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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.
S. I. Bhuiyan, R. W. Roussin, J. L. Lucius, J. H. Marable, D. E. Bartine
Nuclear Science and Engineering | Volume 87 | Number 1 | May 1984 | Pages 96-102
Technical Note | doi.org/10.13182/NSE84-A17450
Articles are hosted by Taylor and Francis Online.
Attempts to devise techniques for rapidly calculating radiation transport in relatively simple shields has led to the development of two calculational models that are based on the use of cross-section sensitivity coefficients and are possible improvements over the traditional linear model. The two models, one an exponential model and the other a power model, were tested, along with the linear model, by applying them to 1- and 2-m-thick concrete slab problems in which the water content, reinforcing steel content, and composition of the concrete were varied. Comparing the results obtained with the three models with those obtained from an exact one-dimensional discrete ordinates transport calculation indicated that the exponential model, named the “BEST model” (for basic exponential shielding trend), is a particularly promising predictive tool for shielding problems dominated by exponential attenuation. When applied to a deep penetration sodium problem, the BEST model also yielded better results than did calculations based on second-order sensitivity theory.