A simple correlation to predict thermal conductivity of supercritical carbon dioxide

Nowadays due to wide usages of supercritical fluids (SCFs) technology in different industrial fields, thermal conductivity estimation of carbon dioxide is so significant. In this study, a new correlation for the prediction of supercritical carbon dioxide (SC-CO2) thermal conductivity based 600 data points from the literature is proposed. The simple correlation is function of density and temperature. The proposed SC-CO2 thermal conductivity correlation has better performance (lower AARE%) and higher thermal conductivity prediction ability at wider range of temperature from 290 to 800 K and density between 1 and 1200 kg/m3 respect to Jarrahian et al. and Bahadori et al. thermal conductivity models.