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Title: Tractable flux-driven temperature, density, and rotation profile evolution with the quasilinear gyrokinetic transport model QuaLiKiz

Journal Article · · Plasma Physics and Controlled Fusion
 [1];  [2];  [3];  [4]; ORCiD logo [5];  [6];  [2];  [3]; ORCiD logo [4];  [7]; ORCiD logo [8];  [2];  [9];  [9];  [10];  [11]
  1. Dutch Inst. for Fundamental Energy Research, Eindhoven (Netherlands); ; Alternative Energies and Atomic Energy Commission (CEA), Saint Paul Lez Durance (France)
  2. Alternative Energies and Atomic Energy Commission (CEA), Saint Paul Lez Durance (France)
  3. Culham Science Centre, Abingdon (United Kingdom). Culham Centre for Fusion Energy (CCFE), EURATOM/UKAEA Fusion Association
  4. Max Planck Inst. for Plasma Physics, Garching (Germany)
  5. Univ. of Milano-Bicocca (Italy); National Research Council (CNR), Milano (Italy)
  6. Aix-Marseille Univ., and CNRS/IN2P3, Marseille (France)
  7. Ecole Polytechnique, Palaiseau (France)
  8. Technische Univ. Wien, Vienna (Austria)
  9. Dutch Inst. for Fundamental Energy Research, Eindhoven (Netherlands); Eindhoven Univ. of Technology (Netherlands)
  10. Chalmers Univ. of Technology, Goteborg (Sweden)
  11. National Research Council (CNR), Milano (Italy); Culham Science Centre, Abingdon (United Kingdom). Culham Centre for Fusion Energy (CCFE), EURATOM/UKAEA Fusion Association

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 (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. Optimisation of the dispersion relation solution algorithm within integrated modelling applications leads to flux calculations $$\times {10}^{6-7}$$ 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 includes the impact of rotation and temperature anisotropy induced poloidal asymmetry on heavy impurity transport, important for W-transport applications. Application within the JETTO integrated modelling code results in 1 s of JET plasma simulation within 10 h using 10 CPUs. Simultaneous predictions of core density, temperature, and toroidal rotation profiles for both JET hybrid and baseline experiments are presented, covering both ion and electron turbulence scales. The simulations are successfully compared to measured profiles, with agreement mostly in the 5%–25% range according to standard figures of merit. QuaLiKiz is now open source and available at www.qualikiz.com.

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Organization:
USDOE
Contributing Organization:
JET Contributors
OSTI ID:
1543926
Journal Information:
Plasma Physics and Controlled Fusion, Vol. 59, Issue 12; ISSN 0741-3335
Publisher:
IOP ScienceCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 52 works
Citation information provided by
Web of Science

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Cited By (6)

Growth rates of ITG modes in the presence of flow shear journal January 2019
Predict-first experiments and modeling of perturbative cold pulses in the DIII-D tokamak journal June 2019
Fast modeling of turbulent transport in fusion plasmas using neural networks journal February 2020
Fast modeling of turbulent transport in fusion plasmas using neural networks text January 2019
Fast modeling of turbulent transport in fusion plasmas using neural networks text January 2019
Fast modeling of turbulent transport in fusion plasmas using neural networks text January 2019

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