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August 24–27, 2026
Dallas, TX|Hilton Anatole
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Front-end nuclear fuel supply cooperation: Turning allied interdependence into strategic advantage
The global nuclear revival, which is fueled by unprecedented demand for firm, affordable, dispatchable power for artificial intelligence and data center build-out, energy security imperatives, and climate commitments, has exposed a structural reality of the Western fuel cycle: No single allied nation currently possesses the full suite of front-end capabilities. From mining through conversion, enrichment, fabrication, and the emerging deconversion and metallization steps required for reactor fuels, capability is distributed across Canada, France, Japan, the United Kingdom, and the United States (collectively, the “Sapporo Five”), as well as a small group of close partners.
M. Mazumdar
Nuclear Science and Engineering | Volume 47 | Number 2 | February 1972 | Pages 187-194
Technical Paper | doi.org/10.13182/NSE72-A22395
Articles are hosted by Taylor and Francis Online.
In the thermal hydraulic design of nuclear reactor cores, it is of interest to know the probability for 0, 1, 2, . . . , D hot channels and/or cladding and fuel hot spots [i.e., channels (spots) in the core at which temperature limits are exceeded]. A previous paper considered this problem and provided a technique, referred to as the method of correlated temperatures, for obtaining the distribution of the number of hot channels. This method is partly analytical and partly Monte Carlo. In the present paper a special case, that of zero hot channels, is considered and it is shown that by application of the theory of extremes numerical results can still be obtained without the use of Monte Carlo computations proposed earlier. A hot channel factor analysis is carried out using the proposed method on a simplified hypothetical LMFBR-type core and the results are compared with those obtained (a) from the method of correlated temperatures and (b) Amendola’s method. The method based on extreme value theory compares very favorably with the more general method of correlated temperatures.