PSAM 16 Conference Paper Overview
Welcome to the PSAM 16 Conference paper and speaker overview page.
Lead Author: Sung-Min Shin Co-author(s): Sang Hun Lee / k753lsh@kins.re.kr
Seung Ki Shin / skshin@kaeri.re.kr
| A novel approach for quantitative importance analysis of DI&C systems in NPP |
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| The safety-related I&C system of nuclear power plants(NPPs) has quite complex interactions between its components in accordance with the redundancy/diversity design concept applied to ensure their functions, and the complexity is further increased with the recent introduction of digital characteristics. Meanwhile, safety signals can be generated/executed not only automatically but also manually but it is understood that the linkage between them was insufficient in the PSA process, the analysis framework of the existing NPP I&C system. Moreover, it is very difficult to secure quantified failure information of digital components required in analyzing the DI&C system according to the PSA framework. Therefore, this study proposes a new approach to resolve these problems, that is, the complex interactions between system components, the insufficient consideration on the relation between automatic and manual safety signal generation/execution, and the difficulty of securing failure information of digitalized components for PSA analysis. The method proposed in this study basically includes the human element from the system modeling phase to integrate automatic/manual aspects and assigns weights to related elements by dividing the redundancy/diversity characteristics of the DI&C system into macro and micro perspectives. When a specific component is unavailable, the effect of it is calculated in the microscopic perspective first and expanded to the macroscopic point of view, based on the assigned weights. The methodology was explained through simple examples, in addition, to verify its validity, a real-world system was analyzed using the methodology and the result was presented. The methodology is expected can be used to derive useful insights from the design to improvement stages for more diverse I&C systems by enabling quantitative importance analysis of without failure information. |
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Author and Presentation Info
Lead Author Name: Sung Min Shin (smshin@kaeri.re.kr)
Bio: Sung-Min Shin received a Ph.D. degree in nuclear and quantum engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea in 2016. He is currently a senior researcher with the Korea Atomic Energy Research Institute (KAERI). His research interests include the safety assessment of digital instrumentation and control (DI&C) and its probabilistic safety assessment (PSA) application. Recently, He is also interested in STAMP(Systems-Theoretic Accident Model and Processes)/STPA(Systems-Theoretic Process Analysis) application for analyzing the risk factors of DI&C.
Country: South Korea
Company: Korea Atomic Energy Research Institute
Job Title: Senior Researcher
Bio: Sung-Min Shin received a Ph.D. degree in nuclear and quantum engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea in 2016. He is currently a senior researcher with the Korea Atomic Energy Research Institute (KAERI). His research interests include the safety assessment of digital instrumentation and control (DI&C) and its probabilistic safety assessment (PSA) application. Recently, He is also interested in STAMP(Systems-Theoretic Accident Model and Processes)/STPA(Systems-Theoretic Process Analysis) application for analyzing the risk factors of DI&C.
Country: South Korea
Company: Korea Atomic Energy Research Institute
Job Title: Senior Researcher