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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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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.
Chaung Lin
Nuclear Technology | Volume 92 | Number 1 | October 1990 | Pages 118-126
Technical Paper | Development of Nuclear Gas Cleaning and Filtering Techniques / Radioactive Waste Management | doi.org/10.13182/NT90-A34491
Articles are hosted by Taylor and Francis Online.
A computer program that searches for control rod patterns has been developed. In the algorithm, the problem is decomposed into two levels. In the first level, according to an assumed average axial power distribution, a control rod pattern is determined that satisfies all constraints at each burnup step. In the second level, the conditions are checked at the end of the fuel cycle. If certain conditions are not satisfied, the average axial power distribution or the weighting factors are modified and the first-level search is repeated. The first-level search is formulated as an optimization problem with constraints. The constrained problem is converted to an equivalent unconstrained problem and a method similar to a penalty function method is then applied to obtain the control rod pattern. The program is demonstrated by successfully generating control rod programming for the Chinshan and Kuosheng nuclear power plants in Taiwan.