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/m(3) respect to Jarrahian et al. and Bahadori et al. thermal conductivity models. (C) 2013 Elsevier B.V. All rights reserved.