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Statistical Analysis of Tritium Breeding Ratio Deviations in the DEMO Due to Nuclear Data Uncertainties

Park, Jin Hun 1; Pereslavtsev, Pavel 1; Konobeev, Alexandre 1; Wegmann, Christian 1
1 Karlsruher Institut für Technologie (KIT)

Abstract:
For the stable and self-sufficient functioning of the DEMO fusion reactor, one of the most important parameters that must be demonstrated is the Tritium Breeding Ratio (TBR). The reliable assessment of the TBR with safety margins is a matter of fusion reactor viability. The uncertainty of the TBR in the neutronic simulations includes many different aspects such as the uncertainty due to the simplification of the geometry models used, the uncertainty of the reactor layout and the uncertainty introduced due to neutronic calculations. The last one can be reduced by applying high fidelity Monte Carlo simulations for TBR estimations. Nevertheless, these calculations have inherent statistical errors controlled by the number of neutron histories, straightforward for a quantity such as that of TBR underlying errors due to nuclear data uncertainties. In fact, every evaluated nuclear data file involved in the MCNP calculations can be replaced with the set of the random data files representing the particular deviation of the nuclear model parameters, each of them being correct and valid for applications. To account for the uncertainty of the nuclear model parameters introduced in the evaluated data file, a total Monte Carlo (TMC) method can be used to analyze the uncertainty of TBR owing to the nuclear data used for calculations. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000135149
Veröffentlicht am 09.07.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Neutronenphysik und Reaktortechnik (INR)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2076-3417
KITopen-ID: 1000135149
HGF-Programm 31.13.05 (POF IV, LK 01) Neutron-Resistant Structural Materials
Erschienen in Applied Sciences
Verlag MDPI
Band 11
Heft 11
Seiten Article: 5234
Vorab online veröffentlicht am 04.06.2021
Schlagwörter DEMO; TBR; MCNP; total Monte Carlo
Nachgewiesen in Scopus
Web of Science
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