Aligning Thermal and Current Quenches with a High Density Low-Z Injection
POSTER
Abstract
The conventional approach for thermal quench (TQ) mitigation in a
tokamak disruption is through high-Z impurity injection that
radiates away the plasma thermal energy before it reaches the wall.
The price to pay is robust Ohmic-to-runaway current conversion. An
alternative approach is to deploy low-Z (mostly deuterium or
hydrogen) injection that aims to slow down the TQ, and ideally
aligns it with current quench (CQ). We have investigated this
approach via 3D MHD simulations using the PIXIE3D code. By boosting
the hydrogen density, a fusion-grade plasma is dilutionally cooled at
approximately the original pressure. Energy loss to the
wall is controlled by a Bohm outflow condition at the boundary where
the magnetic field intercepts the wall. Robust MHD instabilities proceed as
usual, while the collisionality of the plasma has been greatly
increased and parallel transport is now in the Braginskii regime.
The result is that the decreased transport loss along open field
lines slows down the TQ enough to be comparable to the CQ.
tokamak disruption is through high-Z impurity injection that
radiates away the plasma thermal energy before it reaches the wall.
The price to pay is robust Ohmic-to-runaway current conversion. An
alternative approach is to deploy low-Z (mostly deuterium or
hydrogen) injection that aims to slow down the TQ, and ideally
aligns it with current quench (CQ). We have investigated this
approach via 3D MHD simulations using the PIXIE3D code. By boosting
the hydrogen density, a fusion-grade plasma is dilutionally cooled at
approximately the original pressure. Energy loss to the
wall is controlled by a Bohm outflow condition at the boundary where
the magnetic field intercepts the wall. Robust MHD instabilities proceed as
usual, while the collisionality of the plasma has been greatly
increased and parallel transport is now in the Braginskii regime.
The result is that the decreased transport loss along open field
lines slows down the TQ enough to be comparable to the CQ.
Presenters
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Jason Hamilton
Los Alamos National Laboratory
Authors
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Jason Hamilton
Los Alamos National Laboratory
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Giannis Keramidas
Los Alamos National Laboratory
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Xianzhu Tang
Los Alamos Natl Lab
-
Luis Chacon
Los Alamos Natl Lab