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.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
U.K. releases new plans to speed nuclear deployment
In an effort to revamp its nuclear sector and enable the buildout of new projects, the U.K. has unveiled a sweeping set of changes to project deployment. These changes, which are set to come into effect by the end of next year, will restructure the country’s regulatory and environmental approval framework and directly support new growth through various workforce efforts.
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.