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Koike, Akari*; Nemoto, Masaya*; Nakashima, Risako*; Sakai, Takaaki*; Doda, Norihiro; Tanaka, Masaaki
Proceedings of 2023 International Congress on Advanced in Nuclear Power Plants (ICAPP 2023) (Internet), 2 Pages, 2023/04
To evaluate the effect of the operator's recognition of the accident management (AM) necessity on plant safety, the operator's recognition of the AM necessity was modeled as a function of time-dependent success probability, and dynamic PRA analyses were performed for a sodium-cooled fast reactor during abnormal snowfall. The analysis results showed that the operator's recognition of the snowfall can avoid the core damage at an earlier stage after the accident.
Koike, Akari*; Nakashima, Risako*; Nemoto, Masaya*; Sakai, Takaaki*; Doda, Norihiro; Tanaka, Masaaki
Proceedings of 12th Japan-Korea Symposium on Nuclear Thermal Hydraulics and Safety (NTHAS12) (Internet), 4 Pages, 2022/10
Due to global warming, the amount of snowfall in abnormal snowfall events may increase in the future. In order to evaluate the effect of global warming on the probability of exceeding the limit temperature at the core outlet as a core damage factor in a sodium-cooled fast reactor, a hazard curve of snowfall was developed considering global warming, and a dynamic PRA was performed. As a result, it was found that the amount of snowfall in abnormal snowfall events increases due to global warming, and the probability of exceeding the limit temperature increases.
Nakashima, Risako*; Koike, Akari*; Sakai, Takaaki*; Doda, Norihiro; Tanaka, Masaaki
Proceedings of 29th International Conference on Nuclear Engineering (ICONE 29) (Internet), 6 Pages, 2022/08
In development of a quantitative risk assessment method to the external hazards for a sodium-cooled fast reactor, a dynamic PRA using the Continuous Markov chain Monte Carlo (CMMC) method was performed to evaluate the effect of global warming on the probability of exceeding the temperature limit as a core damage factor. There is a possibility that the amount of snowfall in abnormal snowfall events will increase due to global warming in the future. A hazard curve of snowfall considering global warming was developed. The results show that the probability of exceeding the temperature limit is increased by the abnormal snowfall events due to global warming.
Koike, Akari*; Sakai, Takaaki*; Doda, Norihiro; Tanaka, Masaaki
no journal, ,
To evaluate the effect of the operator's recognition of the accident management (AM) necessity on plant safety, the operator's recognition of the AM necessity was modeled as a function of time-dependent success probability, and dynamic PRA analyses using the Continuous Markov chain Monte Carlo method (CMMC) were performed for a sodium-cooled fast reactor during abnormal snowfall event. The analysis results showed that AM was effective in delaying the core damage and that the recognition timing by the operator was an important factor in avoiding the core damage after the accident.
Koike, Akari*; Nakashima, Risako*; Sakai, Takaaki*; Doda, Norihiro; Tanaka, Masaaki
no journal, ,
A dynamic PRA using the Continuous Markov chain Monte Carlo (CMMC) method was performed for a sodium-cooled fast reactor to evaluate abnormal snowfall events in which the snowfall amount tends to increase due to global warming. In the analysis, the probability of exceeding the core outlet temperature limit after 24 hours was evaluated. The loss of functions of the emergency diesel generator and the air cooler due to snowfall and the recovery of the functions by the operator's snow removal as an accident management measure were considered. The results show that snow removal as an accident management measure is not effective under abnormal snowfall conditions with considering global warming.
Nakashima, Risako*; Koike, Akari*; Sakai, Takaaki*; Doda, Norihiro; Tanaka, Masaaki
no journal, ,
There is a possibility that the amount of snowfall in abnormal snowfall events will increase due to global warming in the future. A hazard curve of snowfall considering global warming was developed, and a dynamic PRA using the Continuous Markov chain Monte Carlo (CMMC) method was performed for a sodium-cooled fast reactor to evaluate the effect of global warming on the probability of exceeding the temperature limit as a core damage factor. The results show that the amount of snowfall in abnormal snowfall events is likely to increase due to global warming, and the probability of exceeding the temperature limit increases in that case.