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

Author

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  • Mikołaj Oettingen

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

  • Juyoul Kim

    (Department of NPP Engineering, KEPCO International Nuclear Graduate School, 658-91 Haemaji-ro, Seosaeng-myeon, Ulju-gun, Ulsan 45014, Republic of Korea)

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.

Suggested Citation

  • Mikołaj Oettingen & Juyoul Kim, 2023. "Detection of Numerical Power Shift Anomalies in Burnup Modeling of a PWR Reactor," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3373-:d:1066271
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    References listed on IDEAS

    as
    1. Jinfeng Li, 2020. "Monte Carlo Investigation of the UK’s First EPR Nuclear Reactor Startup Core Using Serpent," Energies, MDPI, vol. 13(19), pages 1-15, October.
    2. Jerzy Cetnar & Przemysław Stanisz & Mikołaj Oettingen, 2021. "Linear Chain Method for Numerical Modelling of Burnup Systems," Energies, MDPI, vol. 14(6), pages 1-19, March.
    3. Kaitlyn Elizabeth Barr & Sooyoung Choi & Junsu Kang & Brendan Kochunas, 2021. "Verification of MPACT for the APR1400 Benchmark," Energies, MDPI, vol. 14(13), pages 1-28, June.
    4. Przemysław Stanisz & Mikołaj Oettingen & Jerzy Cetnar, 2022. "Development of a Trajectory Period Folding Method for Burnup Calculations," Energies, MDPI, vol. 15(6), pages 1-15, March.
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    Cited by:

    1. Zedong Zhou & Jinsen Xie & Nianbiao Deng & Pengyu Chen & Zhiqiang Wu & Tao Yu, 2023. "Effect of KLT-40S Fuel Assembly Design on Burnup Characteristics," Energies, MDPI, vol. 16(8), pages 1-14, April.
    2. Gianfranco Di Lorenzo & Erika Stracqualursi & Giovanni Vescio & Rodolfo Araneo, 2024. "State of the Art of Renewable Sources Potentialities in the Middle East: A Case Study in the Kingdom of Saudi Arabia," Energies, MDPI, vol. 17(8), pages 1-27, April.
    3. Mikołaj Oettingen & Juyoul Kim, 2024. "Monte Carlo Modeling of Isotopic Changes of Actinides in Nuclear Fuel of APR1400 Pressurized Water Reactor," Energies, MDPI, vol. 17(19), pages 1-24, September.

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