Model based optimization of Advanced Tokamak plasma start-up
ORAL
Abstract
AT scenarios offer improved stability, confinement and pulse length compared to standard scenarios due to an increase of the plasma’s bootstrap current jbs∝q∇p. They are accessed by externally manipulating the safety factor profile q, which can be applied during the current ramp-up, or after an equilibrium is reached. The former allows for a longer discharge and more unconventional current distributions, but due to the volatility of the early plasma, creating such a scenario experimentally, with feed-forward control usually takes a lot of trial and error.
To combat this, a model has been developed in the transport code ASTRA, capable of accurately predicting the plasma response to actuator changes with a run-time of only a few minutes. This allows to quickly test large amounts of possible actuator configurations. The model includes Gyro-Bohm based core transport, edge transport according to a recently developed scaling law as well as the L/H-transition based on the heating power at the separatrix. Good agreement between simulation and experiment has been achieved.
The suitability of this model to design such a scenario has successfully been tested at ASDEX-U. Further improvement of the physics models and assumptions towards predictive capability for future machines is planned.
To combat this, a model has been developed in the transport code ASTRA, capable of accurately predicting the plasma response to actuator changes with a run-time of only a few minutes. This allows to quickly test large amounts of possible actuator configurations. The model includes Gyro-Bohm based core transport, edge transport according to a recently developed scaling law as well as the L/H-transition based on the heating power at the separatrix. Good agreement between simulation and experiment has been achieved.
The suitability of this model to design such a scenario has successfully been tested at ASDEX-U. Further improvement of the physics models and assumptions towards predictive capability for future machines is planned.
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Presenters
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Raphael Schramm
Max-Planck-Institute for Plasma Physics
Authors
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Raphael Schramm
Max-Planck-Institute for Plasma Physics
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Alexander Bock
Max-Planck-Institute for Plasma Physics
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Maximilian Reisner
Max-Planck-Institute for Plasma Physics
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Emiliano Fable
Max-Planck-Institute for Plasma Physics, Max Planck Institute for Plasma Physics
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Joerg Stober
Max-Planck-Institute for Plasma Physics, Max Planck Institute for Plasma Physics, Max-Planck-Institut für Plasmaphysik, Garching, Germany
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Marc Maraschek
Max-Planck-Institute for Plasma Physics
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Hartmut Zohm
Max Planck Institute for Plasma Physics