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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.
Wencheng Wu, Chaung Lin
Nuclear Technology | Volume 106 | Number 2 | May 1994 | Pages 216-224
Technical Paper | Reactor Control | doi.org/10.13182/NT94-A34977
Articles are hosted by Taylor and Francis Online.
An optimal reliable control system has been designed to control the steam generator’s water level in a pressurized water reactor. The control system uses a multiple-controller configuration so that even if part of the controller fails, the control system still functions well. The value of the controller parameters is obtained by means of an optimization algorithm, thus guaranteeing the performance of the controller under normal operation or a partially failed condition. The simulation results clearly demonstrate the performance of the controller, and this success encourages application of the method to the other crucial control systems in nuclear power plants.
