Abstract
This paper focuses on developing a framework for comprehensive time-dependent reliability analysis of a nuclear hybrid energy system (NHES) design. Subsystem interactions of this complex integrated system under stochastic electricity demand and load-following operation capabilities require dynamic reliability assessment of the NHES at the component, subsystem, and system levels. In order to capture the dynamic operational behavior of critical systems and components, a detailed thermal hydraulic model of the NHES was generated using Modelica and was tested under different electricity demand histories generated using RAVEN. The physical data (e.g., valve position, flow rates, inlet outlet water temperatures) gathered from Modelica were used to calculate time-dependent failure rates by fitting data into the piecewise Weibull distribution. The optimum maintenance interval was calculated, and maintenance cost estimates based on the calculated reliability metric were made for the selected component. Component time-dependent failure rates were fed into the subsystem reliability model, which was built with non-Markovian Stochastic Petri Nets. The component and subsystem failure rates were calculated and updated every hour to characterize the system’s behavior and to aid in understanding operational reliability of the NHES design at a given time.
Original language | English |
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State | Published - 2018 |
Event | 14th Probabilistic Safety Assessment and Management, PSAM 2018 - Los Angeles, United States Duration: Sep 16 2018 → Sep 21 2018 |
Conference
Conference | 14th Probabilistic Safety Assessment and Management, PSAM 2018 |
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Country/Territory | United States |
City | Los Angeles |
Period | 09/16/18 → 09/21/18 |
Funding
This project was funded by the US Department of Energy’s Office of Nuclear Energy of Advanced Reactor Deployment.
Keywords
- Maintenance Cost
- Nuclear Hybrid Energy System
- Time-dependent Reliability