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Division Spotlight
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.
Meeting Spotlight
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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Latest News
G7 pledges support for nuclear at Italy meeting
The Group of Seven (G7) recommitted its support for nuclear energy in the countries that opt to use it at a Ministerial Meeting on Climate in Italy last month.
In a statement following the April meeting, the group committed to support multilateral efforts to strengthen the resilience of nuclear supply chains, referencing the goal set by 25 countries during last year’s COP28 climate conference in Dubai to triple global nuclear generating capacity by 2050.
Milos I. Atz, Massimiliano Fratoni
Nuclear Technology | Volume 209 | Number 5 | May 2023 | Pages 677-695
Technical Paper | doi.org/10.1080/00295450.2022.2146475
Articles are hosted by Taylor and Francis Online.
Future utilization of nuclear power may involve fuel cycles that incorporate new reactors and new fuel utilization schemes. In comparing fuel cycles in terms of their waste characteristics, many previous studies have focused on properties intrinsic to the wastes themselves: mass, radioactivity, and/or radiotoxicity. These properties do not directly inform analyses that evaluate waste management strategies, impacts, or risks. For these, information about waste packages and waste loading is critical. This paper reports on research performed to bridge the divide between nuclear fuel cycle and waste management analyses while accommodating the diversity of reactors, processes, and waste forms that could be utilized by advanced fuel cycles. An object-oriented Python code, Nuclear Waste Analysis in Python, was written to connect fuel cycle data with backend process information, thereby generating waste form characteristics and package inventories. The backend process models are informed by literature review and engineering judgment. The package is applied to the fuel cycles considered in the Fuel Cycle Evaluation and Screening (FCES) study and is benchmarked against the FCES study waste management evaluation metric data for mass and radioactivity. Hypothetical waste package inventories are reported for each fuel cycle as functions of spent fuel and high-level waste loading.