Numerical Investigation of Heat Transfer to Supercritical Pressure Water in Vertical Tube With Non-Uniform Heating Form

Investigations and numerical modelling are performed on the heat transfer to CO2 at supercritical pressure under buoyancy affected conditions during heating in a vertical tube with inner diameter of 2 mm. Numerical modelling are carried out using several low Reynolds number (LRN) k-ε models, including the model due to Launder and Sharma (LS), Abe, Kondoh and Nagano (AKN), Myong and Kasagi (MK) models. The numerical results are compared with the corresponding experimental data and the predicted values using the semi-empirical correlation for convection heat transfer of supercritical fluids without deterioration. The abilities of various LRN models to predict the heat transfer to fluids at supercritical pressures under normal and buoyancy affected heat transfer conditions are evaluated. Detailed information related to the flow and turbulence is presented to get better understanding of the mechanism of the heat transfer deterioration due to buoyancy, as well as the different behavior of various LRN turbulence models in responding to the buoyancy effect, which gives clues in future model improvement and development to predict the buoyancy affected heat transfer more precisely and in a broader range of conditions as they come to be used to simulate the flow and heat transfer in various applications such as in the supercritical pressure water-cooled reactor (SCWR) and the supercritical pressure steam generator in the high temperature gas cooled reactor (HTR).

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Pseudoboiling Heat Transfer to Supercritical Pressure Water in Smooth and Ribbed Tubes

Journal of Heat Transfer ◽

10.1115/1.3449698 ◽

1970 ◽

Vol 92 (3) ◽

pp. 490-497 ◽

Cited By ~ 138

Author(s):

J. W. Ackerman

Keyword(s):

Heat Transfer ◽

Forced Convection ◽

Heated Surface ◽

Supercritical Pressure ◽

Heat Fluxes ◽

Film Boiling ◽

Fluid Temperature ◽

Bulk Fluid ◽

Pressure Water ◽

Supercritical Pressure Water

Investigations of heat transfer to supercritical pressure fluids have been going on for some time, and correlations have been developed for both free and forced-convection conditions. In these investigations, unpredictable heat transfer performance has sometimes been observed when the pseudocritical temperature of the fluid is between the temperature of the bulk fluid and that of the heated surface. The unusual performance has been attributed to many causes, but one for which more evidence is being collected is that of a pseudofilm-boiling process similar to film boiling which occurs at subcritical pressures. This paper, which is an extension of work reported earlier on forced-convection heat transfer to supercritical pressure water, presents experimental evidence which suggests that a pseudofilm-boiling phenomenon can occur in smooth-bore tubes. During the period from 1963–1966, tubes with ID’s from 0.37 to 0.96 in. were tested at pressures from 3300–6000 psia and at heat fluxes and mass velocities in the range of interest in steam-generator design. The effects of heat flux, mass velocity, tube diameter, pressure, and bulk fluid temperature on both the occurrence and characteristics of pseudofilm boiling are discussed. Results of a second series of tests conducted in 1967, which show that ribbed tubes suppress pseudofilm boiling at supercritical pressure much like they do film boiling at subcritical pressures, are also discussed.

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Experimental investigation of heat transfer from a 2×2 rod bundle to supercritical pressure water

Nuclear Engineering and Design ◽

10.1016/j.nucengdes.2014.04.036 ◽

2014 ◽

Vol 275 ◽

pp. 205-218 ◽

Cited By ~ 40

Author(s):

Han Wang ◽

Qincheng Bi ◽

Linchuan Wang ◽

Haicai Lv ◽

Laurence K.H. Leung

Keyword(s):

Heat Transfer ◽

Experimental Investigation ◽

Supercritical Pressure ◽

Rod Bundle ◽

Pressure Water ◽

Supercritical Pressure Water

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A New Correlation for Heat Transfer Coefficient Prediction of Supercritical Pressure Water Flowing in Vertical Upward Tubes

Volume 1: Heat Transfer in Energy Systems; Thermophysical Properties; Theory and Fundamentals in Heat Transfer; Nanoscale Thermal Transport; Heat Transfer in Equipment; Heat Transfer in Fire and Combustion; Transport Processes in Fuel Cells and Heat Pipes; Boiling and Condensation in Macro, Micro and Nanosystems ◽

10.1115/ht2016-7304 ◽

2016 ◽

Cited By ~ 1

Author(s):

Xiangfei Kong ◽

Huixiong Li ◽

Changjiang Liao ◽

Xianliang Lei ◽

Qian Zhang

Keyword(s):

Heat Transfer ◽

Experimental Data ◽

Supercritical Pressure ◽

Good Prediction ◽

Empirical Correlations ◽

Transfer Coefficients ◽

Heat Transfer Coefficients ◽

New Correlation ◽

Pressure Water ◽

Supercritical Pressure Water

Supercritical pressure water has been widely used in many industrial fields, such as fossil-fired power plants and nuclear reactors because mainly of its high thermal efficiencies. Although many empirical correlations for heat transfer coefficients of supercritical pressure water have been proposed by different authors based on different experimental data base, there exist remarkable discrepancies between the predicted heat transfer coefficients of different correlations under even the same condition. Heat transfer correlations with good prediction performance are of considerable significance for developing supercritical (ultra-supercritical) pressure boilers and SCWRs. In this paper, the experimental data (about 7389 experimental data points) and 30 existing empirical correlations for heat transfer of supercritical pressure water (SCW) flowing in vertical upward tubes are collected from the open literatures. Evaluations of the prediction performance of the existing correlations are conducted based on the collected experimental data, and a detailed multi-collinearity analysis has been made on different correction factors involved in the existing correlations, and then based on the collected experimental data, a new heat transfer correlation is developed for the supercritical pressure water flowing in vertical upward tubes under normal and enhanced heat transfer mode. Compared with the existing correlations, the new correlation exhibits good prediction accuracy, with a mean absolute deviation (MAD) of 9.63%.

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