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Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
Standards Program
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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Framatome, KHNP to investigate producing Lu-177 in South Korea
Framatome and Korea Hydro & Nuclear Power (KHNP) announced the signing of a memorandum of understanding to explore the possibility of producing the medical isotope Lutetium-177 at KHNP’s Wolsong nuclear power plant in South Korea. The companies also will investigate the feasibility of using the plant to support Korean production of medical radioisotopes in the future.
U. B. Phathanapirom, E. A. Schneider
Nuclear Science and Engineering | Volume 182 | Number 4 | April 2016 | Pages 502-522
Technical Paper | doi.org/10.13182/NSE15-25
Articles are hosted by Taylor and Francis Online.
This paper introduces a new methodology for explicitly incorporating uncertainties in key parameters into decision making regarding the transition between various nuclear fuel cycles. These key uncertainties—in demand growth rates, technology availability, and technology costs, among others—are unlikely to be resolved for several decades and invalidate the concept of planning for a unique optimal transition strategy. Past time-dependent analyses of the nuclear fuel cycle have confronted uncertainties by using a scenario-based approach where key variables are parametrically varied, which gives rise to inflexible courses of action associated with optima for each scenario. Instead, this work selects hedging strategies through a decision making under uncertainty framework. These strategies are found by applying a choice criterion to select courses of action that mitigate regrets. These regrets are calculated by evaluating the performance of all possible transition strategies for every feasible outcome of the uncertain parameter(s). The methodology is applied to a case study involving transition from the current once-through light water reactor fuel cycle to one relying on continuous recycle in fast reactors, and the effect of choice criterion is explored. Hedging strategies are found that preserve significant flexibility to allow alteration of the fuel cycle strategy once these uncertainties are resolved. This work may provide guidance for agent-based, behavioral modeling in fuel cycle simulators as well as decision making in real-world applications.