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Uncertainty and sensitivity analysis of radionuclide migration through the engineered barriers of deep geological repository: Case of RBMK-1500 SNF

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  • Narkuniene, Asta
  • Poskas, Povilas
  • Kilda, Raimondas
  • Bartkus, Gytis

Abstract

Like other nuclear countries, Lithuania is facing the problem of spent nuclear fuel (SNF) disposal from RBMK11“RBMK†is a Russian acronym for “Channelized Large Power Reactor†.-1500 type reactors at the Ignalina NPP (~22,000 of the SNF assemblies). The application of probabilistic and deterministic methods for uncertainty assessment and important parameter ranking is of high importance in order to build confidence in the assessment results on radionuclide migration and indicates directions for further uncertainty reduction.

Suggested Citation

  • Narkuniene, Asta & Poskas, Povilas & Kilda, Raimondas & Bartkus, Gytis, 2015. "Uncertainty and sensitivity analysis of radionuclide migration through the engineered barriers of deep geological repository: Case of RBMK-1500 SNF," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 8-16.
    • Handle: RePEc:eee:reensy:v:136:y:2015:i:c:p:8-16
    DOI: 10.1016/j.ress.2014.11.011
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    References listed on IDEAS

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    1. Helton, Jon C. & Hansen, Clifford W. & Sallaberry, Cédric J., 2012. "Uncertainty and sensitivity analysis in performance assessment for the proposed high-level radioactive waste repository at Yucca Mountain, Nevada," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 44-63.
    2. Helton, J.C. & Johnson, J.D. & Sallaberry, C.J. & Storlie, C.B., 2006. "Survey of sampling-based methods for uncertainty and sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1175-1209.
    3. Saltelli, Andrea & Ratto, Marco & Tarantola, Stefano & Campolongo, Francesca, 2006. "Sensitivity analysis practices: Strategies for model-based inference," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1109-1125.
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