Journal
SIAM JOURNAL ON SCIENTIFIC COMPUTING
Volume 39, Issue 1, Pages B1-B28Publisher
SIAM PUBLICATIONS
DOI: 10.1137/16M1061552
Keywords
convex splitting; sequential splitting; equation of state; Van der Waals EoS; Peng Robinson EoS; multicomponent two-phase systems
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Funding
- King Abdullah University of Science and Technology (KAUST)
- National Natural Science Foundation of China [11301163]
- Hong Kong Research Grant Council GRF [509213, 15302214]
- NSFC/RGC joint research scheme [N_HKBU204/12]
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This paper presents a componentwise convex splitting scheme for numerical simulation of multicomponent two-phase fluid mixtures in a closed system at constant temperature, which is modeled by a diffuse interface model equipped with the Van der Waals and the Peng Robinson equations of state (EoS). The Van der Waals EoS has a rigorous foundation in physics, while the Peng Robinson EoS is more accurate for hydrocarbon mixtures. First, the phase field theory of thermodynamics and variational calculus are applied to a functional minimization problem of the total Helmholtz free energy. Mass conservation constraints are enforced through Lagrange multipliers. A system of chemical equilibrium equations is obtained which is a set of second-order elliptic equations with extremely strong nonlinear source terms. The steady state equations are transformed into a transient system as a numerical strategy on which the scheme is based. The proposed numerical algorithm avoids the indefiniteness of the Hessian matrix arising from the second-order derivative of homogeneous contribution of total Helmholtz free energy; it is also very efficient. This scheme is unconditionally componentwise energy stable and naturally results in unconditional stability for the Van der Waals model. For the Peng Robinson EoS, it is unconditionally stable through introducing a physics-preserving correction term, which is analogous to the attractive term in the Van der Waals EoS. An efficient numerical algorithm is provided to compute the coefficient in the correction term. Finally, some numerical examples are illustrated to verify the theoretical results and efficiency of the established algorithms. The numerical results match well with laboratory data.
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