Development of good practice guidance for quantification of thermal-hydraulic code model input uncertainty
| Autor: | Takeshi Takeda, Jinzhao Zhang, Francesc Reventos, Alessandro Petruzzi, Deog-Yeon Oh, Rafael Mendizábal, T. Skorek, Jean Baccou, Guillaume Damblin, Mathieu Couplet, Philippe Fillion, Bertrand Iooss |
|---|---|
| Přispěvatelé: | PSN-RES/SEMIA, Institut de Radioprotection et de Sûreté Nucléaire (IRSN), CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Universitat Politècnica de Catalunya [Barcelona] (UPC), Service de Maîtrise des Incidents et Accidents (IRSN/PSN-RES/SEMIA) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Nuclear and High Energy Physics
Operations research Computer science 020209 energy 02 engineering and technology 7. Clean energy 01 natural sciences Outcome (game theory) 010305 fluids & plasmas law.invention Thermal hydraulics [SPI]Engineering Sciences [physics] Development (topology) law 0103 physical sciences Nuclear power plant 0202 electrical engineering electronic engineering information engineering Code (cryptography) General Materials Science Uncertainty quantification Safety Risk Reliability and Quality Waste Management and Disposal Mechanical Engineering Nuclear Energy and Engineering Work (electrical) Key (cryptography) |
| Zdroj: | Nuclear Engineering and Design Nuclear Engineering and Design, Elsevier, 2019, 354, ⟨10.1016/j.nucengdes.2019.110173⟩ Nuclear Engineering and Design, 2019, 354, ⟨10.1016/j.nucengdes.2019.110173⟩ |
| ISSN: | 0029-5493 1872-759X |
| Popis: | International audience; Taking into account uncertainties is a key issue in nuclear power plant safety analysis using best estimate plus uncertainty methodologies. It involves two main types of treatment depending on the variables of interest: input parameters or system response quantity. The OECD/NEA PREMIUM project devoted to the first type of variables has shown that inverse methods for input uncertainty quantification can exhibit strong user-effect. One of the main reasons was the lack of a clear guidance to perform a reliable analysis. This work is precisely devoted to the development of a first good practice guidance document for quantification of thermal-hydraulic code model input uncertainty. The developments have been done in the framework of the OECD/NEA SAPIUM project (January 2017-September 2019). This paper provides a summary of the main project outcome. Recommendations and open issues for future developments are also given. |
| Databáze: | OpenAIRE |
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