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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.
F. C. Schoenig, K. S. Quisenberry, D. P. Stricos, and H. Bernatowicz
Nuclear Science and Engineering | Volume 26 | Number 3 | November 1966 | Pages 393-398
Technical Paper | doi.org/10.13182/NSE66-A17362
Articles are hosted by Taylor and Francis Online.
The temperature dependence of the thorium-oxide resonance integral has been measured over a wide (20 to 1550 °C) temperature range. The activation method was used; the 310 keV γ ray from the decay of 233Pa was measured with a multichannel pulse-height analyzer. Measurements were performed on ThO2 rods of 0.490− and 0.353−in. diam. (surface-to-mass ratio = 0.340 and 0.465 cm2/g, respectively). The temperature dependence of the thorium-oxide resonance integral was found not to be a linear function of either (t − t0) or (√T − √T0), where t and T and centigrade and Kelvin temperature, and t0 and T0 are 20°C, and 293°K, respectively. Thus the familiar forms of the temperature dependence of the effective resonance integral, namely RI(T)/RI(T0) = 1 + α (t − t0) = 1 + β × (√T − √To) are not appropriate representations of the data. The Doppler coefficient in a 1/E spectrum is defined by α0 = [1/RI(T)] [dRI(T)/ dT] where RI(T) is the effective resonance integral of the sample excluding the 1/v contribution, and T is the temperature of the sample. It has been found that α0 = [(0.16 ± 0.01)/T] yields a good fit to the experimental data of both sample sizes. It follows that RI(T) = RI(T0) (T/T0)(0.16 ± 0.01).