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Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Can hydrogen be the transportation fuel in an otherwise nuclear economy?
Let’s face it: The global economy should be powered primarily by nuclear power. And it probably will by the end of this century, with a still-significant assist from renewables and hydro. Once nuclear systems are dominant, the costs come down to where gas is now; and when carbon emissions are reduced to a small portion of their present state, it will become obvious that most other sources are only good in niche settings. I mean, why use small modular reactors to load-follow when they can just produce that power instead of buffering it?
E. A. Schneider, U. B. Phathanapirom, R. Eggert, E. Segal
Nuclear Technology | Volume 183 | Number 2 | August 2013 | Pages 160-177
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT13-A18109
Articles are hosted by Taylor and Francis Online.
A market-clearing model of the uranium and enrichment industries through 2030 is presented. Built around thorough databases of primary and secondary uranium supplies as well as enrichment facilities, the model derives market-clearing conditions by locating the intersections between the annual supply-and-demand curves for uranium and enrichment services. Considering the effects of secondary supplies including highly enriched and natural uranium inventories along with depleted uranium enrichment, the model solves embedded optimization problems to account for trade-offs between uranium and enrichment requirements. The model can inform policy decisions tied to uranium inventory management and sale and market effects of purchase and disbursement from a uranium bank. This paper documents the methodologies behind the model, describes a stochastic implementation to propagate uncertainties, and contrasts its forecasts to static projections. Further, it is applied to an illustrative reference case featuring moderate (2.6%/yr) demand growth for reactor fuel. The model predicts near-level uranium prices with declining separative work unit prices and enrichment tails assays through the mid-2020s. This behavior is largely driven by the coming online of several new centrifuge enrichment plants and capacity expansions at others, which encourages more aggressive tails assays while suppressing uranium requirements.