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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.
William Kuan, Mohamed A. Abdou, R. Scott Willms
Fusion Science and Technology | Volume 28 | Number 3 | October 1995 | Pages 664-671
Tritium Processing | Proceedings of the Fifth Topical Meeting on Tritium Technology in Fission, Fusion, and Isotopic Applications Belgirate, Italy May 28-June 3, 1995 | doi.org/10.13182/FST95-A30480
Articles are hosted by Taylor and Francis Online.
Dynamically simulating the fuel cycle in a fusion reactor is crucial to developing a better understanding of the safe and reliable operation of this complex system. In this work, we propose a tritium processing system for ITER'S plasma exhaust. The dynamic simulation of this proposed system is then performed with the TRUFFLES (TRitiUm Fusion Fuel cycLE dynamic Simulation) model. The fuel management, storage, and fueling operations are developed and coupled with previous cryopump and fuel cleanup unit subsystems to fully realize the complete torus exhaust flow cycle. Results show that tritium inventories will vary widely depending upon reactor operation, individual subsystem and unit operation designs. A diverse collection of batch-controlled subsystems with changes in their processing parameters are simulated in this work. In particular, the effects from the fuel management subsystem's fuel reserve and tank switching times are quantified using sensitivity studies.