Tractable flux-driven temperature, density, and rotation profile evolution with the quasilinear gyrokinetic transport model QuaLiKiz
J Citrin, C Bourdelle, F J Casson, C Angioni, N Bonanomi, Y Camenen, X, Garbet, L Garzotti, T G\"orler, O G\"urcan, F Koechl, F Imbeaux, O Linder, K, van de Plassche, P Strand, G Szepesi, JET Contributors

TL;DR
This paper presents an optimized quasilinear gyrokinetic transport model, QuaLiKiz, capable of rapidly predicting tokamak plasma profile evolution, including effects of rotation and impurities, with good agreement to experimental data.
Contribution
The paper introduces significant computational improvements in QuaLiKiz, enabling fast, flux-driven plasma profile simulations including rotation and impurity effects, suitable for integrated tokamak modeling.
Findings
Flux calculations are 10^6 to 10^7 times faster than nonlinear simulations.
Simulations successfully predict core plasma profiles within 5-25% accuracy.
Application to JET demonstrates practical, rapid profile evolution predictions.
Abstract
Quasilinear turbulent transport models are a successful tool for prediction of core tokamak plasma profiles in many regimes. Their success hinges on the reproduction of local nonlinear gyrokinetic fluxes. We focus on significant progress in the quasilinear gyrokinetic transport model QuaLiKiz [C. Bourdelle et al. 2016 Plasma Phys. Control. Fusion 58 014036], which employs an approximated solution of the mode structures to significantly speed up computation time compared to full linear gyrokinetic solvers. Optimization of the dispersion relation solution algorithm within integrated modelling applications leads to flux calculations faster than local nonlinear simulations. This allows tractable simulation of flux-driven dynamic profile evolution including all transport channels: ion and electron heat, main particles, impurities, and momentum. Furthermore, QuaLiKiz now…
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