Bulletin of the American Physical Society
64th Annual Meeting of the APS Division of Plasma Physics
Volume 67, Number 15
Monday–Friday, October 17–21, 2022; Spokane, Washington
Session NO05: Particle and Power Handling, Divertor Physics, and Plasma-Material Interactions
9:30 AM–12:30 PM,
Wednesday, October 19, 2022
Room: Ballroom 111 B
Chair: Michele Romanelli, Tokamak Energy Ltd
Abstract: NO05.00013 : GITR Monte Carlo Predictive Simulations of the DIII-D SAS Divertor*
11:54 AM–12:06 PM
Presenter:
Alyssa L Hayes
(University of Tennessee)
Authors:
Alyssa L Hayes
(University of Tennessee)
Harry Hughes
(Oak Ridge National Laboratory)
Tim Younkin
(Oak Ridge National Lab)
Jerome Guterl
(General Atomics - San Diego)
Gregory Sinclair
(General Atomics - San Diego)
Zachary J Bergstrom
(General Atomics - Fusion)
Jeremy D Lore
(Oak Ridge National Lab)
Jon T Drobny
(University of Illinois at Urbana-Champaign)
Davide Curreli
(University of Illinois)
Brian D Wirth
(University of Tennessee)
One goal of the Small Angle Slot (SAS) divertor in the DIII-D tokamak is to reduce net erosion. GITR will be used to provide a high physics fidelity model for tracking gross erosion and re-deposition, and correspondingly, to determine the net erosion of W impurities along the SAS surface. GITR will also be used to simulate W migration along the SOL and deposition along the wall. A synthetic diagnostic in GITR will be used to predict leakage from the scrape-off layer into the core.
Although GITR has been validated in a linear device, it has not yet been validated in a tokamak environment. Initial GITR simulations of W transport in the SAS divertor, in combination with experimental analyses, provide a validation opportunity for GITR predictions in a tokamak. This validation would allow GITR to be used to inform future designs of a SAS divertor geometry to further minimize net erosion and the leakage of W impurities into the core.
*This work contributes to the Plasma Surface Interactions 2 project, which is part of the Scientific Discovery through Advanced Computing (SciDAC) program, and is jointly sponsored by the Fusion Energy Sciences (FES) and Advanced Scientific Computing Research (ASCR) programs within the U.S. Department of Energy Office of Science.
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