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Division Spotlight
Thermal Hydraulics
The division provides a forum for focused technical dialogue on thermal hydraulic technology in the nuclear industry. Specifically, this will include heat transfer and fluid mechanics involved in the utilization of nuclear energy. It is intended to attract the highest quality of theoretical and experimental work to ANS, including research on basic phenomena and application to nuclear system design.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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April 2024
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Fusion Science and Technology
February 2024
Latest News
Can hydrogen be the transportation fuel in an otherwise nuclear economy?
Let’s face it: The global economy should be powered primarily by nuclear power. And it probably will by the end of this century, with a still-significant assist from renewables and hydro. Once nuclear systems are dominant, the costs come down to where gas is now; and when carbon emissions are reduced to a small portion of their present state, it will become obvious that most other sources are only good in niche settings. I mean, why use small modular reactors to load-follow when they can just produce that power instead of buffering it?
S. González, J. Vega, A. Murari, JET-EFDA Contributors
Fusion Science and Technology | Volume 58 | Number 3 | November 2010 | Pages 763-770
Selected Paper from Sixth Fusion Data Validation Workshop 2010 (Part 2) | doi.org/10.13182/FST10-A10925
Articles are hosted by Taylor and Francis Online.
Visible light and infrared cameras allow the acquisition of plasma movies during discharges. A great amount of data from video-movies is stored for every discharge, and therefore, automatic methods for image processing are required. In this paper we describe an automatic off-line technique for plasma movie analysis. Support vector regression, a constructive learning procedure based on the statistical learning theory, is used to retrieve information from movie frames. The developed technique is applied to locate generic events during movies, to recognize regions of interest (ROI) in single frames, and to study the evolution of these ROI during plasma discharges. The technique has been tested using JET real video-movies of both infrared and visible light cameras.