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Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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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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Keeping up with Kewaunee
In October 2012, Dominion Energy announced it was closing the Kewaunee nuclear power plant, a two-loop 574-MWe pressurized water reactor located about 27 miles southeast of Green Bay, Wis., on the western shore of Lake Michigan. At the time, Dominion said the plant was running well, but that low wholesale electricity prices in the region made it uneconomical to continue operation of the single-unit merchant power plant.
Anthony Michael Scopatz
Nuclear Technology | Volume 195 | Number 3 | September 2016 | Pages 273-287
Technical Paper | doi.org/10.13182/NT15-153
Articles are hosted by Taylor and Francis Online.
This paper presents a new fuel cycle benchmarking analysis methodology by coupling Gaussian process (GP) regression, a popular technique in machine learning, to dynamic time warping, a mechanism widely used in speech recognition. Together, they generate figures of merit (FOMs) for a suite of fuel cycle realizations. The FOMs may be computed for any time series metric that is of interest to a benchmark. For a given metric, these FOMs have the advantage that they reduce the dimensionality to a scalar and are thus directly comparable. The FOMs account for uncertainty in the metric itself, utilize information across the whole time domain, and do not require that the simulators use a common time grid. Here, a distance measure is defined that can be used to compare the performance of each simulator for a given metric. Additionally, a contribution measure is derived from the distance measure that can be used to rank order the impact of different partitions of a fuel cycle metric. Lastly, this paper warns against using standard signal-processing techniques for error reduction, as error reduction is better handled by the GP regression itself.