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Division Spotlight
Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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
Article considers incorporation of AI into nuclear power plant operations
The potential application of artificial intelligence to the operation of nuclear power plants is explored in an article published in late December in the Washington Examiner. The article, written by energy and environment reporter Callie Patteson, presents the views of a number of experts, including Yavuz Arik, a strategic energy consultant.
Shih-Jen Wang, Ming-Song Lin
Nuclear Technology | Volume 95 | Number 2 | August 1991 | Pages 156-161
Technical Paper | Fission Reactor | doi.org/10.13182/NT91-A34553
Articles are hosted by Taylor and Francis Online.
The characteristics of xenon dynamics are simulated, and related parameters are identified in the Taiwan Research Reactor. A xenon transient for a 20% stepwise decrease from 85.6% rated power is performed and simulated with design data. The trends in the moderator levels are similar in the test and in the simulation. However, there are discrepancies in the magnitude and shape. Because no reactivity feedback occurs for 2 h after the power change, except for xenon poisoning, a parameter optimization method is applied to identify the migration area and the initial neutron flux by minimizing the integrated square error of the moderator level from 2 to 20 h after the power change. The optimized moderator level fit the test result very well, and the identified parameters are reasonably close to the experimental data.
