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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.
Allen J. Toreja, Rizwan-uddin
Nuclear Science and Engineering | Volume 142 | Number 1 | September 2002 | Pages 85-95
Technical Note | doi.org/10.13182/NSE02-A2290
Articles are hosted by Taylor and Francis Online.
Adaptive mesh refinement capability has been developed and implemented for the time-dependent nodal integral method (NIM). The combination of adaptive mesh refinement (AMR) with the NIM maintains the coarse mesh efficiency of the nodal method by allowing high resolution only in regions where it is needed. Furthermore, exploiting certain features of the nodal method, such as using transverse-integrated variables for efficient error estimation and using node interior reconstruction to develop accurate interpolation operators, can enhance the AMR process. In this work, the NIM-AMR is formally developed, and applications of the NIM-AMR to convection-diffusion problems are presented. Results show that for a given accuracy, the NIM-AMR can be several times faster than the NIM alone.