Interpretive MHD modeling of dispersive shell pellet injection for rapid shutdown in tokamaks
Abstract
Dispersive shell pellet (DSP) injection is modeled with the extended-MHD code NIMROD for interpretive insight into the results of recent DIII-D DSP experiments and to explore the dynamics of an inside-out thermal quench for disruption mitigation in tokamaks. Simulations of the pre-thermal quench (TQ) phase indicate that the upper bound for the quantity of ablated carbon shell material that will not perturb the flux surfaces is in the ballpark of, but somewhat below the experimental quantity. Even below this quantity, sufficient electrons are added to the plasma by the shell material to produce significant dilution cooling before the TQ is triggered. Simulations carried through the end of the TQ have very large amplitude MHD fluctuations (δB/B>10-2) at the time of the plasma current spike associated with current profile redistribution. Finally, after the plasma current spike, which is of comparable amplitude to that measured in DIII-D experiments, none of the runaway electron test-particles whose orbits are tracked throughout the simulation remain confined.
- Authors:
-
- Fiat Lux, San Diego, CA (United States)
- Publication Date:
- Research Org.:
- General Atomics, San Diego, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Fusion Energy Sciences (FES)
- OSTI Identifier:
- 1607855
- Alternate Identifier(s):
- OSTI ID: 1618152
- Report Number(s):
- DOE-GA-54309
Journal ID: ISSN 0029-5515; DE-FC02-04ER54698; TRN: US2104992
- Grant/Contract Number:
- FG02-95ER54309; FC02-04ER54698; AC02-05CH11231
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Nuclear Fusion
- Additional Journal Information:
- Journal Volume: 60; Journal Issue: 6; Journal ID: ISSN 0029-5515
- Publisher:
- IOP Science
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; tokamak; disruption; MHD; mitigation
Citation Formats
Izzo, Valerie A. Interpretive MHD modeling of dispersive shell pellet injection for rapid shutdown in tokamaks. United States: N. p., 2020.
Web. doi:10.1088/1741-4326/ab8544.
Izzo, Valerie A. Interpretive MHD modeling of dispersive shell pellet injection for rapid shutdown in tokamaks. United States. https://doi.org/10.1088/1741-4326/ab8544
Izzo, Valerie A. 2020.
"Interpretive MHD modeling of dispersive shell pellet injection for rapid shutdown in tokamaks". United States. https://doi.org/10.1088/1741-4326/ab8544. https://www.osti.gov/servlets/purl/1607855.
@article{osti_1607855,
title = {Interpretive MHD modeling of dispersive shell pellet injection for rapid shutdown in tokamaks},
author = {Izzo, Valerie A.},
abstractNote = {Dispersive shell pellet (DSP) injection is modeled with the extended-MHD code NIMROD for interpretive insight into the results of recent DIII-D DSP experiments and to explore the dynamics of an inside-out thermal quench for disruption mitigation in tokamaks. Simulations of the pre-thermal quench (TQ) phase indicate that the upper bound for the quantity of ablated carbon shell material that will not perturb the flux surfaces is in the ballpark of, but somewhat below the experimental quantity. Even below this quantity, sufficient electrons are added to the plasma by the shell material to produce significant dilution cooling before the TQ is triggered. Simulations carried through the end of the TQ have very large amplitude MHD fluctuations (δB/B>10-2) at the time of the plasma current spike associated with current profile redistribution. Finally, after the plasma current spike, which is of comparable amplitude to that measured in DIII-D experiments, none of the runaway electron test-particles whose orbits are tracked throughout the simulation remain confined.},
doi = {10.1088/1741-4326/ab8544},
url = {https://www.osti.gov/biblio/1607855},
journal = {Nuclear Fusion},
issn = {0029-5515},
number = 6,
volume = 60,
place = {United States},
year = {Wed Apr 01 00:00:00 EDT 2020},
month = {Wed Apr 01 00:00:00 EDT 2020}
}
Web of Science
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