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Diversification and the common ground
Craig Piercycpiercy@ans.org
Who would have thought, just a few years ago, that we would see so many long-standing barriers to new nuclear development falling like dominoes? Public opinion, policy, regulatory reform, finance and investment, design maturity, nuclear fuel enrichment, and fuel fabrication capacity have all advanced with remarkable speed in the United States.
Conventional wisdom holds that the most effective way to scale up the nuclear supply chain is to do so strategically, matching investments to the needs of reactor developers.
A. Rispo, X. Doligez, S. Ravaux, C. Trakas
Nuclear Science and Engineering | Volume 199 | Number 1 | April 2025 | Pages S31-S41
Review Article | doi.org/10.1080/00295639.2024.2340184
Articles are hosted by Taylor and Francis Online.
Most of the neutronic core calculation schemes used by industrialists for nuclear reactor studies are based on a two-step deterministic scheme: A two-dimensional transport calculation at the assembly level produces homogenized and condensed nuclear data used by a full three-dimensional core solver under the diffusion approximation. The validity domain of such schemes is driven by the hypotheses of the diffusion approximation, implying wide meshes (10 to 20 cm), and is hence limited to studies that do not require a thinner description of neutron behavior. Consequently, local phenomena and heterogeneous interfaces are not yet fully validated with industrial two-level calculation schemes. For instance, the axial core-reflector interface, which is characterized by extra thermalization of neutrons leading to a local (≈2-cm height) increase of the neutron flux at the axial edges of fuel pins, is specifically challenging for deterministic methods. To cope with this issue, specific safety studies are performed with reference Monte Carlo simulations. This paper shows that enhancing the equivalence method enables flux discrepancies to be reduced from 12% to 6% for mixed oxide fuels and from 9.3% to <1% for uranium oxide fuel (impacting the power discrepancy from 5% to 3% and from 0.3% to almost 0.0%, respectively) between Monte Carlo and deterministic simulations (SCIENCE V2). The improved equivalence method uses dedicated discontinuity factors and constants, according to an optimized mesh composed by a mesh for each medium and a refined mesh in the fuel region.