In this research, a dimensionless model is discussed to forecast effective thermal conductivity of nanofluids regarding the dimensionless groups. Nanofluids thermal conductivity is represented by this model as a function of thermal conductivity of nanoparticles and base liquid, nanoparticles size, volume fractions and interfacial shell properties. Moreover, temperature is considered as a most significant parameter for nanofluids thermal conductivity which influences even on the effective parameters. The results of modeling generate a non-linear correlation for thermal conductivity which demonstrates a good compatibility between present model and experimental data of Al2O3/H2O nanofluids compared to other models. (C) 2017 Elsevier Ltd. All rights reserved.