July 2026

Conference Paper

Nuclear Data Impact on Key Metrics for a Representative Molten Chloride Fast Reactor Model

By:
Procop, Germina ; Bostelmann, Friederike ; Elzohery, Rabab R
Book Title:
Proceedings of the International Conference on the Physics of Reactors (PHYSOR 2026), Turin, Italy, April 19-23, 2026
Publication Date:
July 24, 2026
Publisher Location:
American Nuclear Society, Illinois, United States of America
Conference Name:
PHYSOR 2026 International Conference on the Physics of Reactors
Conference Location:
Turin, Italy
Conference Sponsor:
American Nuclear Society
View DOI Listing:
https://doi.org/10.5281/zenodo.20803992

Abstract

Nuclear data are an essential component of the foundation on which all modeling and simulation methods and tools are relying upon, from the front end to the back end of the nuclear fuel cycle. In this study, the impact of uncertainties in nuclear data is investigated for a representative molten chloride fast reactor, for several important metrics, including eigenvalue, reactivity differences, and nuclide inventories in fuel at 5-yr irradiation. Uncertainty of keff for a full core model was found to be similar between the fresh fuel and the irradiated fuel states (1.7-1.8%), with its primary driver being the uncertainty in the 235U (n,γ) cross section. The results obtained for the reactivity differences show large uncertainties, of over 100%, in elastic scattering sensitivities of several nuclides, which led to large uncertainties of temperature reactivity differences for cladding and reflector. These results provide evidence that the currently applied methods may not be sufficiently adequate for ensuring the reliable determination of such metrics.