A new temperature evolution equation that enforces thermodynamic vapour-liquid equilibrium in multiphase flows -- application to CO2 modeling
Pardeep Kumar, Benjamin Sanderse, Patricio I. Rosen Esquivel, R. A. W. M. Henkes
TL;DR
The paper develops a framework to model CO$_2$ depressurization by coupling the Hyperbolic Homogeneous Equilibrium Model (HEM) with UV-Flash thermodynamics under Span-Wagner EOS. It introduces two reduced VLE strategies: Reduced-VLE-Algebraic, which collapses the four VLE equations to a single algebraic one using saturation data, and Reduced-VLE-ODE, which differentiates the reduced equation to yield a temperature-evolution ODE for explicit time integration. These approaches are demonstrated on tank and pipeline depressurization problems, achieving substantial computational speedups with acceptable accuracy and highlighting energy-conservation trade-offs in the ODE variant. The results validate the methods against Hammer benchmarks and reveal the potential for efficient CO$_2$ transport simulations, while outlining avenues for extension to multi-component systems and improved time integration.
Abstract
This work presents a novel framework for numerically simulating the depressurization of tanks and pipelines containing carbon dioxide (CO2). The framework focuses on efficient solution strategies for the coupled system of fluid flow equations and thermodynamic constraints. A key contribution lies in proposing a new set of equations for phase equilibrium calculations which simplifies the traditional vapor-liquid equilibrium (VLE) calculations for two-phase CO2 mixtures. The first major novelty resides in the reduction of the conventional four-equation VLE system to a single equation, enabling efficient solution using a non-linear solver. This significantly reduces computational cost compared to traditional methods. Furthermore, a second novelty is introduced by deriving an ordinary differential equation (ODE) directly from the UV-Flash equation. This ODE can be integrated alongside the governing fluid flow equations, offering a computationally efficient approach for simulating depressurization processes.
