​​​​​​​​​​​​​​​​​​​​​Risk-Informed Plant Health and Asset Management​​​​​

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Goa​​​l

To develop better analytical methods and tools for the nuclear power industry to make risk-informed decisions regarding plant equipment reliability and asset management.

Researchers will develop data analytics tools coupled with risk-informed methods to manage and optimize plant-asset life cycles, budgets, and schedules. These tools and methods enhance the plant operator's ability to manage the performance and health of a nuclear power facility while reducing labor and equipment costs.

Outcome

The research area will produce risk-analysis tools designed to decrease the operational cost and enhance the safety of nuclear power plants in the short-term (for maintenance optimization) and the long-term (during periods of subsequent license renewal). The software and supporting tools will be made available to utilities and vendors that are considering extended operations.

​Planned Major Accomplishments

• ​2022—Demonstrate an enterprise multi-risk analysis framework supporting maintenance strategies and long-term capital-investment optimization. 

• 2023—​Develop a methodology and supporting tool for linking equipment reliability, performance, and health management to identify relationships between equipment failures and causing mechanisms.

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