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Second round of Launch Pad selections includes eight newcomers
The National Reactor Innovation Center at Idaho National Laboratory has announced 13 project selections across 12 companies for the Nuclear Energy Launch Pad, a Department of Energy–led program that integrates reactor and fuel facility authorization, testing, and deployment support for private nuclear developers.
The Launch Pad emerged from the Reactor Pilot Program and Fuel Line Pilot Program.
According to INL, projects selected include reactor development and nuclear fuel cycle advancements, including fabrication, enrichment, and conversion technologies.
W. Biel, TEXTOR Team
Fusion Science and Technology | Volume 47 | Number 2 | February 2005 | Pages 246-252
Technical Paper | TEXTOR: Diagnostics | doi.org/10.13182/FST05-A703
Articles are hosted by Taylor and Francis Online.
Spectroscopy in fusion experiments is an important tool to identify impurities in the plasma and to analyze their properties based on the measurement of their characteristic line radiation. For the temperature range typical in fusion plasmas, the dominant part of each impurity in the plasma is highly ionized, and its most intense spectral lines radiate in the vacuum ultraviolet (VUV) wavelength range (10 to 200 nm). The VUV overview spectrometers installed at TEXTOR working at moderate resolution allow one to identify intrinsic plasma impurities such as B (Z = 5), C (Z = 6), Fe (Z = 26), and Cu (Z = 29) as well as seeded impurities such as Ne (Z = 10) and Ar (Z = 18) and to derive information on their relative densities in the plasma. Optimizing these spectrometers for high time resolution provides a tool to analyze transient phenomena like impurity transport processes. In combination with impurity transport modeling and atomic data, the radial distribution of the radial diffusion coefficient is determined from the experimental data. For the case of ohmic discharges, the effective radial diffusion coefficient is found to be anomalously enhanced by more than one order of magnitude as compared to neoclassical predictions.