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Evaluation of risk impact of changes to surveillance requirements addressing model and parameter uncertainties

Author

Listed:
  • Martorell, S.
  • Villamizar, M.
  • Martón, I.
  • Villanueva, J.F.
  • Carlos, S.
  • Sánchez, A.I.

Abstract

This paper presents a three steps based approach for the evaluation of risk impact of changes to Surveillance Requirements based on the use of the Probabilistic Risk Assessment and addressing identification, treatment and analysis of model and parameter uncertainties in an integrated manner. The paper includes also an example of application that focuses on the evaluation of the risk impact of a Surveillance Frequency change for the Reactor Protection System of a Nuclear Power Plant using a level 1 Probabilistic Risk Assessment. Surveillance Requirements are part of Technical Specifications that are included into the Licensing Basis for operation of Nuclear Power Plants. Surveillance Requirements aim at limiting risk of undetected downtimes of safety related equipment by imposing equipment operability checks, which consist of testing of equipment operational parameters with established Surveillance Frequency and Test Strategy.

Suggested Citation

  • Martorell, S. & Villamizar, M. & Martón, I. & Villanueva, J.F. & Carlos, S. & Sánchez, A.I., 2014. "Evaluation of risk impact of changes to surveillance requirements addressing model and parameter uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 153-165.
    • Handle: RePEc:eee:reensy:v:126:y:2014:i:c:p:153-165
    DOI: 10.1016/j.ress.2014.02.003
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    References listed on IDEAS

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    1. S Martorell & A Sánchez & J F Villanueva & S Carlos & V Serradell, 2008. "A multi-objective genetic algorithm for RAMS+C optimization with uncertain decision variables," Journal of Risk and Reliability, , vol. 222(2), pages 153-160, June.
    2. Martorell, S. & Sanchez, A. & Carlos, S., 2007. "A tolerance interval based approach to address uncertainty for RAMS+C optimization," Reliability Engineering and System Safety, Elsevier, vol. 92(4), pages 408-422.
    3. Storlie, Curtis B. & Swiler, Laura P. & Helton, Jon C. & Sallaberry, Cedric J., 2009. "Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1735-1763.
    4. Sanchez, Ana & Carlos, Sofia & Martorell, Sebastian & Villanueva, Jose F., 2009. "Addressing imperfect maintenance modelling uncertainty in unavailability and cost based optimization," Reliability Engineering and System Safety, Elsevier, vol. 94(1), pages 22-32.
    5. Storlie, Curtis B. & Helton, Jon C., 2008. "Multiple predictor smoothing methods for sensitivity analysis: Example results," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 55-77.
    6. Torres-Echeverría, A.C. & Martorell, S. & Thompson, H.A., 2009. "Modelling and optimization of proof testing policies for safety instrumented systems," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 838-854.
    7. Tian, Wei, 2013. "A review of sensitivity analysis methods in building energy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 411-419.
    8. Storlie, Curtis B. & Helton, Jon C., 2008. "Multiple predictor smoothing methods for sensitivity analysis: Description of techniques," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 28-54.
    9. Aven, T. & Nøkland, T.E., 2010. "On the use of uncertainty importance measures in reliability and risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 127-133.
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    Citations

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    Cited by:

    1. Martorell, P. & Martón, I. & Sánchez, A.I. & Martorell, S. & Sanchez-Saez, F. & Saiz, M., 2018. "Evaluation of risk impact of completion time changes combining PSA and DSA model insight and human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 97-107.
    2. Martorell, S. & Martón, I. & Villamizar, M. & Sánchez, A.I. & Carlos, S., 2014. "Evaluation of risk impact of changes to Completion Times addressing model and parameter uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 190-201.
    3. Borysiewicz, Mieczysław & Kowal, Karol & Potempski, Sławomir, 2015. "An application of the value tree analysis methodology within the integrated risk informed decision making for the nuclear facilities," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 113-119.
    4. Martón, I. & Sánchez, A.I. & Martorell, S., 2015. "Ageing PSA incorporating effectiveness of maintenance and testing," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 131-140.
    5. Martorell, S. & Martón, I. & Sánchez, A. & Carlos, S., 2020. "Harmonisation of surveillance requirements and maintenance in a context of ageing and obsolescence based on reliability, availability and risk information," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    6. Hellmich, Mario & Berg, Heinz-Peter, 2015. "Markov analysis of redundant standby safety systems under periodic surveillance testing," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 48-58.

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