Uncertainty quantification of real gas models in [formula omitted] supersonic flow

Abstract

Carbon dioxide (CO2) is an undesirable component present in natural gas composition. The supersonic separator is a new and potential technology for natural gas treatment, which expands the gas through supersonic velocities until a shock wave formation. The modeling capacity to predict the shock wave position inside the device is analyzed considering parametric uncertainties. Results from four real gas models were compared in computational fluid dynamic modeling. Uncertainties that affect coefficients in the real gas models were propagated through the carbon dioxide flow solver using the Latin Hypercube Sampling approach. It was observed that the shock wave introduces non-linearity in the local standard deviation. Soave–Redlich–Kwong and Aungier–Redlich–Kwong are slightly affected by input parametric uncertainties. On the other hand, the Peng–Robinson model results are strongly affected.