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Fusion energy: Progress, partnerships, and the path to deployment
Over the past decade, fusion energy has moved decisively from scientific aspiration toward a credible pathway to a new energy technology. Thanks to long-term federal support, we have significantly advanced our fundamental understanding of plasma physics—the behavior of the superheated gases at the heart of fusion devices. This knowledge will enable the creation and control of fusion fuel under conditions required for future power plants. Our progress is exemplified by breakthroughs at the National Ignition Facility and the Joint European Torus.
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.