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Technical Papers – Special section on the Seismic Analysis and Risk Assessment of Nuclear Facilities

Cost- and Risk-Based Seismic Design Optimization of Nuclear Power Plant Safety Systems

ORCID Icon, , &
Pages 1687-1711 | Received 07 Dec 2020, Accepted 13 May 2021, Published online: 20 Aug 2021
 

Abstract

Seismic analysis, design, and qualification of systems, structures, and components (SSCs) is a significant contributor to the capital cost of a nuclear power plant. To reduce capital costs of advanced nuclear power plants and make commercial nuclear energy more competitive, innovations are needed in their structural design and construction, and not just in the reactor core and associated systems. Seismic isolation has been identified as an important cost-cutting technology that enables standardization of equipment across various sites. This paper develops and demonstrates a cost- and risk-based seismic design optimization of a representative safety system in a nuclear power plant with the dual goals of minimizing overnight capital cost and meeting safety goals. The design optimization can also include component seismic isolation, in which case, the optimized design includes a set of equipment that needs to be seismically isolated to minimize capital cost. The open-source codes MASTODON and Dakota are used for seismic probabilistic risk assessment and design optimization, respectively. A generic nuclear facility with a safety system comprising SSCs that are common to nuclear power plants is considered for the demonstration of the design optimization and is assumed to be located at the Idaho National Laboratory site. Generic costs and seismic design cost functions are assumed for the SSCs of the safety system. The sum of the costs of the SSCs is minimized in the optimization process, while the risk of failure of the safety system is provided as a constraint. Results show that the optimization process reduces capital costs significantly while automatically prioritizing the safety of SSCs that contribute most to the risk of the safety system.

Acknowledgments

This study was funded by the DOE through the Office of Technology Transitions, Advanced Research Projects Agency—Energy, Office of Nuclear Energy, Southern Nuclear Development Company, X-Energy, and TerraPower. In addition to the authors of this paper, the project participants included Jason Redd from Southern Nuclear Development Company, Paul Kirchman and Harlan Bowers from X-Energy, Michael Cohen and Kevin Kramer from TerraPower, and Sai Sharath Parsi and Kaivalya Lal from the University at Buffalo, State University of New York. The contributions of the project team and the financial support from the various agencies is gratefully acknowledged. The authors also acknowledge the anonymous reviewers whose feedback and suggestions have improved the quality of this paper.

Notes

a The MASTODON source code can be freely downloaded from the GitHub page, https://github.com/idaholab/ mastodon, and the documentation can be found on the MASTODON website, https://mooseframework.inl.gov/ mastodon.

b It must be noted that in practice, nuclear systems have a range of redundancies and typically do not have single points of failure such as the idealized safety system here. Such a fault tree is chosen here to demonstrate the importance of redundancies on the capital cost.

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