An Assessment of Round Tube Correlations for Convective Heat Transfer at Supercritical Pressure

Zahlan, H.; Leung, Lydie

doi:10.12943/cnr.2017.00006

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…The left top plot of this figure shows some scatter in HTC as predicted by the Chen and Fang [10], Wang et al [18], and Watts and Chou [40] correlations. The correlation scatter resembles the scatter of the experimental data by Zahlan et al [35,49]. The right-hand side plots of Fig.…”

Section: Graphical Comparison Of Best-estimate Correlationssupporting

confidence: 73%

Assessment of Convective Heat Transfer Correlations Against an Expanded Database for Different Fluids at Supercritical Pressures

Zahlan

Leung

Liu

2017

Journal of Nuclear Engineering and Radiation Science

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Canadian Nuclear Laboratories (CNL) has recently expanded the supercritical heat transfer (SCHT) databank with additional data provided by the Nuclear Power Institute of China (NPIC). These additional data cover flow conditions beyond the current databank, and are applicable for improving or validating existing correlations. The expanded databank comprises more than 41,000 points of heat-transfer measurements with different fluids flowing vertically upward in tubes, annuli, and bundles at supercritical (SC) pressures. It has been applied in assessing the prediction accuracy of 24 heat-transfer correlations, which were derived from experimental data obtained with water or nonaqueous fluids (such as carbon dioxide) flowing in tubes. For the correlation assessment, a sensitivity analysis has been performed by applying the measured wall temperature as an independent parameter. The assessment against the bundle data was based on cross-sectional-averaged flow conditions and the hydraulic diameter. The iterative approach (i.e., without prior knowledge of the wall temperature) overpredicted the wall temperature, which is conservative in safety analyses.

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Section: Graphical Comparison Of Best-estimate Correlationssupporting

confidence: 73%