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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.
G. Marleau, A. Hebert
Nuclear Science and Engineering | Volume 111 | Number 3 | July 1992 | Pages 257-270
Technical Paper | doi.org/10.13182/NSE92-A23939
Articles are hosted by Taylor and Francis Online.
The J± technique is an approximation of the collision probability (CP) method in which a probability matrix is associated with each homogeneous region, and then, these regions are coupled using an interface current technique. The main advantages of the J± technique are its speed and the fact that the probability matrix associated with each region is completely decoupled from its environment. Previous work using the DP0 approximation of the J± technique has been carried out for cluster geometries. Here, the DP1 approximation is investigated, and in addition to the uniform angular flux contribution, linearly anisotropic contributions are also considered. For cluster geometries, this results in an approximation for the angular fluxes of the form ψ(rs,Ω) = a + b(Ω.N), where a and b are expansion coefficients to be determined, Ω is the neutron angular direction, and N is normal at surface s. A surf ace fractioning correction is also introduced to remove the diffraction effect that arises when using the J± method in two-dimensional geometries. The results obtained by means of the DPI approximation are now very close to those of the CP method.