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Uranium prices steady as EIA releases annual market report
The end-of-July spot price for uranium was $86.36 per pound, as reported by Cameco—roughly the same as it has been since February. Analytics firm Trading Economics reported a uranium futures price of $86.60 per pound, a figure that also has been holding steady since early April.
These updates come as the U.S. Energy Information Administration has released its 2025 Uranium Marketing Annual Report, which examines in detail multiple aspects of the U.S. uranium market. Data are derived from answers given in the Uranium Marketing Annual Survey, which collects information on contracts, deliveries (during the past year and projected for the next 10 years), purchased enrichment services, inventories, fuel assembly usage, and market requirements.
Panos J. Karditsas, Neill P. Taylor
Fusion Science and Technology | Volume 44 | Number 1 | July 2003 | Pages 227-231
Technical Paper | Fusion Energy - Divertor and Plasma-Facing Components | doi.org/10.13182/FST03-A338
Articles are hosted by Taylor and Francis Online.
As part of the European Power Plant Conceptual Study, two different divertor designs were proposed, based on previous work on HETS (High Efficiency Thermal Shield) performed at FZK and ENEA. The coolant is helium gas at pressures in the range 10-14 MPa and the inlet temperatures are in the range of 500-800°C. The geometrical complexity of the designs made prediction of heat transfer coefficients, needed for conducting thermal and structural analysis, difficult, and the calculated values from empirical correlations uncertain. This paper presents and summarises results of thermal-fluid calculations performed on both divertor concepts and gives estimates of effective values of heat transfer coefficients based on the local flow conditions and temperature distributions. The agreement of calculations with experimental values for similar conditions, inspires confidence in results from such calculations, and demonstrates that computational fluid dynamic finite element codes can accurately predict behaviour, and can be used to optimise the designs.