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The busyness of the nuclear fuel supply chain
Ken Petersenpresident@ans.org
With all that is happening in the industry these days, the nuclear fuel supply chain is still a hot topic. The Russian assault in Ukraine continues to upend the “where” and “how” of attaining nuclear fuel—and it has also motivated U.S. legislators to act.
Two years into the Russian war with Ukraine, things are different. The Inflation Reduction Act was passed in 2022, authorizing $700 million in funding to support production of high-assay low-enriched uranium in the United States. Meanwhile, the Department of Energy this January issued a $500 million request for proposals to stimulate new HALEU production. The Emergency National Security Supplemental Appropriations Act of 2024 includes $2.7 billion in funding for new uranium enrichment production. This funding was diverted from the Civil Nuclear Credits program and will only be released if there is a ban on importing Russian uranium into the United States—which could happen by the time this column is published, as legislation that bans Russian uranium has passed the House as of this writing and is headed for the Senate. Also being considered is legislation that would sanction Russian uranium. Alternatively, the Biden-Harris administration may choose to ban Russian uranium without legislation in order to obtain access to the $2.7 billion in funding.
S. L. Sharma, J. R. Buchanan, M. A. Lopez de Bertodano
Nuclear Science and Engineering | Volume 194 | Number 8 | August-September 2020 | Pages 665-675
Technical Paper | doi.org/10.1080/00295639.2020.1744406
Articles are hosted by Taylor and Francis Online.
Thermally induced density wave instability (DWI) (Type-II) is an important phenomenon for two-phase flow industrial systems. Developing numerical tools and methods for the prediction of the DWI boundary is of importance in the design and safety of nuclear reactors. With the advent of computational fluid dynamics (CFD) in nuclear safety analysis, it is important to first verify the CFD results against existing theory and validate them with experimental data. In this work, a CFD two-fluid model (TFM) for DWI was implemented and verified against the theory of Ishii (1971). Closure relations were selected to approach the homogeneous equilibrium flow model. A steady-state verification of the model was carried out first. Then, dynamic verification was performed. Predictions of the stability boundary and the frequency of oscillations are in a good agreement with the theory. This study further verifies the dynamic capability of TFM CFD.