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Validation of quasi-linear turbulent transport models against plasmas with dominant electron heating for the prediction of ITER PFPO-1 plasmas

  • Līga Avotiņa (Member of the Working Group)
  • , Larisa Baumane (Member of the Working Group)
  • , Mihails Haļitovs (Member of the Working Group)
  • , Juris Jansons (Member of the Working Group)
  • , Gunta Ķizāne (Member of the Working Group)
  • , Ričards Kovaldins (Member of the Working Group)
  • , Andris Leščinskis (Member of the Working Group)
  • , Broņislavs Leščinskis (Member of the Working Group)
  • , Elīna Pajuste (Member of the Working Group)
  • , Aigars Vītiņš (Member of the Working Group)
  • , Artūrs Zariņš (Member of the Working Group)
  • , Kiefer C.K.
  • , JET Contributors

    Research output: Contribution to journalArticlepeer-review

    24 Citations (Scopus)

    Abstract

    Kinetic profile predictions of ITER PFPO-1 plasmas require high accuracy in the central electron temperatures to be applied to the calculation of third harmonic electron cyclotron absorption. Correctly predicting the transition from L-mode to H-mode further requires precise estimates of the ion heat flux in the periphery of the plasma. Recent versions of the quasi-linear transport models TGLF and QuaLiKiz were tested against an extensive set of experimental results from ASDEX Upgrade (AUG) and JET-ILW, where the focus was put on AUG plasmas heated by ECRH. Spectra obtained from TGLF are compared to a set of linear gyrokinetic simulations performed with GKW. Electron and ion temperature profiles obtained with TGLF-SAT1geo show good agreement with the experimental profiles, but there is a slight tendency to underpredict central T e and T i at high ratios T e/T i. QuaLiKiz yields reasonable results for T e and T i profiles in plasmas where the ion temperature gradient mode is dominant, but predicts a significantly too weak transport in the presence of dominant trapped electron modes in conditions of strong central electron heating.

    Original languageEnglish
    Article number066035
    JournalNuclear Fusion
    Volume61
    Issue number6
    DOIs
    Publication statusPublished - Jun 2021

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    OECD Field of Science

    • 1.3 Physical Sciences

    Keywords

    • ITER prefusion power operation
    • tokamak
    • turbulent transport
    • validation quasi-linear models

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