Abstract
Systematic and comprehensive Probabilistic Risk Assessment (PRA) is used to evaluate risks for Nuclear Power Plants (NPPs), and the risk information is also used to enhance the rationality and accountability of safety-related activities, and to realize efficient management in NPPs. Regulators and industry are discussing the standards and guidelines for the various types of PRA and management for near-future usage. “Risk Monitoring” is the essential item for PRA usage and risk-informed activities, and we assume “At-power risk monitoring in case of On-Line Maintenance” and “Shutdown risk evaluation for every outage” are two key issues for “Risk Monitoring.” This chapter describes the COSMOS Risk Monitoring system, and also of its usage for “At-power risk monitoring in case of On-Line Maintenance” and “Shutdown risk evaluation for every outage.”
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References
Risk Monitors, The State of the Art in Their Development and Use at Nuclear Power Plants (NEA/CSNI/R(2004)20)
K. Ohya, T. Kuramoto, K. Toyoshima, T. Kurokawa, S. Epstein, The risk monitoring system COSMOS for at-power and shutdown conditions, in Proceedings of International Conference on Probabilistic Safety Assessment & Management (Hong Kong, 18–23 May 2008)
K. Murayama, N. Hashida, T. Higashiyama, K. Ohya, S. Kotani, T. Kuramoto, Shutdown risk management during outage using PSA, in Proceedings of International Conference on Probabilistic Safety Assessment & Management (Hong Kong, 18–23 May 2008)
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Nomenclatures
Nomenclatures
- BDD:
-
Binary decision diagram
- CDF:
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Core damage frequency
- DID:
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Defense-in-depth
- ET:
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Event tree
- FT:
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Fault trees
- GUI:
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Graphical user interface
- IE:
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Initiating event
- NEL:
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Nuclear engineering Ltd
- NPP:
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Nuclear power plants
- OLM:
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On-line maintenance
- OOS:
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Out-of-service
- POS:
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Plant operating state
- PRA:
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Probabilistic risk assessment
- RCS:
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Reactor coolant system
- RHRS:
-
Residual heat removal system
- SG:
-
Steam generator
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© 2014 Springer Japan
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Kuramoto, T. (2014). Risk Monitoring for Nuclear Power Plant Applications Using Probabilistic Risk Assessment. In: Yoshikawa, H., Zhang, Z. (eds) Progress of Nuclear Safety for Symbiosis and Sustainability. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54610-8_15
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DOI: https://doi.org/10.1007/978-4-431-54610-8_15
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