Abstract Details
Abstracts
Author: Matthew Beidler
Requested Type: Poster
Submitted: 2024-04-22 08:30:35
Co-authors: E.M. Hollmann, D. Terranova, M. Yang, D. del-Castillo-Negrete, L.R. Baylor, and JET Contributors
Contact Info:
Oak Ridge National Laboratory
P.O. Box 2008
Oak Ridge, Tennessee 37831
USA
Abstract Text:
If not avoided or mitigated, runaway electrons (REs) can seriously damage the plasma-facing components (PFCs) of ITER and future reactors. If avoidance fails, shattered pellet injection (SPI) is the leading candidate to mitigate REs. Although progress has been made, there is a need for modeling and simulation studies to assess the efficacy of SPI and to optimize different dissipation strategies. The present work builds on validation studies that compared results from the KORC model with both DIII-D and JET [1], where KORC evolved a distribution of REs due to orbits through spatiotemporal electromagnetic fields and collisions with partially ionized impurities. A major finding of that work is the importance of the evolution of the spatiotemporal density profile due to impurity injection and interaction with REs. In particular, including the neutral impurity species is critical for modeling to match experimental results, but only ad hoc profiles for the neutral impurities were available at the time. To address this need, the current study presents preliminary results of including time-dependent, experimentally inferred plasma and impurity profiles from the model developed in Ref. [2]. Additionally, this work includes the avalanche source of secondary electrons during the current quench of the RE mitigation, which is found to not qualitatively change the macroscopic evolution but has a consequence for the PFC surface heating.
[1] M.T. Beidler, et al., IAEA FEC, Nice, France (Virtual) TH/P1-9 (2021)
[2] E.M. Hollmann, et al., Nucl. Fusion, 59 106014 (2019)
This work is supported by the US DOE under contracts DE-AC05-00OR22725, DE-FG02-07ER54917, and DE-AC02-05CH11231 and the European Union via the Euratom Research and Training Program (Grant Agreement No. 101052200—EUROfusion) and under the EUROfusion Enabling Research project ENRTEC.01.IST. The views and opinions expressed herein do not necessarily reflect those of the European Union or Commission.
Comments:
Please place next to Minglei Yang.