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Division Spotlight
Nuclear Installations Safety
Devoted specifically to the safety of nuclear installations and the health and safety of the public, this division seeks a better understanding of the role of safety in the design, construction and operation of nuclear installation facilities. The division also promotes engineering and scientific technology advancement associated with the safety of such facilities.
Meeting Spotlight
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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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November 2024
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Industry experts discuss nuclear’s role in powering data centers, meeting climate goals
As a primer to the American Nuclear Society Winter Conference and Expo, ANS Executive Director/Chief Executive Craig Piercy hosted a panel discussion titled “The State of Nuclear,” sponsored by the ANS Trustees of Nuclear. The October 29 discussion, the first in a two-part series, featured five thought leaders from the nuclear community as they reviewed the current state of nuclear power. The second panel took place during the ANS Winter Conference in Orlando, Fla., on November 18.
Tracy E. Stover, Paul J. Turinsky
Nuclear Technology | Volume 180 | Number 2 | November 2012 | Pages 216-230
Technical Paper | Radiation Measurements and General Instrumentation | doi.org/10.13182/NT12-A14635
Articles are hosted by Taylor and Francis Online.
The safe and economical design of new, innovative nuclear reactors will require uncertainty reduction in basic nuclear data that are input to simulations used during reactor design. These data uncertainties propagate to uncertainties in design responses, which in turn require the reactor designer to incorporate additional safety margins into the design, often increasing the cost of the reactor. Therefore, basic nuclear data need to be improved, and this is accomplished through experimentation, which is often done using cold critical experiments. Considering the high cost of nuclear experiments, it is desired to have an optimized experiment that will provide the experimental data needed for maximum uncertainty reduction in the design responses. However, the optimization of the experiment is coupled to the reactor design itself because with reduced uncertainty in the design responses the reactor design can be re-optimized. It is thus desired to find the experiment design that gives the most optimized reactor design. Solution of this nested optimization problem is made possible by the use of the simulated annealing algorithm. Cost values for experiment design specifications and reactor design specifications are estimated and used to compute a total savings by comparing the a posteriori reactor cost to the a priori cost accounting for the offsetting cost of the experiment. This was done for the Argonne National Laboratory-developed Advanced Burner Test Reactor design concept employing a modified Zero Power Physics Reactor as the experimental facility.