ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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, Chun-Sheng Chien, Chia-Yu Wang, Tsu-Chi Lyie, Shih-Hsiin Chang, Der-Chyuan Wang, Suh-Chyn Jeng
Nuclear Technology | Volume 106 | Number 1 | April 1994 | Pages 125-134
Technical Note | Fission Reactor | doi.org/10.13182/NT94-A34954
Articles are hosted by Taylor and Francis Online.
We report on the development of the Kuosheng plant analyzer on an AD100 peripheral processor system for the Kuosheng nuclear power station and on benchmarking against plant data recorded during power tests. The Kuosheng plant analyzer was developed based on the Taiwan Power Company’s Chinshan plant analyzer with minor modifications. The modifications include revision of models, preparation of an input deck, and regeneration of the plant-specific tables. The simulation speed of the Kuosheng plant analyzer is six times faster than real time. Also, the self-initialization algorithm and optimization module provide more convenient simulation. Three power test transients were simulated and benchmarked against plant data. Comparison results show good agreement with plant data. The plant-specific component models were written as modular models, so that the Kuosheng plant analyzer can be easily modified for other boiling water reactor plants.