Uncertainty quantification of real gas models in CO2 supersonic flow

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.

Automated summary

This study investigates the application of supersonic separator technology for removing carbon dioxide from natural gas, analyzing the impact of parametric uncertainties on shock wave prediction using real gas models. Results show that the shock wave introduces non-linearity in the local standard deviation, with different gas models exhibiting varying levels of sensitivity to input uncertainties.