M. Sertoli

Characterization of reduced-order turbulence models in the L-mode pedestal-forming region in JET

G. Snoep [1,2], C. Bourdelle [3], J. Citrin [1,2], A. Ho [4,1,2], M. J. Pueschel, P. Vincenzi [5,6,7], E. R. Solano, M. Sertoli [8], E. Delabie [9], Jet Contributors

Abstract

Linear instability characterization of seven JET discharges just prior to the L-H transition is performed at $ρ_{\text{tor}} \in [0.85,0.9,0.95]$ with the gyrokinetic GENE code. The discharges cover both the low- and high-density branches of the L-H transition at two different triangularities. Sensitivities to driving gradients, normalized electron collisonality $ν_e^*$, hydrogen isotope mass, magnetic geometry and finite-$β$ effects are all characterized. At $ρ_{\text{tor}}=0.85$ and $0.9$, trapped-electron modes (TEMs) propagating in both the electron- or ion-drift direction are observed at the lowest densities. At higher density ion-temperature-gradient (ITG) modes are dominant, some of which exhibit trapped-ion drive and unconventional ballooning structures. At $ρ_{\text{tor}}=0.95$, the low-density cases are similar to inner radii, while at higher densities subdominant modes are destabilized by higher collisionalities. The electron collisonality $ν_e^*$ is scanned around the experimental values at all three radii and for the seven discharges studied. The experimental collisionality range corresponds to a region of minimum linear drive between ITG-TEM mode branches at lower collisionalities and resistive mode branches at higher collisionalities. Moreover, the quasilinear particle flux is directed inward only in the collisionality domain where the linear drive is minimized at $ρ_{\text{tor}}=0.85$ for all densities and $0.9$ only for the highest densities. Model fidelity reduction is performed on the GENE simulations to evaluate the impact of various assumptions and simplifications made by the state-of-the-art quasilinear models QuaLiKiz and TGLF. QuaLiKiz is found to be inadequate beyond $ρ_{\text{tor}}=0.85$, while TGLF-SAT2 agrees well with linear spectra and the quasilinear heat fluxes from GENE up to and including $ρ_{\text{tor}}=0.9$.

Transport Characteristics and Modelling of ST40 Hot Ion Plasmas

MS Anastopoulos Tzanis, MR Hardman, Y Zhang, X Zhang, A Sladkomedova, A Dnestrovskii, YS Na, JH Lee, SJ Park, TO Gorman, H Lowe, M Romanelli, M Sertoli, M Gemmel, J Woods, HV Willett, ST40 Team [1]

Abstract

In this paper, the turbulent transport properties of ST40 hot ion plasmas are examined and fully predictive time evolving modelling of a hot ion plasma pulse was performed. Understanding turbulent transport on spherical tokamaks (STs) is challenging due to their unique geometry characteristics. ST40 hot ion plasmas are typically unstable to ion scale Trapped Electron Modes (TEMs) and Ubiquitous Modes (UMs), driven from the kinetic response of trapped particles and passing ions, and electron scale Electron Temperature Gradient Modes (ETGs) at the edge of the plasma. A comparison between the linear unstable modes of the gyro-kinetic code GS2 and the gyro-fluid code TGLF showed that both models agree to a satisfactory level. However, some discrepancy was observed at the core of the plasma where a large fraction of beams ions exists, and electromagnetic effects are potentially important. Turbulent fluxes were also observed to be somewhat overpredicted with TGLF. The core heat ion transport is observed to be close to neoclassical levels due to turbulence suppression from high rotation and fast ion stabilisation, while the edge region is dominated by anomalous transport in both ions and electrons. As a result, enhanced energy confinement is observed in those plasmas driven by the reduced turbulent core region and the confined beam ions. Fully predictive simulations using the ASTRA transport solver coupled with SPIDER, NUBEAM, NCLASS and TGLF together with a novel reduced scrape of layer (SOL) model for the simulation of the last closed flux surface (LCFS) boundary conditions was attempted. Agreement in global quantities but also kinetic profiles between the predictive and interpretative modelling as well as experimental measurements was observed.