TY - JOUR
T1 - Modeling interconnections of safety and financial performance of nuclear power plants, part 3
T2 - Spatiotemporal probabilistic physics-of-failure analysis and its connection to safety and financial performance
AU - Cheng, Wen Chi
AU - Beal, John
AU - Sakurahara, Tatsuya
AU - Reihani, Seyed
AU - Kee, Ernie
AU - Mohaghegh, Zahra
N1 - This research is supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Energy University Program (NEUP), Reactor Concepts Research Development and Demonstration (RCRD&D) under Award #17–12614. Part of this material is based upon work supported graduate student John Beal under the U.S. Department of Energy NEUP Graduate Fellowship. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the Department of Energy, Office of Nuclear Energy. Part of this work is conducted by the International Atomic Energy Agency (IAEA) in the frame of the Coordinated Research Project I31030 on “Methodology for Assessing Pipe Failure Rates in Advanced Water-Cooled Reactors.” This work utilizes the Illinois Campus Cluster, a computing resource operated by the Illinois Campus Cluster Program (ICCP) in conjunction with the National Center for Supercomputing Applications (NCSA) and is supported by funds from the University of Illinois at Urbana-Champaign.
This research is supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Energy University Program ( NEUP ), Reactor Concepts Research Development and Demonstration (RCRD&D) under Award #17–12614 . Part of this material is based upon work supported graduate student John Beal under the U.S. Department of Energy NEUP Graduate Fellowship. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the Department of Energy, Office of Nuclear Energy. Part of this work is conducted by the International Atomic Energy Agency (IAEA) in the frame of the Coordinated Research Project I31030 on “Methodology for Assessing Pipe Failure Rates in Advanced Water-Cooled Reactors.” This work utilizes the Illinois Campus Cluster, a computing resource operated by the Illinois Campus Cluster Program (ICCP) in conjunction with the National Center for Supercomputing Applications (NCSA) and is supported by funds from the University of Illinois at Urbana-Champaign.
PY - 2022/11
Y1 - 2022/11
N2 - This paper is a byproduct of a line of research by the authors to analyze interrelationships of safety and financial performance of nuclear power plants (NPPs). The result of this line of research is summarized in three parts: Part 1 covers a categorical review of relevant literature and the theoretical bases that support the methodological developments in Part 2. Part 2 introduces an Integrated Enterprise Risk Management (I-ERM) methodological framework to quantify the interconnections of safety and financial performance with a focus on operation and maintenance (O&M) of NPPs. Part 2 has also demonstrated the applicability and values of the I-ERM methodology through an NPP case study. This paper is Part 3, where detailed development and implementation of one of the I-ERM modules, i.e., probabilistic physics-of-failure (PPoF) analysis, and its connection with safety and financial performance is reported. In this article, the physical failure modeling for hardware components is advanced by incorporating finite element analysis (FEA) into PPoF analysis and coupling the FEA-based PPoF with the maintenance performance through a renewal process model. This article covers two scientific contributions: (i) first-of-its-kind incorporation of FEA into the PPoF model of thermal fatigue for NPP components; and (ii) advancing the interface between the PPoF analysis and the renewal process model in order to deal with spatiotemporal FEA outputs and to efficiently estimate the physical transition rates even when the PPoF outputs are dominated by success data. Through the incorporation of FEA, the resolution of the PPoF analysis is enhanced as spatiotemporal conditions such as stress and temperature can be considered explicitly instead of relying on simplified assumptions or analytical models with reduced spatiotemporal dimensions. To demonstrate an application of the FEA-based PPoF analysis and its coupling with maintenance through the renewal process model, a case study is conducted using excess letdown elbow piping in the chemical and volume control system of a Pressurized Water Reactor.
AB - This paper is a byproduct of a line of research by the authors to analyze interrelationships of safety and financial performance of nuclear power plants (NPPs). The result of this line of research is summarized in three parts: Part 1 covers a categorical review of relevant literature and the theoretical bases that support the methodological developments in Part 2. Part 2 introduces an Integrated Enterprise Risk Management (I-ERM) methodological framework to quantify the interconnections of safety and financial performance with a focus on operation and maintenance (O&M) of NPPs. Part 2 has also demonstrated the applicability and values of the I-ERM methodology through an NPP case study. This paper is Part 3, where detailed development and implementation of one of the I-ERM modules, i.e., probabilistic physics-of-failure (PPoF) analysis, and its connection with safety and financial performance is reported. In this article, the physical failure modeling for hardware components is advanced by incorporating finite element analysis (FEA) into PPoF analysis and coupling the FEA-based PPoF with the maintenance performance through a renewal process model. This article covers two scientific contributions: (i) first-of-its-kind incorporation of FEA into the PPoF model of thermal fatigue for NPP components; and (ii) advancing the interface between the PPoF analysis and the renewal process model in order to deal with spatiotemporal FEA outputs and to efficiently estimate the physical transition rates even when the PPoF outputs are dominated by success data. Through the incorporation of FEA, the resolution of the PPoF analysis is enhanced as spatiotemporal conditions such as stress and temperature can be considered explicitly instead of relying on simplified assumptions or analytical models with reduced spatiotemporal dimensions. To demonstrate an application of the FEA-based PPoF analysis and its coupling with maintenance through the renewal process model, a case study is conducted using excess letdown elbow piping in the chemical and volume control system of a Pressurized Water Reactor.
KW - Enterprise risk management
KW - Finite element analysis
KW - Maintenance
KW - Piping
KW - Probabilistic physics-of-failure
KW - Thermal fatigue
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U2 - 10.1016/j.pnucene.2022.104382
DO - 10.1016/j.pnucene.2022.104382
M3 - Article
AN - SCOPUS:85137260331
SN - 0149-1970
VL - 153
JO - Progress in Nuclear Energy
JF - Progress in Nuclear Energy
M1 - 104382
ER -