基于高保真多物理耦合的HTR-PM平衡堆芯分析

High-fidelity HTR-PM Equilibrium Core Analysis Based on Multi-physics Coupling Framework

  • 摘要: 平衡堆芯是球床式高温气冷堆在线换料过程的最终稳定状态,传统方法多采用空间均匀化等近似手段处理球床几何,虽能满足工程应用需求,但模拟精度不足。为解决该问题,以球床模块式高温气冷堆(HTR-PM)为例,基于高保真蒙特卡罗、计算流体力学(多孔介质-单球导热耦合)、离散元方法耦合模拟框架开展了堆芯倒换料模拟。为选取倒换料方案,提出了堆芯倒换料的矩阵迭代简化模拟方法,实现了不同方案的快速对比,进而确定了收敛性更优的固定换料比例方案。该方案收敛至平衡堆芯所需模拟的倒换料轮次约为20,计算耗时约为1个月。本文首次获得了HTR-PM平衡堆芯下精确到单个燃料球的平衡堆芯结果,实现了有效增殖因数、功率分布、温度分布、燃耗深度分布以及核素含量分布的收敛。

     

    Abstract: As a representative reactor type of the fourth-generation advanced nuclear energy systems, the high-temperature gas-cooled reactor (HTGR) has drawn extensive attention due to its inherent safety and high-temperature characteristics. The pebble-bed HTGR developed in China involves numerous randomly distributed fuel pebbles. The complex geometric structure poses technical challenges for core simulations. Current methods often employ approximate treatments such as spatial homogenization, leading to insufficient simulation accuracy and potential impacts on the correctness of safety parameters. This study, taking the high-temperature gas-cooled reactor pebble-bed module (HTR-PM) as an example, realized equilibrium core modeling based on a high-fidelity neutronics/thermal-hydraulics/pebble-flow coupling simulation framework. The framework included neutron transport simulation with explicit pebble-bed geometry, thermal-hydraulic simulation with coupled porous media-single pebble heat conduction model, and discrete element simulation of pebble flow, using OpenMC, OpenFOAM, and LAMMPS, respectively, achieving single-fuel-pebble-resolution calculations. To model equilibrium core of HTR-PM, a matrix-iterative calculation method was proposed to rapidly simulate the core refueling process so that different refueling schemes could be evaluated and the optimal solution could be identified. The method simplified the burnup depth distribution of fuel pebbles loaded into the core into a 90-dimensional vector and employs matrix multiplication to compute the evolution of this vector after each refueling cycle. Since the matrix used depends solely on the refueling scheme and remains invariant with respect to the vector, this approach enables efficient computation of the evolutionary trends over thousands of refueling cycles for a given scheme. Consequently, it allows for rapid evaluation of the convergence behavior across different refueling schemes. The results indicate that the refueling scheme with fixed discharge burnup limit exhibits an unacceptably slow convergence rate and requires prohibitive computational effort. In contrast, the approach employing a fixed fuel replacement proportion achieves convergence after approximately 15 refueling cycles, demonstrating its capability to support high-fidelity equilibrium core simulations for HTR-PM. A high-fidelity coupling simulation was performed for the HTR-PM refueling process with the fixed fuel replacement proportion scheme, reaching ideal equilibrium core condition with convergent results for effective multiplication factor, power distribution, temperature field, burnup distribution, and nuclide concentration. The single-fuel-pebble-resolution results demonstrate that the equilibrium core parameters, including power distribution, temperature distribution, and burnup depth distribution, align well with physical expectations. Moreover, key safety parameters such as the maximum single-pebble power and the peak fuel temperature remain within design limits.

     

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