ScholarWorks: Group constants generation by Monte Carlo code MCS for LWR analysis

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Computational Reactor physics & Experiment lab (CORE Lab)

Research Interests

iSMR development
Reactor Physics
Artificial Intelligence for Nuclear Power Plant Applications
Nuclear reactor core design methodology/computer code development
Advanced nuclear reactor core design for marine/space/hydrogen production applications
Generation IV reactor development (SFR, LFR, MSR, VHTR)
Advanced numerical method development
Sensitivity Analysis and Uncertainty Quantification
High performance computing/parallel computing

Group constants generation by Monte Carlo code MCS for LWR analysis

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Abstract: This paper presents the generation of few-group constants using the Monte Carlo (MC) code MCS for light-water reactor (LWR) analysis. The few-group constants are fed into the conventional diffusion nodal code to perform neutronic analysis. This study investigates three methods, B1, P1, and CASMO-4E (CM), to obtain the critical spectrum for correcting the cross-section for LWR analysis. The inflow transport correction based on the PN solution is integrated into the MCS in addition to the typical outflow transport correction in the MC codes. A numerical case study comparing the two-step code MCS/PARCS and MCS standalone results is required to determine the best combination in the transport/diffusion two-step to achieve a high-fidelity LWR analysis. Numerical tests with small and large LWR cores show that the CM method combined with inflow transport correction is the most accurate for two-step code MCS/diffusion in terms of the eigenvalues and power profiles.