Rapid estimation of carbon dioxide compressibility factor using simple predictive tool

Abstract

In this work, a simple predictive tool which is easier than existing approaches involving a fewer number of parameters, requiring less complicated and shorter computations, is presented to accurately predict carbon dioxide compressibility factor as a function of reduced temperature and reduced pressure. The proposed predictive tool shows consistently accurate results across the proposed pressure and temperature ranges. Predictions show an average absolute deviation of 0.55 % compared to existing Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) SRK equations of state which show an average absolute deviations of 0.58% and 2.30% respectively. This simple-to-use predictive tool can be of significant practical value for the engineers and scientists to have a quick check on carbon dioxide compressibility factor for temperatures up to 1000°C and pressures up to 50,000 kPa without the necessity of any experimental measurements. This is expected to benefit and making design decisions leading to informed decisions for rapid and accurate prediction carob dioxide compressibility factor in any process industry