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RIC panel discusses pathway to fusion commercialization
Fusion leaders at the Nuclear Regulatory Commission’s annual Regulatory Information Conference discussed the path forward for regulating the burgeoning fusion industry. The speakers discussed government and private industry initiatives in the United States and United Kingdom, with a focus on efforts shaping the near-term deployment of commercial fusion machines.
A recurring theme was the need to explain the difference between fission and fusion. Representatives from the Department of Energy and Type One Energy highlighted this as an important distinction for regulators, as it will allow fusion to undergo its own independent maturation process for developing standards and regulations in the same way that fission has. Lea Perlas, Fusion Program director at the Virginia Department of Health, said that confusion between fission and fusion has been a common cause for misplaced concerns among community members surrounding Commonwealth Fusion Systems’ proposed fusion plant site near Richmond, Va.
Nickolas J. Adamowicz, Annalisa Manera, Edward W. Larsen
Nuclear Science and Engineering | Volume 197 | Number 2 | February 2023 | Pages 262-278
Technical Paper | doi.org/10.1080/00295639.2022.2112900
Articles are hosted by Taylor and Francis Online.
The coarse-mesh finite difference (CMFD) method is commonly used to accelerate the iterative convergence of single-physics neutron transport problems. For multiphysics problems, the neutron cross sections depend on the temperature and density, both of which depend on the fission heat source; the resulting nonlinear feedback can significantly degrade the performance of CMFD and even cause instability. In this paper, we propose, for a class of one-dimensional (1-D) model multiphysics problems, a new nonlinearly implicit low-order (NILO) CMFD (NILO-CMFD) acceleration method to improve the performance of CMFD-based methods for solving loosely coupled multiphysics problems. Our numerical testing and Fourier analysis show that for the 1-D model problems, the new NILO-CMFD method achieves the same rapid convergence rate that CMFD achieves for single-physics problems.