Multi-tokamak Application of a VDE Forecasting Approach for Disruption Avoidance using DECAF
POSTER
Abstract
The ability to forecast vertical displacement events (VDEs) for the purposes of disruption avoidance and mitigation will be a crucial feature of any future tokamak-based fusion power plant. A study of the accuracies of common vertical stability metrics, including the vertical instability growth rate and a vertical force balance, applied to datasets consisting of full shot-years from the MAST-U, KSTAR, and NSTX tokamaks has resulted in the development of a VDE forecasting approach that advances disruption warning time on average by over a factor of three and can facilitate avoidance of the ideally vertically uncontrollable regime altogether. DECAF was used for the development and validation of this model [1]. The applicability of this approach in real-time is enabled by a linear forward model that produces two-dimensional toroidal current density profiles from external magnetic field measurements with high accuracy (R2 of 0.992 compared to using full equilibrium reconstructions alone). Work is underway to employ this model in the real-time plasma control system on KSTAR. This study and the performance of a resulting ‘time to disruption’ estimator indicate this approach is an attractive strategy for implementation on future tokamak reactors as a means of minimizing the risk of VDE-induced disruptions.
*This research was supported by the U.S. Department of Energy under grants DE-SC0020415, DE-SC0021311, and DE-SC0018623.
Presenters
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Matthew Tobin
- Columbia University