Speaker
Himank Anand
Description
See the full Abstract at http://ocs.ciemat.es/EPS2018ABS/pdf/P2.1074.pdf
Validation of a real-time model-based approach for ITER first wall heat
flux control on the TCV tokamak
H. Anand1, R. A. Pitts1, J. A. Snipes1, P. C. De Vries1, L. Kos3, L. Zabeo1 ,Y. Gribov1, S.
Coda2, C. Galperti2, M. Brank3, and G. Simic3
1
ITER Organization, Route de Vinon-sur-Verdon, CS 90 046, 13067 St.-Paul-lez-Durance
Cedex, France
2
Ecole Polytechnique Fédérale de Lausanne (EPFL), SPC, CH-1015 Lausanne, Switzerland
3
University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia
A real-time (RT) first wall (FW) heat load control system will be required at a very early
stage of ITER plasma operations. The long pulse nature of the device imposes active cooling
of all plasma-facing components (PFCs) and thus strict control of surface power flux density
at all times. A 2-D physics-based and control oriented heat flux estimation model, based on
real time (RT) equilibrium reconstruction has already been successfully implemented into
the ITER Plasma Control System Simulation platform (PCSSP). However, an additional
module accounting for 3-D geometrical structure of the FW panels is essential to estimate a
more realistic value of true heat flux on the plasma facing components. The evaluation of an
improved RT approach to first wall heat flux control accounting for shaping of the FW panels
on the TCV tokamak will be reported. For a given magnetic equilibrium, the integration of
the 3-D effect into the algorithm is performed by offline determination of the heat load
distribution on the inner FW panels of the TCV tokamak using a new utility, SMITER GUI,
developed at the ITER Organization. A comparison of surface power flux density with the
infra-red measurements of the TCV central column tiles is also presented. The associated
weights with respect to the position in the poloidal plane and magnitudes of the peak heat
flux are extracted for implementation into the 2-D approach. The implementation and
experimental performance of the new improved RT model based approach on the TCV
digital control system will be reported.
