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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
Meeting Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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
NRC cuts fees by 50 percent for advanced reactor applicants
The Nuclear Regulatory Commission has announced it has amended regulations for the licensing, inspection, special projects, and annual fees it will charge applicants and licensees for fiscal year 2025.
Chaung Lin, Jieh-Rern Chang, Suh-Chyn Jenc
Nuclear Science and Engineering | Volume 102 | Number 3 | July 1989 | Pages 283-294
Technical Paper | doi.org/10.13182/NSE89-A27478
Articles are hosted by Taylor and Francis Online.
A multivariable theory is applied to the design of the recirculation and feed water control systems of a boiling water reactor. The nuclear steam supply system simulation model is represented by a set of 14 first-order nonlinear ordinary differential equations. Linearization about a steady-state operating point leads to a linear model. To reduce the computational effort, a sixth-order model is obtained by an optimal order reduction method. A robust controller is designed so that the regulation and tracking capability holds in the presence of certain perturbations and disturbances to the plant. The controller parameters are obtained by the parameter optimization method. The results of simulation show that the control system performs well and has robust stability.