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
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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!
Latest Magazine Issues
Sep 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
October 2025
Nuclear Technology
September 2025
Fusion Science and Technology
Latest News
NNSA awards BWXT $1.5B defense fuels contract
The Department of Energy’s National Nuclear Security Administration has awarded BWX Technologies a contract valued at $1.5 billion to build a Domestic Uranium Enrichment Centrifuge Experiment (DUECE) pilot plant in Tennessee in support of the administration’s efforts to build out a domestic supply of unobligated enriched uranium for defense-related nuclear fuel.
Shih-Jen Wang, Shih-Hsiin Chang, Chun-Sheng Chien, Ling-Yao Chou
Nuclear Technology | Volume 109 | Number 1 | January 1995 | Pages 153-160
Technical Paper | Reactor Control | doi.org/10.13182/NT95-A35075
Articles are hosted by Taylor and Francis Online.
The Kuosheng plant analyzer is a fast and accurate simulation program developed on the AD-100 peripheral processor systems. With the feature of the optimization module, the capability of the Kuosheng plant analyzer is highly improved. It is successfully applied to the feedwater control system (FWCS) design via the optimal approach eliminating the tedious trial-and-error tuning process. First, the level setpoint change transient performed during the startup tests was simulated to verify its accuracy. After verification, it was then applied to design the FWCS with the aid of the optimization module. The objective function is selected as the proper function of the design specifications. The optimization module adjusts the controller settings automatically by minimizing the objective function. The design process starts from the speed loop and continues to the level loop in a systematic way. All the design specifications are satisfied with the optimized controller settings and the control system performance is improved.