods for phase field elastic bending energy models. J. Comput. Phys. 316, 21–38 (2016)
Wang, C., Wise, S.M.: An energy stable and convergent finite-difference scheme for the modified phase field crystal equation. SIAM J. Numer. Anal. 49, 945–969 (2011)
Wheeler, M.F., Wick, T., Wollner, W.: An augment-Lagrangian method for the phase-field approach for pressurized fractures. Comput. Methods Appl. Mech. Eng. 271, 69–85 (2014)
Yang, X.: Linear, first and second-order, unconditionally energy stable numerical schemes for the phase field model of homopolymer blends. J. Comput. Phys. 327, 294–316 (2016)
Yang, X.: Numerical approximations for the Cahn-Hilliard phase field model of the binary fluid-surfactant system. J. Sci. Comput. (2017). doi:10.1007/s10915-017-0508-6
Yang, X., Han, D.: Linearly first- and second-order, unconditionally energy stable schemes for the phase field crystal equation. J. Comput. Phys. 330, 1116–1134 (2017)
Yang, X., Ju, L.: Efficient linear schemes with unconditionally energy stability for the phase field elastic bending energy model. Comput. Methods Appl. Mech. Eng. 315, 691–712 (2017)
Yang, X., Ju, L.: Linear and unconditionally energy stable schemes for the binary fluid–surfactant phase field model. Comput. Methods Appl. Mech. Eng. 318, 1005–1029 (2017)
Yang, X., Zhao, J., Wang, Q.: Numerical approximations for the molecular beam epitaxial growth model based on the invariant energy quadratization method. J. Comput. Phys. 333, 104–127 (2017)
Zhao, J., Wang, Q., Yang, X.: Numerical approximations for a phase field dendritic crystal growth model based on the invariant energy quadratization approach. Inter. J. Numer. Methods Eng. 110, 279–300 (2017)
Author information
Authors and Affiliations
Corresponding author
Additional information
H. Li’s research is partially supported by National Natural Science Foundation of China under Grant Numbers 11401350 and 11471196, and the China Scholarship Council. L. Ju’s research is partially supported by U.S. National Science Foundation under Grant Number DMS-1521965 and U.S. Department of Energy under Grant Number DE-SC0016540. Q. Peng’s research is partially supported by National Natural Science Foundation of China under Grant Number 11701562.
Appendix
Appendix
All the following parameters are classical definitions, and can be found in the references [15, 16, 18, 22] and the references cited therein. The universal gas constant R has a value of approximately \(8.31432\,\text {JK}^{-1}\text {mol}^{-1}\), and the (temperature-dependent) energy parameter \(a=a(T)\) and the co-volume parameter b in the Peng–Robinson equation of state are defined as
with \(\displaystyle y_i=\frac{n_i}{n}\) being the mole fraction of component i. The binary interaction coefficient \(0\le k_{ij}\le 1\) is assumed to be a constant for a fixed species pair and usually computed from experimental correlation. The Peng–Robinson parameters for the pure-substance component i, \(a_i\) and \(b_i\), are calculated from the critical properties of the specie
where \(T_{c_i}\) and \(P_{c_i}\) represent the critical temperature and pressure of the pure substance component i respectively, which are intrinsic properties of the specie and available for most substances encountered in engineering applications. The parameter \(m_i\) for modeling the influence of temperature on \(a_i\) is experimentally correlated to the acentric parameter of the specie \(\omega _i\) by
with
where \(T_{b_i}\) represents the normal boiling point of the pure substance i, “PSI” is “pounds per square inch”, and “atm” refers to the standard atmosphere pressure (equal to 101325 Pa).
The dependence of the influence parameter \(c_{ij}\) on the molar concentrations is practice very weak, thus it is common to assume that \(c_{ij}=c_{ij}(T)\) is just a temperature-dependent parameter, which often can be obtained by adopting the modified geometric mean
Note \(\beta _{ij}\) is the binary interaction coefficient for the influence parameter, usually required to be included between 0 and 1 and \(\beta _{ij}=\beta _{ji}\) to maintain the stability of the interfaces, and \(c_i\) is the influence parameter of the pure substance component i, computed by
with \(m^c_{1,i}\) and \(m^c_{2,i}\) being the coefficients correlated merely with the acentric factor \(\omega _i\) by
Rights and permissions
About this article
Cite this article
Li, H., Ju, L., Zhang, C. et al. Unconditionally Energy Stable Linear Schemes for the Diffuse Interface Model with Peng–Robinson Equation of State. J Sci Comput 75, 993–1015 (2018). https://doi.org/10.1007/s10915-017-0576-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10915-017-0576-7
Keywords
- Diffuse interface
- Linear scheme
- Peng–Robinson equation of state
- Invariant energy quadratization
- Energy stability
- Penalty formulation