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The Use of PSA for Development and Evaluation of NPP Dukovany Symptom-oriented EOPs

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Probabilistic Safety Assessment and Management

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Abstract

Living PSA program for NPP Dukovany, a four unit 440 MWe VVER 440 type NPP in Czech Republic, has been established as a framework for all activities related to risk assessment and risk based decision-making support in NPP Dukovany. This project is maintained in Nuclear Research Institute (NRI) in Rez near Prague, Czech Republic. Continuously updated PSA model has been extensively used both for development and for evaluation of NPP Dukovany symptom-based Emergency Operating Procedures (EOPs). The paper focuses on the process, how PSA for NPP Dukovany affected development and implementation of symptom-based EOPs in NPP Dukovany. The important insights and conclusions, which were obtained from EOPs pre-evaluation by PSA model and from EOPs incorporation into living PSA model, are discussed as well.

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References

  1. Holy, J. Some Insights from HRA Related to Low Power and Shutdown Scenarios.

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Author information

Authors and Affiliations

  1. Nuclear Research Institute Rez plc (ÚJV), Husinec-Rez, Czech Republic

    Stanislav Husták & Milan Patrík

Authors
  1. Stanislav Husták
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  2. Milan Patrík
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Editor information

Editors and Affiliations

  1. TÜV Süddeutschland, Dudenstrasse 28, D-68167, Mannheim, Germany

    Cornelia Spitzer Dipl.-Math.

  2. Swiss Federal Nuclear Safety Inspectorate (HSK), CH-5232, Villigen-HSK, Switzerland

    Ulrich Schmocker PhD

  3. Paul Scherrer Institut (PSI), CH-5232, Villigen PSI, Switzerland

    Vinh N. Dang PhD

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© 2004 Springer-Verlag London

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Husták, S., Patrík, M. (2004). The Use of PSA for Development and Evaluation of NPP Dukovany Symptom-oriented EOPs. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_505

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  • DOI: https://doi.org/10.1007/978-0-85729-410-4_505

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

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