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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
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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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?
Andreas Dinklage, Rainer Fischer, Robert Wolf
Fusion Science and Technology | Volume 62 | Number 3 | November 2012 | Pages 419-427
Selected Paper from Seventh Fusion Data Validation Workshop 2012 (Part 2) | doi.org/10.13182/FST12-A15341
Articles are hosted by Taylor and Francis Online.
A new concept for the design of diagnostics for fusion devices is introduced. The concept is based on the combination of sets of different diagnostics to an integrated meta-diagnostic. The approach applies methods from Bayesian experimental design and allows for quantitative assessments of differing meta-diagnostics. A specific example is the combination of interferometry and Thomson scattering data to determine the capabilities of the proposed method. The approach also determines the minimum sets of diagnostics required to determine physics quantities with a given accuracy. This is relevant for the control of reactor-relevant scenarios such as with DEMO.