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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Fusion Science and Technology
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Deep Space: The new frontier of radiation controls
In commercial nuclear power, there has always been a deliberate tension between the regulator and the utility owner. The regulator fundamentally exists to protect the worker, and the utility, to make a profit. It is a win-win balance.
From the U.S. nuclear industry has emerged a brilliantly successful occupational nuclear safety record—largely the result of an ALARA (as low as reasonably achievable) process that has driven exposure rates down to what only a decade ago would have been considered unthinkable. In the U.S. nuclear industry, the system has accomplished an excellent, nearly seamless process that succeeds to the benefit of both employee and utility owner.
Ming-Jiu Ni, Ramakanth Munipalli, Neil B. Morley, Peter Huang, Mohamed A. Abdou
Fusion Science and Technology | Volume 52 | Number 3 | October 2007 | Pages 587-594
Technical Paper | First Wall, Blanket, and Shield | doi.org/10.13182/FST07-A1552
Articles are hosted by Taylor and Francis Online.
A consistent and conservative scheme designed by Ni et al. for the simulation of MHD flows with low magnetic Reynolds number has been implemented into a 3D parallel code of HIMAG based on solving the electrical potential equation. The scheme and code are developed on an unstructured collocated mesh, on which velocity (u), pressure (p), and electrical potential ([variant phi]) are located in the cell center, while current fluxes are located on the cell faces. The calculation of current fluxes is performed using a conservative scheme, which is consistent with the discretization scheme for the solution of electrical potential Poisson equation. The Lorentz force is calculated at cell centers based on a conservative formula or a conservation interpolation of the current density. We validate the numerical methods, and the parallel code by simulating 2D fully developed MHD flows with analytical solutions existed and 3D MHD flows with experimental data available. The validation cases are conducted with Hartmann number from 100 to 104 on rectangular grids and/or unstructured hexahedral and prism grids.