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Inline critical boron concentration search with p-CMFD feedback in whole-core continuous-energy Monte Carlo simulation

机译:在全核连续能量蒙特卡洛模拟中使用p-CMFD反馈进行在线临界硼浓度搜索

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For the pressurized water reactors (PWRs) depletion analysis, the critical boron concentration (CBC) search is required. In the Monte Carlo (MC) simulation, the CBC can be estimated by the neutron balance approach, which is called as the inline CBC search method in this paper. This method is based on the fixed-point iteration, which results in a number of inactive cycles for the MC simulation. For the acceleration of the convergence and real variance reduction, the p-CMFD feedback is applied to the inline CBC search method. Furthermore, a rejection technique is introduced in the p-CMFD calculation to suppress the error propagation from the p-CMFD parameters to the p-CMFD solution. For a near critical system with zero boron concentration, the inline CBC search method may get in trouble with the negative boron concentration. To solve this problem, the extended particle-tracking algorithm is proposed and verified in a simplified toy problem. In realistic PWR test problems, the numerical results show that the proposed method accurately estimates the CBCs, while the p-CMFD feedback effectively reduces the number of inactive cycles. In conclusion, for the PWR depletion analysis, the continuous-energy MC simulation under the CBC condition can be efficiently performed by the inline CBC search method with the p-CMFD feedback.
机译:对于压水堆(PWR)损耗分析,需要搜索临界硼浓度(CBC)。在蒙特卡洛(MC)模拟中,可以通过中子平衡法估算CBC,在本文中将其称为在线CBC搜索法。此方法基于定点迭代,这会导致MC仿真的许多无效周期。为了加速收敛和减少实际方差,将p-CMFD反馈应用于内联CBC搜索方法。此外,在p-CMFD计算中引入了拒绝技术,以抑制误差从p-CMFD参数传播到p-CMFD解决方案。对于硼浓度为零的近临界系统,在线CBC搜索方法可能会遇到硼浓度为负的问题。为了解决这个问题,提出了扩展的粒子跟踪算法,并在一个简化的玩具问题中进行了验证。在实际的PWR测试问题中,数值结果表明,该方法可以准确地估计CBC,而p-CMFD反馈则可以有效地减少非活动周期的数量。综上所述,对于PWR损耗分析,可以通过带有p-CMFD反馈的在线CBC搜索方法有效地执行CBC条件下的连续能量MC模拟。

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