TY - JOUR
T1 - Modeling interconnections of safety and financial performance of nuclear power plants, Part 2: Methodological developments and case study
AU - Beal, John
AU - Sakurahara, Tatsuya
AU - Farshadmanesh, Pegah
AU - Reihani, Seyed A.
AU - Kee, Ernie
AU - Rowell, Arden
AU - Yilmaz, Fatma
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 under Award # 17–12614 . Part of this material is based upon work supported under a Department of Energy University Programs Graduate Fellowship. Any opinions, findings, conclusions, or recommendations expressed in this report are those of the authors and do not necessarily reflect the views of the Department of Energy, Office of Nuclear Energy. The authors thank the Socio-Technical Risk Analysis Research Laboratory ( http://soteria.npre.illinois.edu/ ) team members for their review of this manuscript.
PY - 2024/6
Y1 - 2024/6
N2 - This research study theorizes and quantifies the interconnections of safety and financial performance of nuclear power plants (NPPs). NPP safety refers to occupational safety and system safety, while financial performance refers to the monetary values associated with operation and maintenance (O&M) strategies. The results of this research study are summarized in three journal manuscripts including Parts 1, 2, and 3. This paper covers Part 2 of this study. Part 1 journal manuscript has included a thorough review and analysis of related studies with respect to their theoretical bases and methodological quantification techniques for the estimation of safety and financial performance metrics of NPPs. The review in Part 1 indicated that a model-based approach is necessary to explicitly analyze the interconnections of safety and financial performance considering their underlying factors. Such a model-based approach is offered in this paper (i.e., Part 2 of this study) by developing an Integrated Enterprise Risk Management (I-ERM) methodological framework. The I-ERM framework quantifies NPP safety and financial performances in a unified platform where their underlying physical degradation mechanisms, coupled with maintenance performance (considering human and organizational factors), are explicitly included in constituting modules. Because maintenance performance and physics of degradation are common influencing factors on both safety and financial performances, the explicit modeling of maintenance-physics coupling helps quantitively consider dependencies between safety and financial performance; thus, advances the assessment and management of safety and financial performances in NPPs. This paper implements the I-ERM framework for an NPP case study, generating safety and financial performance metrics for two O&M strategies to demonstrate the practical value of the I-ERM framework to decision-makers. Part 3 of this study presents a detailed development of one of the I-ERM modules, i.e., Probabilistic Physics-of-Failure (PPoF) analysis, and its connection with the other I-ERM modules. The outcome of this research aids NPP decision-makers to identify O&M strategies that reduce O&M costs, mitigate plant shut-downs and loss of power, and maintain (or improve) safety.
AB - This research study theorizes and quantifies the interconnections of safety and financial performance of nuclear power plants (NPPs). NPP safety refers to occupational safety and system safety, while financial performance refers to the monetary values associated with operation and maintenance (O&M) strategies. The results of this research study are summarized in three journal manuscripts including Parts 1, 2, and 3. This paper covers Part 2 of this study. Part 1 journal manuscript has included a thorough review and analysis of related studies with respect to their theoretical bases and methodological quantification techniques for the estimation of safety and financial performance metrics of NPPs. The review in Part 1 indicated that a model-based approach is necessary to explicitly analyze the interconnections of safety and financial performance considering their underlying factors. Such a model-based approach is offered in this paper (i.e., Part 2 of this study) by developing an Integrated Enterprise Risk Management (I-ERM) methodological framework. The I-ERM framework quantifies NPP safety and financial performances in a unified platform where their underlying physical degradation mechanisms, coupled with maintenance performance (considering human and organizational factors), are explicitly included in constituting modules. Because maintenance performance and physics of degradation are common influencing factors on both safety and financial performances, the explicit modeling of maintenance-physics coupling helps quantitively consider dependencies between safety and financial performance; thus, advances the assessment and management of safety and financial performances in NPPs. This paper implements the I-ERM framework for an NPP case study, generating safety and financial performance metrics for two O&M strategies to demonstrate the practical value of the I-ERM framework to decision-makers. Part 3 of this study presents a detailed development of one of the I-ERM modules, i.e., Probabilistic Physics-of-Failure (PPoF) analysis, and its connection with the other I-ERM modules. The outcome of this research aids NPP decision-makers to identify O&M strategies that reduce O&M costs, mitigate plant shut-downs and loss of power, and maintain (or improve) safety.
KW - Enterprise Risk Management (ERM)
KW - Financial analysis
KW - Maintenance strategies
KW - Nuclear Power Plant (NPPs)
KW - Operational and Maintenance (O&M)
KW - Probabilistic Risk Assessment (PRA)
KW - Probabilistic Safety Assessment (PSA)
KW - Safety
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U2 - 10.1016/j.pnucene.2024.105100
DO - 10.1016/j.pnucene.2024.105100
M3 - Article
SN - 0149-1970
VL - 171
JO - Progress in Nuclear Energy
JF - Progress in Nuclear Energy
M1 - 105100
ER -