Speaker
Mr
Robert Budny
(USA)
Description
Time-dependent integrated predictive modeling is important for helping ITER achieve the physics goals of studying reactor-relevant burning plasmas. The PTRANSP code is being used to generate time-dependent integrated predictions. These are self-consistent in that the heating, current-drive, torques and equilibria are calculated using predicted plasma profiles, and vice versa.
Predictions for ITER have incorporated physics-based models such as GLF23. An improved Trapped gyro-Landau Fluid model TGLF contains physics not included in GLF23 such as realistic shaped finite aspect ratio flux geometry, and collisionality. TGLF achieves more accurate predictions of temperatures measured in L-mode, H-mode and hybrid discharges than does GLF23. This paper describes a major upgrade to PTRANSP which implements TGLF. The upgrade uses a new robust solver for stiff transport models.
Both GLF23 and TGLF are incorporated. The solver has both standalone and PTRANSP-coupled modes. The implementation of TGLF is verified by comparing results derived using the XPTOR code, and is tested using H-mode ITER-like plasmas. Predictions for ITER plasmas are given and compared with predictions using GLF23.
Country or International Organization of Primary Author
USA
Collaboration (if applicable, e.g., International Tokamak Physics Activities)
ITPA-TC
Primary author
Mr
Robert Budny
(USA)
Co-authors
Gary Staebler
(GAT)
Greg Hammett
(Princeton University)
Dr
Steve Jardin
(Princeton University)
Dr
Xingqiu Yuan
(Princeton University)
