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Reliability Assessment of Passive Safety Systems for Nuclear Energy Applications: State-of-the-Art and Open Issues

Author

Listed:
  • Francesco Di Maio

    (Energy Department, Politecnico di Milano, 20156 Milan, Italy)

  • Nicola Pedroni

    (Dipartimento di Energia, Politecnico di Torino, 10121 Turin, Italy)

  • Barnabás Tóth

    (NUBIKI Nuclear Safety Research Institute Ltd., 1121 Budapest, Hungary)

  • Luciano Burgazzi

    (ENEA Agenzia Nazionale per le Nuove Tecnologie, L’energia e lo Sviluppo Economico Sostenibile, 40121 Bologna, Italy)

  • Enrico Zio

    (Energy Department, Politecnico di Milano, 20156 Milan, Italy
    Centre for Research on Risk and Crises (CRC), MINES ParisTech, PSL Research University, 75006 Paris, France)

Abstract

Passive systems are fundamental for the safe development of Nuclear Power Plant (NPP) technology. The accurate assessment of their reliability is crucial for their use in the nuclear industry. In this paper, we present a review of the approaches and procedures for the reliability assessment of passive systems. We complete the work by discussing the pending open issues, in particular with respect to the need of novel sensitivity analysis methods, the role of empirical modelling and the integration of passive safety systems assessment in the (static/dynamic) Probabilistic Safety Assessment (PSA) framework.

Suggested Citation

  • Francesco Di Maio & Nicola Pedroni & Barnabás Tóth & Luciano Burgazzi & Enrico Zio, 2021. "Reliability Assessment of Passive Safety Systems for Nuclear Energy Applications: State-of-the-Art and Open Issues," Energies, MDPI, vol. 14(15), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4688-:d:607118
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    References listed on IDEAS

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    1. Gyunyoung Heo, 2022. "Advancements in Probabilistic Safety Assessment of Nuclear Energy for Sustainability," Energies, MDPI, vol. 15(2), pages 1-2, January.
    2. Antonello, Federico & Buongiorno, Jacopo & Zio, Enrico, 2022. "A methodology to perform dynamic risk assessment using system theory and modeling and simulation: Application to nuclear batteries," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

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