Selection of a turbulence model to calculate the temperature profile near the surface of VVER-1000 fuel assemblies in the NPP spent fuel pool

A. Voronina, S. Pavlov
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引用次数: 1

Abstract

The paper considers the problem of selecting a turbulence model to simulate natural convection near the surface of a VVER-1000 fuel assembly unloaded from the reactor by computational fluid dynamics (CFD simulation) methods. The turbulence model is selected by comparing the calculated data obtained using the Ansys Fluent software package with the results of experimental studies on the natural convection near the surface of a heated vertical plate immersed in water, which simulates the side face of the VVER-1000 fuel assembly in a first approximation. Two-parameter semi-empirical models of turbulence, k-ε and k-ω, are considered as those most commonly used in engineering design. The calculated and experimental data were compared based on the excessive temperature of the plate surface and the water temperature profiles in the turbulent boundary layer for convection modes with a Rayleigh number of 8∙1013 to 3.28∙1014. It has been shown that the best agreement with experimental data, with an average deviation not exceeding ~ 8%, is provided by the RNG k-ε model which is recommended to be used to simulate natural convection near the surface of VVER-1000 FAs in the NPP spent fuel storage pool.
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选择湍流模型计算核电厂乏燃料池中VVER-1000燃料组件表面附近温度分布
本文研究了用计算流体力学(CFD)方法模拟VVER-1000反应堆卸载燃料组件表面附近自然对流的湍流模型选择问题。采用Ansys Fluent软件对VVER-1000燃料组件侧面进行了一次近似模拟,并将计算数据与浸水加热垂直板表面附近自然对流的实验研究结果进行了比较,选择了湍流模型。紊流的两参数半经验模型k-ε和k-ω是工程设计中最常用的模型。基于瑞利数为8∙1013 ~ 3.28∙1014的对流模式,将平板表面过热温度与湍流边界层水温剖面进行了比较。结果表明,RNG k-ε模型与实验数据吻合最好,平均偏差不超过8%。RNG k-ε模型被推荐用于模拟核电站乏燃料储存池VVER-1000 FAs表面附近的自然对流。
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