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NCSD provides communication among nuclear criticality safety professionals through the development of standards, the evolution of training methods and materials, the presentation of technical data and procedures, and the creation of specialty publications. In these ways, the division furthers the exchange of technical information on nuclear criticality safety with the ultimate goal of promoting the safe handling of fissionable materials outside reactors.
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Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
M.A. Hoffman, Y.T. Lee
Fusion Science and Technology | Volume 21 | Number 3 | May 1992 | Pages 1557-1568
Inertial Fusion Reactor Studies | doi.org/10.13182/FST92-A29942
Articles are hosted by Taylor and Francis Online.
The HYLIFE-II concept uses the molten salt, Flibe as the primary coolant for the liquid jet flows in the reactor and uses sodium fluoroborate (NaBF4) in the secondary loop. The impact of these molten salts on the direct capital cost of the balance of plant (BOP) and on the cost of electricity (COE) has been investigated. The RUBY computer code has been written specifically for these molten salts and includes detailed analytical models for the intermediate heat exchangers (IHX's) and the steam generator system consisting of separate evaporators and superheaters. Using the RUBY code, the design of these large and costly heat exchangers and the associated tritium removal system has been optimized to yield the minimum COE. The cost models used in the code are described and the results of the optimization are given.
