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Conference Spotlight
2025 ANS Winter Conference & Expo
November 8–12, 2025
Washington, DC|Washington Hilton
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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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Japan gets new U for enrichment as global power and fuel plans grow
President Trump is in Japan today, with a visit with new Prime Minister Sanae Takaichi on the agenda. Takaichi, who took office just last week as Japan’s first female prime minister, has already spoken in favor of nuclear energy and of accelerating the restart of Japan’s long-shuttered power reactors, as Reuters and others have reported. Much of the uranium to power those reactors will be enriched at Japan’s lone enrichment facility—part of Japan Nuclear Fuel Ltd.’s Rokkasho fuel complex—which accepted its first delivery of fresh uranium hexafluoride (UF₆) in 11 years earlier this month.
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.