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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.
2020 ANS Virtual Winter Meeting
November 16–19, 2020
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U.S. reactor technologies to be featured at IAEA conference
A virtual side event at the 64th General Conference of the International Atomic Energy Agency will spotlight U.S. reactor technologies. The free event, US Reactor Technologies: Flexible Energy Security for Real-World Challenges, will be held this Thursday, September 24, from 9:00 a.m. to 10:30 a.m. (EDT).
The event will highlight the capabilities of small modular reactors and other innovative reactors for addressing countries’ current needs. It will also examine anticipated challenges in the future, as well as underscore the need to act now.
The event is sponsored by the U.S. Department of Energy’s Office of Nuclear Energy. Advanced registration is required.
Li-Chi Cliff Po
Nuclear Technology | Volume 206 | Number 3 | March 2020 | Pages 505-513
Technical Note | dx.doi.org/10.1080/00295450.2019.1641877
Articles are hosted by Taylor and Francis Online.
Eight years after the Fukushima accident, the last missing pieces of the jigsaw puzzle for light water reactor (LWR) safety have been put together. In the United States, the nuclear power industry has implemented diverse and flexible strategies to prevent and mitigate severe accidents. In this technical note, the author presents a conceptual design of an online accident prevention system (APS). The proposed concept takes advantage of the fact that the progression of a severe accident caused by an unplanned evolution of the fission dynamics in LWRs, which may be due to mechanical failures, human errors, or external events, progresses significantly slower than events in many other industries, such as chemical explosions or transportation accidents. The APS will make rapid diagnostics of any ongoing event by artificial intelligence and subsequently make immediate predictions using a high-speed simulation code. Should the severe accident lead to core degradation or off-site release, the operators will use all available means including diverse and flexible coping strategies (known as FLEX) to prevent it from happening. Full development and implementation of this APS will greatly enhance nuclear safety in the fight against global warming.