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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.
P. K. Sarkar, M. A. Prasad
Nuclear Science and Engineering | Volume 70 | Number 3 | June 1979 | Pages 243-261
Technical Paper | doi.org/10.13182/NSE79-A20146
Articles are hosted by Taylor and Francis Online.
Integral equations are derived to provide the expected statistical error in any biased Monte Carlo transport calculation. The equations result from a generalization of a recent formulation by Amster and Djomehri. The present treatment is general enough to handle situations where more than one particle emerge from a collision with distribution in the statistical weights. These formulations have been used to obtain the variance and the number of collisions per history in a few Monte Carlo schemes using exponential transform. The schemes considered include procedures such as splitting, weighting in lieu of absorption, and next-event estimation. Optimization of different procedures as well as their comparative merits are discussed for a sample one-group problem.