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EPRI’s new program aims to strengthen grid resilience
The Electric Power Research Institute has launched a global initiative to prepare future grids by modernizing how the electricity-generating sector detects, anticipates, and responds to emerging risks and manages technological transformation. The nonprofit energy research and development organization intends for the initiative, called Rapid Adaptation of Grid Defense, Analytics, and Resilience (RADAR), to provide a scalable framework, advanced tools, and targeted training for strengthening grid resilience and reliability.
J. A. Snipes, N. Basse, P. Bonoli, C. Boswell, E. Edlund, A. Fasoli, R. S. Granetz, L. Lin, Y. Lin, R. Parker, M. Porkolab, J. Sears, V. Tang, S. Wukitch
Fusion Science and Technology | Volume 51 | Number 3 | April 2007 | Pages 437-450
Technical Paper | Alcator C-Mod Tokamak | doi.org/10.13182/FST07-A1431
Articles are hosted by Taylor and Francis Online.
Energetic particle physics is studied in Alcator C-Mod in reactor relevant regimes with high density and equilibrated electron and ion temperatures. Stable Alfvén eigenmodes are excited with low-power active magnetohydrodynamic antennas in the absence of a significant energetic particle tail to directly measure the damping rate of the modes. Stable toroidal Alfvén eigenmode (TAE) damping rates between 0.5% < / < 4.5% have been observed in diverted and limited plasmas. Alfvén eigenmodes are destabilized with high-power hydrogen minority ion cyclotron radio frequency (ICRF) heating (PICRF < 6 MW) in lower-density plasmas in the current rise and in relatively high-density ([bar]ne < 2.5 × 1020 m-3) H-mode plasmas, which creates an energetic hydrogen ion tail with calculated energies up to 400 keV. Low toroidal mode number (n < 4) unstable modes are observed in the current rise with magnetic pickup coils at the wall and phase contrast imaging density fluctuation measurements in the core. Observations of energetic particle modes or TAEs that decrease in frequency and mode number with time up to a large sawtooth collapse indicate that fast particles play a role in stabilizing sawteeth. Alfvén eigenmodes can also be used as diagnostics to precisely constrain the q profile and provide a qualitative measure of the fast particle distribution time evolution.