Detection of Numerical Power Shift Anomalies in Burnup Modeling of a PWR Reactor

Mikołaj Oettingen () and Juyoul Kim
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Mikołaj Oettingen: Faculty of Energy and Fuels, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland
Juyoul Kim: Department of NPP Engineering, KEPCO International Nuclear Graduate School, 658-91 Haemaji-ro, Seosaeng-myeon, Ulju-gun, Ulsan 45014, Republic of Korea

Sustainability, 2023, vol. 15, issue 4, 1-20

Abstract: This paper presents the detection and interpretation of numerical power density anomalies in the full-core PWR reactor model, developed at the level of RPV. The study shows that in the Monte Carlo neutron transport coupled with burnup modeling, power density anomalies may occur and should be carefully investigated. The power density anomalies originate from the initial core asymmetry due to different designs of top and bottom reflectors and non-uniform initial axial neutron flux distribution. The power density anomalies increase with increasing fuel burnup due to spatial changes in 135 Xe concentrations and following power density redistribution along the reactor core. A method for anomaly detection for the semi-symmetric reactor core is proposed.

Keywords: power anomalies; power density; Monte Carlo; fuel burnup (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:4:p:3373-:d:1066271

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