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Risk monitor implementation for the LVR-15 research reactor

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  • Ferretto, D.
  • Mazzini, G.
  • Ambrosini, W.
  • Aldorf, R.
  • Hrehor, M.

Abstract

This paper presents the implementation of a Phoenix Risk Monitor (RM) for the Light Water Reactor-15 (LVR-15), a nuclear research reactor installed in the Czech Republic. The aim of the work was to introduce dynamic capabilities in the previously developed Probabilistic Safety Assessment (PSA) model. The paper includes a description of the main characteristics of the PSA of LVR-15 and a particular focus is assigned to the developed risk monitor interface, obtained starting from scratch, and to the methodology adopted in its implementation. The interface is conceived to visualize in a meaningful way the safety level of the reactor, suggesting possible interventions to the operator to improve it whenever needed. The risk monitor has been tested with reference to specific conditions of interest, considering, in particular, the effect of external events on the safety status of the reactor, also including the specific weather conditions occurring on a seasonal basis on the reactor site.

Suggested Citation

  • Ferretto, D. & Mazzini, G. & Ambrosini, W. & Aldorf, R. & Hrehor, M., 2021. "Risk monitor implementation for the LVR-15 research reactor," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:reensy:v:208:y:2021:i:c:s0951832020308899
    DOI: 10.1016/j.ress.2020.107403
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    References listed on IDEAS

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    1. Hiromitsu Kumamoto, 2007. "Satisfying Safety Goals by Probabilistic Risk Assessment," Springer Series in Reliability Engineering, Springer, number 978-1-84628-682-7, March.
    2. KanÄ ev, DuÅ¡ko & ÄŒepin, Marko & Gjorgiev, Blaže, 2014. "Development and application of a living probabilistic safety assessment tool: Multi-objective multi-dimensional optimization of surveillance requirements in NPPs considering their ageing," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 135-147.
    3. Xing, Jinduo & Zeng, Zhiguo & Zio, Enrico, 2019. "A framework for dynamic risk assessment with condition monitoring data and inspection data," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
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