Review Article

Review of the Wall Temperature Prediction Capability of Available Correlations for Heat Transfer at Supercritical Conditions of Water

Table 3

Consolidated details of all experimental data and the best fitting correlations for cases with normal heat transfer.

Sl. no.ParameterYamagata et al. [3]
Dataset 1
(Figure 4)
Yamagata et al. [3]
Dataset 2
(Figure 5)
Loewenberg et al. [10]
Dataset 1
(Figure 6)
Loewenberg et al. [10]
Dataset 2
(Figure 7)
Mokry et al. [15]
Dataset 2
(Figure 11)

01Tube ID (mm)7.57.5202038
02Pressure (bar (a))245245250235241
03Heat flux (kW/m2)2339303001200252
04Mass flux (kg/m2s)1260126010002250543
05Heat flux to mass flux ratio (kJ/kg) [5]0.1850.7380.3000.5330.464
06Limiting heat flux to avoid deterioration (kW/m2) [3, 15]1050.7, 879.71050.7, 879.7796.2, 6862106.9, 1617.2382.6, 345.5
07Fluid temperature range (°C)334.01 to 391.86341 to 381.9273.78 to 406.41273.78 to 406.41266.33 to 380.1
08Pseudocritical temperature at the given pressure (°C)383.33383.33385.17379.56381.83
09Fluid temperature at which peak change in metal temperature is observed (°C)381.61381.9376.4379.59373.1
10( ) at normal wall temperature zone, experimental8.6 to 14.637.1 to 51.518.2 to 36.647.95 to 71.5938.7 to 57.6
11( ) at peak wall temperature zone, experimental2.939.415.527.4118.8
12Name of correlation the metal temperature prediction of which has the closest fit with experimental data OrnatskyShitsmanWatts and ChouJacksonMokry
13( ) at normal wall temperature zone, best correlation6.2 to 13.742.2 to 51.716.5 to 3946.00 to 88.4140.47 to 48.81
14( ) at peak wall temperature zone, best correlation2.832.41525.7430
15Total number of data points3517151579
16% data with <5% error in metal temperature prediction100100100100100
17% data with <10°C error in metal temperature prediction1001001008096.2
18Minimum and maximum deviation from experimental metal temperature (°C)−2.4 to +0.73−7 to +8.1−7.59 to +2.39−3.98 to +16.82−10.2 to +11.2