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Division Spotlight
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.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
Michael Thompson (Univ of Tennessee, Knoxville), Benjamin Jordan (Centrus Energy), Jamie Coble (Univ of Tennessee, Knoxville)
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 1267-1274
Greater situational awareness of plant conditions is necessary to move the current fleet of nuclear power facilities away from costly periodic maintenance activities. Sensed data provide the indicators of plant and equipment condition; however, these instrumentation and transmitters are themselves subject to aging and degradation over time. Online monitoring methods have long been proposed to assess the calibration status of sensors based on the data collected during normal plant operation. Auto-associative kernel regression models (AAKR) are commonly applied to predict the “expected” sensor value, and statistical hypothesis tests or thresholding algorithms are used to determine if the measured value agrees with the expectation. AAKR models work well for stationary operation of systems, but these models may not be as well suited for systems that undergo normal operational transients, as we expect to see in small modular reactors, advanced reactors, and many fuel cycle facilities. This paper presents an alternative approach to detection and diagnostics of sensor degradation and anomalies based on generalized singular value decomposition (GSVD) in computational linear algebra. The proposed method is demonstrated on experimental data collected on a two loop forced-flow water loop, but the approach is expected to be more generally applicable to a variety of nuclear facilities and to equipment and components beyond sensor suites.