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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.
M. Caro, J. Ligou
Nuclear Science and Engineering | Volume 83 | Number 2 | February 1983 | Pages 242-252
Technical Paper | doi.org/10.13182/NSE83-A18217
Articles are hosted by Taylor and Francis Online.
Handling the highly anisotropic scattering of fast neutrons with conventional methods usually means that high-order Legendre expansions can be necessary to obtain correct angular fluxes. This drawback in standard transport calculations is avoided by applying the Boltzmann-Fokker-Planck (BFP) method, already used in transport of charged particles, to neutrons. Two methods are described to obtain the relevant input data for the one-dimensional BFP-1 code, one using basic differential scattering cross sections and the other using existing standard multigroup libraries. Numerical results for both methods are produced, revealing BFP as a powerful method when solving transport problems dealing with very fast neutrons. It is found that high accuracy, even for extreme cases of anisotropy, is achieved without increase of the computational effort.