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Title |
129: Optimization and Control of ITER-like MGI |
Name: | John Wesley wesley@fusion.gat.com |
Affiliation: | General Atomics |
Research Area: | Disruption Mitigation |
Presentation time: |
Requested |
Co-Author(s): | |
ITPA Joint Experiment : |
Yes |
Description: | Evaluate optimization and control of low-quantity high-Z MGI applied in the context of meeting ITER DMS requirements for thermal radiation duration and symmetry followed by control of the current decay rate. Assess with single and two-location fast valves, with pure high-Z (neon or argon) and mixed D2 + high-Z gases. Goals include assessing feasibility of controlling TE radiation duration and symmetry and ensuing current decay, providing data on/for scaling of same with target plasma configuration and plasma size/configuration/energy (basis for comparison of DIII-D attributes with larger/smaller plasma size, etc.) Establish insight for ITER DMS gas delivery and control requirements. Assess variance and degree of repeat controllability. Assess RE seed generation and/or progress to RE plateau. |
ITER IO Urgent Research Task : |
Yes |
Experimental Approach/Plan: | 1-valve and 2-valve MGI with neon, argon and mixed gases ~ 200 Torr-liter neon input, LSN and vertical stable IWL targets with q ~3, ohmic -> max NBI input. |
Background: | ITER proposes low-Q neon MGI as candidate disruption mitigation technique. Thermal energy radiation duration and symmetry must satisfy no-wall-melt requirements. Subsequent rate of current decay must fall within 50-150 ms limits. Feasibility of fulfilling these sequential requirements needs to be assessed in an integrated experiment. Critical issue/requirement for 2016 Final Design Review |
Resource Requirements: | MEDUSA and CEREBUS MGI systems, standard NBI and ECH, IWL and LSN equilibrium |
Diagnostic Requirements: | Usual disruption diagnostics including multi-azimuth bolometry, 3-D magnetics, periscope and divertor IRTV, fast camera imaging, RE seed diagnostics, during injection TS profiles, |
Analysis Requirements: | 3_D plume models, fast EFIT or JFIT reconstructions, NIMROD simulations, .... |
Other Requirements: | |