2001
DOI: 10.1016/s0022-3115(00)00546-8
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Prediction and mitigation of disruptions in ASDEX Upgrade

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Cited by 27 publications
(20 citation statements)
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“…In the last regard, however, there has been significant recent progress in providing tokamak operators with 'online' impending disruption prediction data that can, in principle, be used to either avoid disruption or to soften the consequences of disruptions that do occur e.g. [306]. The subject of techniques for reliable a priori disruption prediction is addressed in section 3.6.…”
Section: Mechanisms For Major Disruptionmentioning
confidence: 99%
“…In the last regard, however, there has been significant recent progress in providing tokamak operators with 'online' impending disruption prediction data that can, in principle, be used to either avoid disruption or to soften the consequences of disruptions that do occur e.g. [306]. The subject of techniques for reliable a priori disruption prediction is addressed in section 3.6.…”
Section: Mechanisms For Major Disruptionmentioning
confidence: 99%
“…These pellets are typically composed of moderate-Z or high-Z materials, and the pellet size and velocity are chosen such that the pellet can penetrate deep into the plasma core. Impurity pellet shutdown experiments demonstrating non-disruptive dissipation of the plasma thermal and/or magnetic energies have been performed in JT-60U [175][176][177], ASDEX-Upgrade [178,179], DIII-D [174,180,181], Alcator C-Mod [182], JET [183] and TFTR [184,185]. The efficacy of killer pellet shutdown clearly depends on having sufficient penetration of the pellet into the plasma, such that the resulting impurities are deposited more-or-less uniformly throughout the plasma cross-section.…”
Section: Other Plasma Disturbances Eg Elmsmentioning
confidence: 99%
“…The characteristics of transient phenomena, such as disruption, vertical displacement events and ELMs will be investigated, and control measures -for example, impurity gas injection for disruption mitigation [35] and pellet injection for ELM mitigation [17] -will be tested. A neural network will be trained [36,37] and tested for disruption prediction. Schemes for impurity transport control will be tested.…”
Section: Operation Plan and Strategy During The Early Operation Phasementioning
confidence: 99%