To support licensing of the transition from analog instrumentation and control (I&C) technologies to digital technologies in a nuclear power facility.
Integrated risk-assessment methodologies for digital I&C assure the long-term safety and reliability of vital systems, reduce uncertainty in licensing costs and time, and support integration of digital systems in the plant and more-efficient upgrades of technology for the entire life cycle of nuclear power plants.
Researchers will develop a risk-informed analysis process that may be used as a part of the qualification basis to replace analog I&C with digital safety class systems at nuclear power plants. Completion of this project will occur when the methodology is demonstrated on a representative system that meets requirements for current safety rated technology.
2022—complete enhancements of the integrated digital risk assessment for digital I&C framework and demonstrate its capabilities via various safety analyses; produce a plug-and-play capability for the platform that enhances its robustness and flexibility by allowing integration with various advanced modeling tools and methods to better analyze accident scenarios.
2023—complete development of the integrated digital risk assessment for digital I&C technology by incorporating the state-of-the-art techniques such as dynamic probabilistic risk analysis and human-reliability analysis, machine-learning and artificial-intelligence, validation, and uncertainty quantification.
2024—apply the integrated digital risk assessment for digital I&C methodology to support formalizing new risk-informed regulatory processes, particularly in defense-in-depth and diversity applications.
Digital instrument and control systems located in the INL's Human System Simulation Laboratory.