Skip navigation
Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01rn3014659
Title: Density Limits as Disruption Forecasters for Spherical Tokamaks
Contributors: Berkery, John
U. S. Department of Energy contract number DE-AC02-09CH11466
Keywords: density limit, disruptions, tokamak
Issue Date: 30-Jun-2023
Publisher: Princeton Plasma Physics Laboratory, Princeton University
Abstract: Fusion power output from spherical tokamaks would benefit from increased confined plasma density, but there exists a limit on the density before confinement is lost and the plasma current is disrupted. This density limit has long been characterized by a simple, global Greenwald limit proportional to the plasma current and inversely proportional to the cross sectional area of the plasma. It is shown that in the database of discharges from the NSTX and MAST spherical tokamaks, the likelihood of disruption does increase above the Greenwald limit, and especially in the plasma current rampdown phase. The physics of the density limit has been recently theoretically explored through local criteria. Several of these are tested using the disruption event characterization and forecasting (DECAFTM) code for their potential effectiveness as disruption warning signals. For a limited set of NSTX discharges, a local island power balance criteria was found to be less reliable, presently, than the Greenwald limit. An empirical critical edge line density and a boundary turbulent transport limit were both tested for MAST-U, which has an electron density profile measurement with high spatial resolution in the outer part of the plasma. Both were found to have similar dependencies on key plasma parameters. In a limited set of MAST-U discharges that appear to disrupt due to rising density at values under the Greenwald limit, crossing of the boundary turbulent transport limit occurred close to the time of disruption. Finally, these limits were evaluated for their potential use in real-time, and it was found that with the necessary real-time inputs and with refinement through further testing, these limits could be implemented in a real-time disruption forecasting system.
URI: http://arks.princeton.edu/ark:/88435/dsp01rn3014659
Appears in Collections:MAST-U

Files in This Item:
File Description SizeFormat 
Fig1.dat1.47 MBUnknownView/Download
Fig2.dat20.76 kBUnknownView/Download
Fig3.dat1.22 MBUnknownView/Download
Fig4.dat22.35 kBUnknownView/Download
Fig5.dat1.16 kBUnknownView/Download
Fig6.dat3.1 MBUnknownView/Download
Fig7.dat51.06 kBUnknownView/Download
Fig8.dat20.85 MBUnknownView/Download
Fig9_right.dat22.7 MBUnknownView/Download
Fig9_left.dat21.03 MBUnknownView/Download
Fig9_mid.dat21.55 MBUnknownView/Download
Fig10_right.dat22.02 MBUnknownView/Download
Fig10_left.dat22.04 MBUnknownView/Download
Fig10_mid.dat22.01 MBUnknownView/Download
Fig11.dat51.59 kBUnknownView/Download
Readme.txt2.27 kBTextView/Download


Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.