基于多孔介质模型的双套管直流蒸汽发生器三维热工水力耦合分析

Three-dimensional Thermal-hydraulic Coupling Analysis of Double-tube Once-through Steam Generator Using Porous Media Model

  • 摘要: 本文针对双套管直流蒸汽发生器(DOTSG)复杂流道导致三维热工水力特性预测难的挑战,提出了一种融合宏观管束与细观流道的多尺度耦合建模框架,开发了基于多孔介质模型的DOTSG热工水力特性分析程序DOTAF。一次侧采用多孔介质模型高效模拟管束区三维流动与传热;二次侧基于适用于窄缝通道的Chexal-Lellouche漂移流模型捕捉两相流动与相变过程;通过动态双向网格-节点数据映射算法实现两侧参数的实时高保真耦合。DOTAF经ACP100原型实验验证,在全工况范围内对一、二次侧出口关键热工参数的预测平均误差小于3%,最大误差低于5%。同时以固有安全一体化反应堆的DOTSG为分析对象开展了数值模拟,DOTAF能有效揭示DOTSG内部复杂的三维热工水力行为与关键物理机制。本工作为紧凑型蒸汽发生器的精细化设计、安全评估与运行优化提供了高效可靠的三维分析工具。

     

    Abstract: The double-tube once-through steam generator (DOTSG) has significant advantages, including high heat exchange efficiency, a compact structural footprint, and a small overall size. These advantages have established its widespread application within the field of small nuclear reactors. In this paper, in response to the challenge in predicting the three-dimensional thermal-hydraulic characteristics of DOTSG caused by complex flow channel geometry, a novel multi-scale coupled modeling framework was proposed. This framework was designed to integrate a macroscopic representation of the entire tube bundle system with a mesoscopic analysis of the detailed flow channels. Based on this foundational framework, a three-dimensional thermal-hydraulic analysis code DOTAF was developed, utilizing a porous media model as its core computational approach. Within the DOTAF code, a porous media model was implemented on the primary side to efficiently simulate the three-dimensional flow patterns and heat transfer processes throughout the tube bundle region. The Chexal-Lellouche drift-flux model, which was recognized for its suitability in modeling narrow-channel configurations, was implemented on the secondary side characterized by narrow annular flow channels to accurately capture the two-phase flow and phase change processes. To ensure a cohesive and high-fidelity simulation, the parameters between the primary and secondary sides were coupled in real time through a dynamic bidirectional grid-node data mapping algorithm, which facilitates continuous and accurate data exchange across the computational domains. The reliability and predictive accuracy of the DOTAF code were subjected to rigorous validation. This validation was conducted against experimental data obtained from the ACP100 reactor prototype. The results demonstrate strong performance across the full spectrum of operational conditions. Specifically, for all key thermal-hydraulic parameters at the outlets of both the primary and secondary sides, the average prediction error is maintained below 3%. Furthermore, the maximum recorded error in any test case remains under 5%, confirming the code’s robustness. Beyond validation, the DOTAF code was deployed for a comprehensive numerical simulation study focusing on a specific DOTSG designed for an integral inherent safety reactor, which successfully demonstrates the program’s capability. DOTAF proves effective in revealing the complex, inherent three-dimensional thermal-hydraulic behaviors within the DOTSG and in elucidating the key underlying physical mechanisms governing its performance. In summary, this research project has culminated in the development of the DOTAF analysis tool. This work provides an efficient, reliable, and three-dimensional analytical resource. The tool is directly applicable to supporting several critical engineering activities for compact steam generators, including their refined design, comprehensive safety assessment, and operational optimization.

     

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