谢雄州, 叶道铭, 黄俊辉, 王建勇. 湍流普朗特数模型对水平圆管内sCO2传热预测的影响[J]. 动力工程学报, 2023, 43(12): 1539-1548,1584. DOI: 10.19805/j.cnki.jcspe.2023.12.002
引用本文: 谢雄州, 叶道铭, 黄俊辉, 王建勇. 湍流普朗特数模型对水平圆管内sCO2传热预测的影响[J]. 动力工程学报, 2023, 43(12): 1539-1548,1584. DOI: 10.19805/j.cnki.jcspe.2023.12.002
XIE Xiongzhou, YE Daoming, HUANG Junhui, WANG Jianyong. Influences of Turbulent Prandtl Number Models on Predicting sCO2 Heat Transfer in Horizontal Circular Tubes[J]. Journal of Chinese Society of Power Engineering, 2023, 43(12): 1539-1548,1584. DOI: 10.19805/j.cnki.jcspe.2023.12.002
Citation: XIE Xiongzhou, YE Daoming, HUANG Junhui, WANG Jianyong. Influences of Turbulent Prandtl Number Models on Predicting sCO2 Heat Transfer in Horizontal Circular Tubes[J]. Journal of Chinese Society of Power Engineering, 2023, 43(12): 1539-1548,1584. DOI: 10.19805/j.cnki.jcspe.2023.12.002

湍流普朗特数模型对水平圆管内sCO2传热预测的影响

Influences of Turbulent Prandtl Number Models on Predicting sCO2 Heat Transfer in Horizontal Circular Tubes

  • 摘要: 基于SST k-ω湍流模型系统探究了典型湍流普朗特数模型对水平圆管内超临界二氧化碳传热数值模拟的影响,并通过与实验数据的对比,分析不同湍流普朗特数模型的预测能力。结果表明:在弱浮升力效应下,定常湍流普朗特数(Pr_t=0.85)模型具有较可靠的预测能力,预测的壁温最大偏差小于5 K;但在强浮升力效应下,Pr_t=0.85时计算出现较大偏差,而引入的现有典型变湍流普朗特数修正模型改善效果不佳。经深层次分析发现,湍流普朗特数模型对超临界二氧化碳流动传热边界层的影响显著,从而决定湍流传热性能。

     

    Abstract: The effects of different Prt models on the numerical simulations of turbulent heat transfer of supercritical carbon dioxide in horizontal tubes were systematically investigated using the SST k-ω turbulence model and the predictive capability of different Prt models was analyzed by comparing against experimental data. Results show that under the condition of low-level buoyancy, the constant turbulent Prandtl number of 0.85 exhibits a good predictive ability, and the maximum deviation for wall temperatures is less than 5 K. Under the condition of strong buoyancy, larger deviations appear for the predictions using Prt=0.85 and the existing models of variable turbulent Prandtl numbers that are corrected for supercritical heat transfer have been demonstrated to be invalid as well. Through in-depth analysis, the turbulent Prandtl number models have profound impacts on fluid flow & heat transfer of supercritical carbon dioxide in the boundary layer, and then determine the turbulent heat transfer performance.

     

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