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

• Published in: Annals of nuclear energy 2018-10, Vol.120, p.402-409
• Main Authors: Jo, YuGwon, Cho, Nam Zin
• Format: Article
• Language: English
• Subjects: Critical boron concentration; Monte Carlo; p-CMFD feedback
• ISSN: 0306-4549; 1873-2100
• DOI: 10.1016/j.anucene.2018.05.050

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.