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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.
Scott A. Turner, Edward W. Larsen
Nuclear Science and Engineering | Volume 127 | Number 1 | September 1997 | Pages 36-53
Technical Paper | doi.org/10.13182/NSE127-36
Articles are hosted by Taylor and Francis Online.
The performance of the local importance function transform (LIFT) method for several three-dimensional, linearly anisotropic-scattering, one-group, and multigroup transport problems is demonstrated. In these problems, the LIFT method is shown to be more efficient than the AVATAR scheme, which is one of the most efficient variance reduction techniques currently available in a production Monte Carlo code. For most of the problems considered, the LIFT method produces higher figures of merit than AVATAR, even when the LIFT method is used as a black box.