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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
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
Fabrication milestone for INL’s MARVEL microreactor
A team from Idaho National Laboratory and the Department of Energy’s Office of Nuclear Energy (DOE-NE) recently visited Carolina Fabricators Inc. (CFI), in West Columbia, S.C., to launch the fabrication process for the primary coolant system of the MARVEL microreactor. Battelle Energy Alliance (BEA), which manages INL, awarded the CFI contract in January.
I. A. Papazoglou, N. Z. Cho, R. A. Bari
Nuclear Technology | Volume 74 | Number 3 | September 1986 | Pages 272-286
Technical Paper | Fission Reactor | doi.org/10.13182/NT86-A33830
Articles are hosted by Taylor and Francis Online.
A methodology is described for allocating reliability to various nuclear reactor systems, subsystems, components, operations, and structures consistent with a set of global safety criteria that are not rigid. The problem is formulated as a multiattribute decision analysis paradigm; the multiobjective optimization, which is performed on a probabilistic risk assessment model and reliability cost functions, serves as the guiding principle for reliability and risk allocation. The concept of “noninferiority” is used in the multiobjective optimization problem. Finding the noninferior solution set is the main theme of the current approach. The assessment of the decision-maker’s preferences could then be performed more easily on the noninferior solution set.