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COMMON CAUSE FAILURE METHODS IMPACTING SDP EVALUATIONS Greg Krueger Senior Technical Advisor Jim Slider Senior Project Manager September 19, 2017
SITUATION
- PROBLEM: NRCs current quantitative-focused approach to the treatment of Common Cause Failure (CCF) in event/condition assessment is not aligned with PRA best practices for risk-informing key technical decisions
- CONSEQUENCES: Misalignment leads to resource-intensive debate with licensees when NRC treatment of CCF drives an SDP result or disincentivizes behaviors helpful to safety
- OPPORTUNITY: Gaining alignment on how to risk-inform CCF insights in an event/condition assessment would boost confidence in, and clarity of, SDP outcomes 2
TODAYS TOPICS
- 1. CCF considerations for event/condition evaluations
- 2. Consideration of a quantitative sensitivity method to support a structured evaluation of CCF
- 3. Potential development/enhancement of guidance associated with qualitative CCF considerations in event/condition assessment 3
MEETING GOALS
- Illustrate the potential to streamline the use of industry and NRC resources applied during SDPs
- Discuss approaches to assess the impact of levels of defense against CCF
- Discuss development and use of additional qualitative CCF guidance for SDP purposes 4
CCF CONSIDERATIONS FOR EVENT/CONDITION EVALUATION
- CCF can be a significant contributor for event/condition applications typically associated with SDP evaluations
- The application of common cause in SDP evaluations involving multi-train systems should reflect a plant-specific assessment of CCF defenses
- Limitations of the NRCs current CCF database can drive an overestimation of the CCF impact in an event/condition evaluation 5
QUANTITATIVE CCF RESULTS Current RASP CCF Treatment if Draft NUREG - the alpha-factor estimates are no additional information is not plant-specific, and estimates do not reflect available on extent of 3.00E-06 plant-to-plant variability condition/cause is known 2.50E-06 Delta CDF Nominal CCF 2.00E-06 Treatment if robust CCF defenses in 1.50E-06 place and extent of condition/cause is 1.00E-06 known 5.00E-07 0.00E+00 1 5 10 20 50 100 233 6 Factor Increase in CCF Green/White Threshold
BENEFITS OF CONSIDERING CCF SENSITIVITIES
- A sensitivity approach highlights how much a quantitative CCF contributor drives the conclusion of significance Illustrating the sensitivities in a graphical manner highlights the magnitude the CCF data may have on the decision-making process
- The impact of known causal factors or specific conditions can be qualitatively applied when a range of results are presented
- The sensitivity approach improves understanding of the relationship between the CCF data used and the event/condition evaluation 7
POTENTIAL IMPACT ON RESULTS WHEN CCF IS APPLIED
- Overestimating CCF risk significance can cause undue effort for both the utility and NRC that may not be commensurate with safety significance of the issue
- Applying full conditional causal factors which do not reflect the proximate cause and plant-specific differences may overestimate the risk associated with an event/condition 8
EXAMPLES OF QUALITATIVE ELEMENTS FOR IMPROVED RISK-INFORMED DECISION-MAKING ON CCF
- Consideration of just-in-time training and technical human performance briefs
- Oversight and observations by others
- Use of subject matter experts
- Original equipment manufacturer consultation
- Quality Assurance modification inspections
- Evidence of individual errors 9
EXAMPLES OF QUALITATIVE ELEMENTS FOR IMPROVED RISK-INFORMED DECISION-MAKING ON CCF (CONT.)
- State of knowledge of actual similar CCF events
- Discussion of time of the subsequent failure relative to the original failure Time needed for failure to manifest itself 10
SUMMARY
- Consideration of CCF for event/condition assessment in a risk-informed context is needed to streamline NRC and industry resources applied during SDP evaluations
- Application of quantitative CCF sensitivities can be accomplished using existing models and methods and provide insight of CCF impact on SDP decision-making
- A defined set of qualitative factors allows for a graded approach that more accurately represents the condition or event being evaluated. They will also provide a roadmap of pre-emptive industry defenses to limit the potential for common cause 11
POSSIBLE NEXT STEPS
- 1. Work to develop a set of qualitative factors that could be used as prompts during the SDP decision-making process
- 2. Develop simple criteria that could be used to guide the quantitative sensitivity process 12
NEI Contacts:
Greg Krueger, gak@nei.org Jim Slider, jes@nei.org