The use of supercritical fluids in industries is becoming more and more common due to various reasons such as reduced environmental effects and improved efficiency. Because of the huge cost involved, experimentally investigating heat transfer to supercritical fluids is a difficult affair. Therefore, numerical simulation is an effective tool to investigate heat transfer to supercritical fluids. However, simulating heat transfer to supercritical fluid is a challenging task, mainly because of the abrupt property change near pseudocritical point. In this study, different combinations of CFD solvers, RANS turbulence models and material libraries are evaluated to assess the accuracy of predicting pseudocritical properties of steam flowing inside straight tube. It is found that the combination ofAnsys CFX solver, k-ϵ turbulence model and IAPWS IF-97 material library grossly over-predicts the tube wall temperature. Similarly, the combination of Ansys CFX solver, k-ω turbulence model and IAPWS IF-97 material library accurately predicts the bulk fluid temperature and tube wall temperature only up to a point where pseudocritical point is attained by steam. Beyond that the predicted values start to deflect from experimental values continuously. The most accurate combination turns out to be the Ansys Fluent solver along with NIST REFPROP material library and SST k- ω turbulence model. Both the bulk fluid temperature and tube wall temperature are predicted accurately with this model. Further the wall HTC is also predicted quite accurately with this combination. The percentage deviation in predicting the bulk fluid temperature, tube wall temperature and wall HTC from experimental values are 0.2, 0.5 and 1.07 respectively.