PSAM 16 Conference Paper Overview
Welcome to the PSAM 16 Conference paper and speaker overview page.
Lead Author: Han Bao Co-author(s): Hongbin Zhang: hzhang@terrapower.com
Tate Shorthill: Tate.Shorthill@inl.gov
Edward Chen: echen2@ncsu.edu
| Common Cause Failure Evaluation of High Safety-significant Safety-related Digital Instrumentation and Control Systems using IRADIC Technology |
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| Digital instrumentation and control (DI&C) systems in nuclear power plants (NPPs) have many advantages over analog systems but also pose different engineering and technical challenges, such as potential threats due to common cause failures (CCFs). This paper proposes an integrated risk assessment technology for DI&C systems (IRADIC) developed by Idaho National Laboratory for dealing with potential software CCFs in DI&C systems of NPPs. The methodology development of the IRADIC technology on the quantitative evaluation of software CCFs in high safety-significant safety-related DI&C systems in NPPs is illustrated in this paper. In IRADIC, qualitative hazard analysis and quantitative reliability and consequence analysis are successively implemented to obtain quantitative risk information, compare with respective risk evaluation acceptance criteria, and provide suggestions for risk reduction and design optimization. A comprehensive case study was also performed and documented in this paper. Results show that the IRADIC technology can effectively identify potential digital-based CCFs, estimate their failure probabilities, and evaluate their impacts to system and plant safety. |
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Author and Presentation Info
Lead Author Name: Han Bao (han.bao@inl.gov)
Bio: Han Bao is a Nuclear Research & Development Scientist from Idaho National Laboratory who has been working on digital I&C risk assessment, machine learning applications in nuclear engineering and digital twin development for almost 10 years. Currently he is leading a digital I&C risk assessment project under the Light Water Reactor Sustainability (LWRS) Program to support transition from analog to digital technologies for nuclear industry and to assure the safety and reliability of vital digital I&C systems in nuclear power plants. He has led the methodology development and demonstration of an integrated risk assessment framework for digital I&C to provide a sustainable scientific basis for enabling industry to balance the digital-related risks, costs, reliability, and safety. He has also been conducting research in risk-informed design optimization of digital twins and AI-guided control systems. Han holds a Ph.D. degree in nuclear engineering from North Carolina State University.
Country: ---
Company: Idaho National Laboratory
Job Title: Nuclear Research & Development Scientist
Bio: Han Bao is a Nuclear Research & Development Scientist from Idaho National Laboratory who has been working on digital I&C risk assessment, machine learning applications in nuclear engineering and digital twin development for almost 10 years. Currently he is leading a digital I&C risk assessment project under the Light Water Reactor Sustainability (LWRS) Program to support transition from analog to digital technologies for nuclear industry and to assure the safety and reliability of vital digital I&C systems in nuclear power plants. He has led the methodology development and demonstration of an integrated risk assessment framework for digital I&C to provide a sustainable scientific basis for enabling industry to balance the digital-related risks, costs, reliability, and safety. He has also been conducting research in risk-informed design optimization of digital twins and AI-guided control systems. Han holds a Ph.D. degree in nuclear engineering from North Carolina State University.
Country: ---
Company: Idaho National Laboratory
Job Title: Nuclear Research & Development Scientist