Scenario development for safety assessment in deep geologic disposal of high-level radioactive waste and spent nuclear fuel: A review
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Centrale Organisatie Voor Radioactief Afval (COVRA), Nieuwdorp (Netherlands)
- Nuclear Waste Services, Harwell (United Kingdom)
- BGE Technology GmbH (BGE-TEC), Piene (Germany)
- Gesellschaft für Anlagen- und Reaktorsicherheit gGmbH (GRS), Braunschweig (Germany)
Radiation and radioactive substances result in the production of radioactive wastes which require safe management and disposal to avoid risks to human health and the environment. To ensure permanent safe disposal, the performance of a deep geological repository for radioactive waste is assessed against internationally agreed risk-based standards. Assessing postclosure safety of the future system's evolution includes screening of features, events, and processes (FEPs) relevant to the situation, their subsequent development into scenarios, and finally the development and execution of safety assessment (SA) models. Global FEP catalogs describe important natural and man-made repository system features and identify events and processes that may affect these features into the future. By combining FEPs, many of which are uncertain, different possible future system evolution scenarios are derived. Repository licensing should consider both the reference or “base” evolution as well as alternative futures that may lead to radiation release, pollution, or exposures. Scenarios are used to derive and consider both base and alternative evolutions, often through production of scenario-specific SA models and the recombination of their results into an assessment of the risk of harm. Furthermore, while the FEP-based scenario development process outlined here has evolved somewhat since its development in the 1980s, the fundamental ideas remain unchanged. A spectrum of common approaches is given here (e.g., bottom–up vs. top–down scenario development, probabilistic vs. bounding handling of uncertainty), related to how individual numerical models for possible futures are converted into a determination as to whether the system is safe (i.e., how aleatoric uncertainty and scenarios are integrated through bounding or Monte Carlo approaches).
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Nuclear Energy (NE), Office of Spent Fuel and Waste Disposition. Office of Spent Fuel and Waste Science and Technology
- Grant/Contract Number:
- NA0003525
- OSTI ID:
- 2311288
- Report Number(s):
- SAND--2024-01098J
- Journal Information:
- Risk Analysis, Journal Name: Risk Analysis Journal Issue: 8 Vol. 44; ISSN 0272-4332
- Publisher:
- WileyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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