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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
U.S. nuclear capacity factors: Ideal for data centers?
Baseload nuclear generation doesn’t get the respect it deserves, if you ask nuclear operators. But the hyperscale data centers that process our digital lives—like the one right next to the Susquehanna plant in northeastern Pennsylvania—are pushing electricity demand up. Clean, reliable capacity now looks a lot more valuable.
Xiangyun Zhou, De’An Sun, Shixiang Hu, Weiding Zhuo, Min Lin
Nuclear Science and Engineering | Volume 198 | Number 6 | June 2024 | Pages 1308-1319
Research Article | doi.org/10.1080/00295639.2023.2245281
Articles are hosted by Taylor and Francis Online.
This study aims to model the temperature evolution near the heater of an in situ heating test for a nuclear waste repository. Based on the governing equation of heat conduction, a mathematical model is established to obtain temporal and spatial temperature distributions in the in situ heating test. Then, semi-analytical solutions are derived using the Laplace and Fourier transforms and their inverse transforms. The corresponding results in the time domain are obtained by conducting the Crump method. The semi-analytical solution is applied to predict temperature change near the heater in two in situ heating tests. Finally, a parametric study is conducted to explore the impacts of some parameters on the temperature evolution of the buffer layer for one prototype repository in situ heating test. The results show that the semi-analytical solution of the proposed model can well predict the temperature change near the heater in the two in situ heating tests. The thermal conductivities of the buffer layer and the rock layer and the thickness of the buffer layer have significant effects on the temperature evolution of the buffer layer in the prototype repository in situ heating test.