Review Article

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

Table 2

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

Sl. no.ParameterVikhrev et al. [18]
Dataset 1
(Figure 2)
Vikhrev et al. [18]
Dataset 2
(Figure 3)
Zhu et al. [12]
Dataset 1
(Figure 8)
Zhu et al. [12]
Dataset 2
(Figure 9)
Mokry et al. [15]
Dataset 1
(Figure 10)
Wang et al. [14]
Dataset 1
(Figure 12)
Wang et al. [14]
Dataset 2
(Figure 13)

01Tube ID (mm)20.420.426261019.826
02Pressure (bar (a))265265260300241250260
03Heat flux (kW/m2)5701160300300148660350
04Mass flux (kg/m2s)49514006006002011200600
05Heat flux to mass flux ratio (kJ/kg) [5]1.1520.8290.50.50.7360.550.583
06Limiting heat flux to avoid deterioration (kW/m2) [3, 15] 342.4, 309.81192, 98
4
431.3, 388431.3, 388116, 90.7990.9, 835431.3, 388
07Fluid temperature range (°C)60 to 340147 to 403.8336.8 to 440.6336.8 to 408.1321.94 to 397.93244.21 to 385.29335 to 437
08Pseudocritical temperature at the given pressure (°C)390.53390.53388.8402.3381.83385.17388.77
09Fluid temperature at which peak change in metal temperature is observed (°C)91.7 and 329.9356.9, 387.6, 392.3, and 403.8408.4408.1330.7 and 381.5385.29387.53
10 ( ) at normal wall temperature zone-Experimental116.3 to 15298.8 to 111.630.7 to 50.931.3 to 41.839.5 to 68.753.7 to 64.737.6 to 116.5
11( ) at peak wall temperature zone, experimental282.2 and 278.4 179.9191.8192.260.5 and 70.3119.1264.8
12Name of correlation the metal temperature prediction of which has the closest fit with experimental data Xiaojing ZhuWatts and ChouXiaojing Zhu Watts and ChouGorbanGorbanMokry
13( ) at normal wall temperature zone, best correlation92.2 to 143.186.9 to 111.625.41 to 59.8532.93 to 45.5352.35 to 79.650.1 to 55.742.9 to 99.7
14( ) at peak wall temperature zone, best correlation149 and 123.897.136.94127.6252.68 and 48.8650.142.8
15Total number of data points2920168802615
16% data with <5% error in metal temperature prediction48.287068.757598.7588.4640
17% data with <10°C error in metal temperature prediction37.932056.255048.7542.3120
18Minimum and maximum deviation from experimental metal temperature (°C)−154.6 to +9.9−82.78 to +23.33−155 to +10−64.56 to +10.72−21.39 to +24.41−68.98 to +0.42−222 to +10