Study on artificial neural network-based prediction of thermal characteristics of supercritical CO2 in vertical channels

被引：7

作者：

Zhu X. ^{[1
]}

Zhang R. ^{[1
]}

Yu X. ^{[2
]}

Qiu Q. ^{[1
]}

Zhao L. ^{[1
]}

机构：

[1] Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian

[2] Shenyang Aeroengine Research Institute, Aero Engine Corporation of China, Shenyang

来源：

International Communications in Heat and Mass Transfer | 2022年 / 139卷

基金：

中国国家自然科学基金;

关键词：

Artificial neural network; Empirical correlation; Heat transfer deterioration; Supercritical carbon dioxide;

D O I：

10.1016/j.icheatmasstransfer.2022.106502

中图分类号：

学科分类号：

摘要：

The aim of this paper is to achieve an accurate prediction of heat transfer deterioration and Nu of supercritical CO2 upward flowing in vertical channels using the artificial neural network method. Firstly, based on extensive experiments of round tubes and the square annular channel, a database with 11,589 data in 431 sets of experimental conditions was established. Then ANN models were trained with the training set which only contains the round tube data, and the optimal model structures were determined. The effects of input features on the prediction performance, including the experimental parameters, the dimensionless parameters, and the thermophysical property ratios, were compared, and the results showed that the model with all features in the input parameters performed best. The test set contains the experimental data of the round tubes and the square annular channel, the prediction results of the models on the test set showed that the model for HTD only has high precision on the round tube data, while the model for Nu has precise prediction performance both on the data of round tubes and the square annular channel. Simultaneously, the model for Nu shows a higher prediction performance than the correlations. © 2022 Elsevier Ltd

引用

共 41 条

[1]

Manjunath K., Sharma O.P., Tyagi S.K., Kaushik S.C., Thermodynamic analysis of a supercritical/transcritical CO2 based waste heat recovery cycle for shipboard power and cooling applications[J], Energ. Convers. Manage., 155, pp. 262-275, (2018)

[2]

Chen M., Zhao R., Zhao L., Zhao D., Deng S., Wang W., Supercritical CO2 Brayton cycle: intelligent construction method and case study[J], Energ. Convers. Manage., 246, (2021)

[3]

Kim J.K., Jeon H.K., Lee J.S., Wall temperature measurement and heat transfer correlation of turbulent supercritical carbon dioxide flow in vertical circular/non-circular tubes[J], Nucl. Eng. Des., 237, 15-17, pp. 1795-1802, (2007)

[4]

Zhang Q., Li H., Kong X., Liu J., Lei X., Special heat transfer characteristics of supercritical CO2 flowing in a vertically-upward tube with low mass flux[J], Int. J. Heat Mass Transf., 122, pp. 469-482, (2018)

[5]

Bae Y.Y., Mixed convection heat transfer to carbon dioxide flowing upward and downward in a vertical tube and an annular channel[J], Nucl. Eng. Des., 241, 8, pp. 3164-3177, (2011)

[6]

Song J.H., Kim H.Y., Kim H., Bae Y.Y., Heat transfer characteristics of a supercritical fluid flow in a vertical pipe[J], J. Supercrit. Fluids, 44, 2, pp. 164-171, (2008)

[7]

Bae Y.Y., Kim H.Y., Convective heat transfer to CO2 at a supercritical pressure flowing vertically upward in tubes and an annular channel[J], Exp. Thermal Fluid Sci., 33, 2, pp. 329-339, (2009)

[8]

Gupta S., Saltanov E., Mokry S., Pioro I., Trevani L., McGillivray D., Developing empirical heat-transfer correlations for supercritical CO2 flowing in vertical bare tubes[J], Nucl. Eng. Des., 261, pp. 116-131, (2013)

[9]

Jackson J.D., Fluid flow and convective heat transfer to fluids at supercritical pressure[J], Nucl. Eng. Des., 264, pp. 24-40, (2013)

[10]

Kim D.E., Kim M.-H., Experimental investigation of heat transfer in vertical upward and downward supercritical CO2 flow in a circular tube[J], Int. J. Heat Fluid Flow, 32, 1, pp. 176-191, (2011)

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