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Aerospace Nuclear Science & Technology
Organized to promote the advancement of knowledge in the use of nuclear science and technologies in the aerospace application. Specialized nuclear-based technologies and applications are needed to advance the state-of-the-art in aerospace design, engineering and operations to explore planetary bodies in our solar system and beyond, plus enhance the safety of air travel, especially high speed air travel. Areas of interest will include but are not limited to the creation of nuclear-based power and propulsion systems, multifunctional materials to protect humans and electronic components from atmospheric, space, and nuclear power system radiation, human factor strategies for the safety and reliable operation of nuclear power and propulsion plants by non-specialized personnel and more.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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
First astatine-labeled compound shipped in the U.S.
The Department of Energy’s National Isotope Development Center (NIDC) on March 31 announced the successful long-distance shipment in the United States of a biologically active compound labeled with the medical radioisotope astatine-211 (At-211). Because previous shipments have included only the “bare” isotope, the NIDC has described the development as “unleashing medical innovation.”
Joseph Oncken, Linyu Lin, Vivek Agarwal
Nuclear Technology | Volume 210 | Number 12 | December 2024 | Pages 2274-2289
Review Article | doi.org/10.1080/00295450.2024.2342206
Articles are hosted by Taylor and Francis Online.
Microreactors, a specific class of nuclear reactor, feature a thermal power output of <20 MW, with intended use cases ranging from power production for remote localities and industrial facilities, to military applications, to disaster relief. Because the remote locations of these reactors make repairs difficult, and with continuous power production being essential for the intended use cases, the control system for microreactors should be able to operate or safely shut down the reactor under abnormal conditions (e.g. cases of component failure). The nuclear industry is currently pursuing various microreactor designs, one of which is the heat pipe (HP)–cooled microreactor. A potential failure mechanism in this type of microreactor is individual HP failure. The present work explores the notion that even if a single HP fails, an HP-cooled microreactor may still be controllable in its degraded state. A framework is presented for the stable control of an HP-cooled microreactor system’s thermal output power and temperature regulation under both normal and HP failure conditions, using adaptive model predictive control (A-MPC). A-MPC was implemented for its ability to maintain optimal controller performance under changing plant state and system constraints. The complex, nonlinear physical phenomena present in an HP-cooled microreactor make using a physics-based model as the A-MPC controller’s internal predictor impractical. Thus, a data-based surrogate predictor model was developed for use under both normal and HP failure conditions.
The subject under study is a 37-HP system intended to simulate the HP and core thermal behavior of an HP-cooled microreactor. This system was modeled and simulated in DireWolf, a Multiphysics Object-Oriented Simulation Environment (MOOSE)–based application designed to simulate HP-cooled microreactors. The resulting model was used to generate training data for the data-based predictor model and served as the plant simulator when coupled with the A-MPC controller. This paper presents the data-based predictor model of the 37-HP system, the A-MPC controller architecture that proved suitable under both normal and HP failure microreactor conditions, and the performance of the controller when coupled with the DireWolf simulation of the 37-HP system under both normal and HP failure conditions.