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2024 ANS Annual Conference
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Las Vegas, NV|Mandalay Bay Resort and Casino
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Glass strategy: Hanford’s enhanced waste glass program
The mission of the Department of Energy’s Office of River Protection (ORP) is to complete the safe cleanup of waste resulting from decades of nuclear weapons development. One of the most technologically challenging responsibilities is the safe disposition of approximately 56 million gallons of radioactive waste historically stored in 177 tanks at the Hanford Site in Washington state.
ORP has a clear incentive to reduce the overall mission duration and cost. One pathway is to develop and deploy innovative technical solutions that can advance baseline flow sheets toward higher efficiency operations while reducing identified risks without compromising safety. Vitrification is the baseline process that will convert both high-level and low-level radioactive waste at Hanford into a stable glass waste form for long-term storage and disposal.
Although vitrification is a mature technology, there are key areas where technology can further reduce operational risks, advance baseline processes to maximize waste throughput, and provide the underpinning to enhance operational flexibility; all steps in reducing mission duration and cost.
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.