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Realistic estimation framework of radioactive release distributions into the environment during nuclear power plant accidents

  • Wasin Vechgama (Nuclear and Radiation Safety Division, Korea National University of Science and Technology) ;
  • Jaehyun Cho (Energy Systems Engineering, Chung-Ang University)
  • Received : 2023.10.24
  • Accepted : 2024.03.10
  • Published : 2024.08.25

Abstract

Since the level 2 PSA of OPR-1000 was the requirement for regulatory purposes, Cs-137 release estimation was contained as the Nuclear Safety Act of ROK in which the Cs-137 release frequency exceeding 100 TBq was determined to happen less than 1.0E-6 per year after the Fukushima Daiichi Accident. However, Cs-137 release estimation from the conventional level 2 PSA of OPR-1000 provided uncertainty due to dominant accident sequence consideration. Thus, this study aimed to develop systematic methods through the overall framework to quantify realistic uncertainty concerns of radioactive material release using sensitivity and uncertainty analysis methods and apply them to OPR-1000. This framework helped to quantify confidential value for the Cs-137 release under the BEPU approach using both parametric and non-parametric methods to cover both realistic and conservative points. Uncertainty propagation analysis showed the unexpected uncertainty increase of Cs-137 release exceeding 100 TBq. The non-parametric uncertainty analysis provided higher conservative concerns for safety than the realistic concerns in terms of economics when compared with the parametric uncertainty analysis. Wilks' uncertainty analysis showed the importance to consider conservative Cs-137 release in order to reach the higher safety need. Sensitivity analysis showed reasonable relationships between engineering safety parameters with the Cs-137 release.

Keywords

Acknowledgement

This research was supported by the Chung-Ang University Research Grants in 2023. This work is also supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT: Ministry of Science and ICT) (No. RS-2022-00143695). Additionally, the authors must thank the opportunity from Korea Atomic Energy Research Institute (KAERI) assnd Korea National University of Science and Technology (UST) for all facility and time resources in research period.

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