Prognostics Health Management for Advanced Small Modular Reactor Passive Components

Ryan M. Meyer, Pradeep Ramuhalli, Jamie B. Coble, Mark R. Mitchell, David W. Wootan, Evelyn H. Hirt, Eric J. Berglin, and Leonard J. Bond
Submission Type: 
Full Paper
phmc_13_071.pdf853.18 KBOctober 7, 2013 - 10:26pm

In the United States, sustainable nuclear power to promote energy security is a key national energy priority. Advanced small modular reactors (AdvSMR), which are based on modularization of advanced reactor concepts using non-light-water reactor (LWR) coolants such as liquid metal, helium, or liquid salt may provide a longer-term alternative to more conventional LWR-based concepts. The economics of AdvSMRs will be impacted by the reduced economy-of-scale savings when compared to traditional LWRs and the controllable day-to-day costs of AdvSMRs are expected to be dominated by operations and maintenance costs. Therefore, achieving the full benefits of AdvSMR deployment requires a new paradigm for plant design and management. In this context, prognostic health management of passive components in AdvSMRs can play a key role in enabling the economic deployment of AdvSMRs. In this paper, the background of AdvSMRs is discussed from which requirements for PHM systems are derived. The particle filter technique is proposed as a prognostics framework for AdvSMR passive components and the suitability of the particle filter technique is illustrated by using it to forecast thermal creep degradation using a physics-of-failure model and based on a combination of types of measurements conceived for passive AdvSMR components.

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Submission Keywords: 
small modular reactors
particle filter
Submission Topic Areas: 
Industrial applications
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