Amir Momeni Dolatabadi, Giuseppe Petruccelli, Aki Grönman, Teemu Turunen-Saaresti
Accurately predicting the onset of heat transfer deterioration (HTD) is crucial for the safe operation of advanced power systems, such as supercritical carbon dioxide (sCO 2 ) power cycles. A key factor influencing supercritical HTD is the formation of a gas-like layer near heated surfaces, which prevents convective heat transfer and degrades thermal performance. Due to the challenges of experimentally observing this layer, a comprehensive numerical investigation was conducted on sCO 2 flow in heated horizontal tubes to predict the onset of HTD, considering the gas-like layer. The simulations covered a wide range of operating conditions, including operating pressures that varied from 7.5 MPa to 30 MPa, heat fluxes that ranged from 25 kW/m 2 to 500 kW/m 2 , and mass fluxes that ranged from 200 kg/(m 2 s) to 1000 kg/(m 2 s). The model employed the Eulerian approach and the Shear Stress Transport ( S S T ) k − ω turbulence model, validated against experimental data. Seven existing correlations for HTD onset in sCO 2 were evaluated, revealing that most correlations developed for other fluids cannot be directly applied to sCO 2 , as all correlations fail to account for the gas-like layer. To address this limitation, a new correlation incorporating the pseudo-mass quality was developed, demonstrating 93.75% accuracy in the HTD dataset, 94.74% accuracy in the non-HTD dataset, and an overall accuracy of 94.21%.