Assessment of the three-dimensional flow field in the reactor pressure vessel in Hualong One nuclear power plants

Zonglan Wei, Songwei Li, Sijia Du, Yazhe Lu, Zhifang Qiu
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Abstract

This study uses computational fluid dynamics (CFD) to investigate the three-dimensional flow field under normal operating conditions in the reactor pressure vessel (RPV) in the Hualong One nuclear power plants (NPPs). With a particular focus on the flowrate distribution at the core inlet, the numerical framework is validated against the integral hydraulic experiment in a 1:4-scaled RPV of CNP1000, the prototype of the Hualong One reactor. The simulation results of the normalized flowrate at the core inlet agree reasonably well with the measured data. Based on the experimental data, several methods of calibrating the CFD turbulence model coefficients are suggested by introducing the concepts of data assimilation and machine learning. The flow field in a realistic RPV for Hualong One is predicted using the validated numerical framework, showing that the flowrate distribution at the core inlet is nearly homogeneous and that the turbulent intensity is acceptably low for each fuel assembly. It can provide essential information for the reactor core thermal–hydraulic design and the fuel assembly mechanical assessment.
评估 "华龙一号 "核电站反应堆压力容器内的三维流场
本研究采用计算流体动力学(CFD)方法研究了 "华龙一号 "核电站反应堆压力容器(RPV)正常运行条件下的三维流场。数值框架特别关注堆芯入口处的流速分布,并与 "华龙一号 "反应堆原型 CNP1000 的 1:4 比例 RPV 整体水力实验进行了对比验证。堆芯入口处归一化流速的模拟结果与测量数据相当吻合。在实验数据的基础上,通过引入数据同化和机器学习的概念,提出了几种校准 CFD 湍流模型系数的方法。利用经过验证的数值框架预测了 "华龙一号 "真实反应堆堆芯舱内的流场,结果表明堆芯入口处的流速分布几乎是均匀的,而且每个燃料组件的湍流强度都很低。它可以为反应堆堆芯热工水力设计和燃料组件机械评估提供重要信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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