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research-article

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

[+] Author and Article Information
Hussam A M Zahlan

Canadian Nuclear Laboratories, 286 Plant Road, Chalk River, ON Canada K0J 1J0
hussam.zahlan@cnl.ca

Laurence K.H. Leung

Canadian Nuclear Laboratories, 286 Plant Road, Chalk River, ON Canada K0J 1J0
laurence.leung@cnl.ca

Yanping Huang

Nuclear Power Institute of China, P.O. Box 436-72, Chengdu, Sichuan, 610213, China
hyanping007@163.com

Guang-xu Liu

Nuclear Power Institute of China, P.O. Box 436-72, Chengdu, Sichuan, 610213, China
liugx0711@163.com

1Corresponding author.

ASME doi:10.1115/1.4037720 History: Received May 05, 2017; Revised August 14, 2017

Abstract

Canadian Nuclear Laboratories (CNL) has recently expanded the supercritical heat transfer databank with additional data provided by the Nuclear Power Institute of China. 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 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 non-aqueous 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. Overall, and compared with other correlations, the Chen and Fang correlation [10] provides the closest agreement with the data of tubes and bundles, while the Jackson's correlation [32] agrees better with the data of annuli. The iterative approach (i.e., without prior knowledge of the wall temperature) over-predicted the wall temperature, which is conservative in safety analyses.

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