Document: NUREG-0800
Document ID: e32f0820-4e33-476e-aa36-4ca8c2c64af0
Document Type: srp
Title: Use of Probabilistic Risk Assessment in Plant-Specific, Risk-Informed Decisionmaking:
Source: NUREG-0800
Source URL: https://www.nrc.gov/docs/ML0119/ML011940192.pdf
Revision Date: 2023-06
Chapter: 19
Section ID: 19.0
CFR Part: 
CFR Title: 

Content:
compared with the acceptance guidelines. This argument was supported either by explicit propagation or by a qualitative and/or sensitivity analysis showing that no event contributing to the change in risk is SUbject to significant uncertainty. If the risk-informed application is based on a qualitative assessment of the change to risk, the application is shown to result in a decrease in plant risk, or is risk neutral, or CDF and LERF increases are shown to be acceptable on the basis of bounding evaluations or sensitivity studies. Integrated Decisionmakinq Process Results from traditional engineering analyses and risk analyses have been used to ensure that the principles for risk-informed decisionmaking have been met. Potential analysis limitations, uncertainties and conflicts are resolved by use of conservative results, or by use of appropriate implementation and monitoring strategies, or by use of appropriate compensatory measures. The integrated de'isionmaking process is well-defined, systematic, repeatable, and scrutable. The scope of implementation of the change is appropriate for, and commensurate with, the level of confidence in the results of the analysis. Implementation and Monitoring Strategies The implementation process is commensurate with the uncertainty associated with the results of the traditional and probabilistic engineering evaluations. A monitoring program which could adequately track the performance of equipment covered by the proposed licensing changes was established. It was demonstrated that the procedures and evaluation methods will provide reasonable assurance that performance degradation will be detected and that the corrective action plan will ensure that appropriate actions can be taken before SSC functionality and plant safety is compromýised. Data from similar plants will be used if needed. In addition to the tracking of performance of SSCs affected by the application, the performance monitoring process also includes tracking the