Performing a multi-unit level-3 PSA with MACCS

Nathan E. Bixler · Sung-yeop Kim

11 citations0/0 files storedNuclear Engineering and Technology

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Risk and Safety Analysis Nuclear and radioactivity studies Radioactive contamination and transfer

Abstract

MACCS (MELCOR Accident Consequence Code System), WinMACCS, and MelMACCS now facilitate a multi-unit consequence analysis. MACCS evaluates the consequences of an atmospheric release of radioactive gases and aerosols into the atmosphere and is most commonly used to perform probabilistic safety assessments (PSAs) and related consequence analyses for nuclear power plants (NPPs). WinMACCS is a user-friendly preprocessor for MACCS. MelMACCS extracts source-term information from a MELCOR plot file. The current development can combine an arbitrary number of source terms, representing simultaneous releases from a multi-unit facility, into a single consequence analysis. The development supports different release signatures, fission product inventories, and accident initiation times for each unit. The treatment is completely general except that the model is currently limited to collocated units. A major practical consideration for performing a multi-unit PSA is that a comprehensive treatment for more than two units may involve an intractable number of combinations of source terms. This paper proposes and evaluates an approach for reducing the number of calculations to be tractable, even for sites with eight or ten units. The approximation error introduced by the approach is acceptable and is considerably less than other errors and uncertainties inherent in a Level 3 PSA.

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References

2013An event classification schema for evaluating site risk in a multi-unit nuclear power plant probabilistic risk assessment 2018Multi-unit Level 1 probabilistic safety assessment: Approaches and their application to a six-unit nuclear power plant site 2018Multi-unit Level 3 probabilistic safety assessment: Approaches and their application to a six-unit nuclear power plant site

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2023Integration of Level 3 probabilistic risk assessment for nuclear power plants with transportation simulation considering earthquake hazards 2022Machine learning-based categorization of source terms for risk assessment of nuclear power plants 2022An event sequence modeling method in multi-unit probabilistic risk assessment for high temperature gas-cooled reactor

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