Skip navigation
Please use this identifier to cite or link to this item:
Title: Computation of Alfvèn eigenmode stability and saturation through a reduced fast ion transport model in the TRANSP tokamak transport code
Contributors: Podesta, M.
Gorelenkova, M.
Gorelenkov, N.N.
White, R.B.
U. S. Department of Energy contract number DE-AC02-09CH11466
Keywords: Neutral beam injection
Energetic particle transport
Reduced transport models
NSTX spherical torus
Alfven instabilities
Issue Date: Sep-2017
Publisher: Princeton Plasma Physics Laboratory, Princeton University
Related Publication: Plasma Physics and Controlled Fusion, Vol. 59, p. 095006 (September 2017)
Abstract: Alfvénic instabilities (AEs) are well known as a potential cause of enhanced fast ion transport in fusion devices. Given a specific plasma scenario, quantitative predictions of (i) expected unstable AE spectrum and (ii) resulting fast ion transport are required to prevent or mitigate the AE- induced degradation in fusion performance. Reduced models are becoming an attractive tool to analyze existing scenarios as well as for scenario prediction in time-dependent simulations. In this work, a neutral beam heated NSTX discharge is used as reference to illustrate the potential of a reduced fast ion transport model, known as kick model, that has been recently implemented for interpretive and predictive analysis within the framework of the time-dependent tokamak transport code TRANSP. Predictive capabilities for AE stability and saturation amplitude are first assessed, based on given thermal plasma profiles only. Predictions are then compared to experimental results, and the interpretive capabilities of the model further discussed. Overall, the reduced model captures the main properties of the instabilities and associated effects on the fast ion population. Additional information from the actual experiment enables further tuning of the model’s parameters to achieve a close match with measurements.
Appears in Collections:NSTX

Files in This Item:
File Description SizeFormat 
ARK_DATA.zip4.14 MBUnknownView/Download
readme.txt6.07 kBTextView/Download

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