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
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
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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Nuclear Science and Engineering
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Nuclear Technology
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Latest News
Oklo completes end-to-end demonstration of advanced fuel recycling
Oklo Inc. has announced that it has completed the first end-to-end demonstration of its advanced fuel recycling process as part of an ongoing $5 million project in collaboration with Argonne and Idaho National Laboratories. Oklo’s goal: scaling up its fuel recycling capabilities to deploy a commercial-scale recycling facility that would increase advanced reactor fuel supplies and enhance fuel cost effectiveness for its planned sodium fast reactors.
Wencheng Wu, Chaung Lin
Nuclear Technology | Volume 106 | Number 2 | May 1994 | Pages 216-224
Technical Paper | Reactor Control | doi.org/10.13182/NT94-A34977
Articles are hosted by Taylor and Francis Online.
An optimal reliable control system has been designed to control the steam generator’s water level in a pressurized water reactor. The control system uses a multiple-controller configuration so that even if part of the controller fails, the control system still functions well. The value of the controller parameters is obtained by means of an optimization algorithm, thus guaranteeing the performance of the controller under normal operation or a partially failed condition. The simulation results clearly demonstrate the performance of the controller, and this success encourages application of the method to the other crucial control systems in nuclear power plants.