Comparison of the other models to new model and experimental data for 47nm nanoparticles 17 and different nanoparticles volume of fractions. Display omitted •A dimensionless model is discussed to forecast thermal conductivity of nanofluids.•The proposed model considers knf, kbf, Φ, dp, Tnf, and t.•Proposed model has a good compatibility with experimental data of previous studies. 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.