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Division Spotlight
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.
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?
Lara M. Pierpoint
Nuclear Science and Engineering | Volume 186 | Number 1 | April 2017 | Pages 66-82
Technical Paper | doi.org/10.1080/00295639.2016.1272386
Articles are hosted by Taylor and Francis Online.
Nuclear fuel cycle studies have provided a wealth of information on the potential impacts of advanced recycling systems. Deciding on fuel cycle implementation pathways, however, requires synthesizing volumes of data and navigating trade-offs between fuel cycle options. This research presents a framework intended to aid fuel cycle decision makers by focusing on the cost reduction/waste mitigation trade-off as a lens for choosing a near-term strategy. The framework consists of a fuel cycle simulation coupled to a decision tree model that maps evolution scenarios. System scenarios are constructed by considering the technological options for fuel cycle evolution and key uncertainties expected to affect the desirability of those options. For this study, the once-through fuel cycle is compared to a self-sustaining fast reactor (FR) fuel cycle. Scenarios are compared using a value function that incorporates cost and waste metrics. The results indicate that uranium costs and the attainable level of reprocessing efficiency may not significantly impact the suite of desirable decisions. On the other hand, the pattern and timing of nuclear builds as well as the extent to which FRs provide true waste mitigation more significantly impact the attractiveness of closing the fuel cycle.