Skip to main navigation Skip to search Skip to main content

Development of robust indicators for the identification of electron temperature profile anomalies and application to JET

  • 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)
  • , 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)
  • , Riccardo Rossi
  • , JET Contributors

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)

    Abstract

    Recent experience with metallic devices operating in ITER relevant regions of the operational space, has shown that the disruptivity of these plasmas is unacceptably high. The main causes of the disruptions are linked to impurity accumulation in the core and edge cooling, resulting in unstable current profiles. Avoidance and prevention of the consequent instabilities require the early detection of anomalous electron temperature profiles. A series of indicators have been developed and their performances compared, to find the most suitable inputs for disruption predictors. Their properties are assessed on the basis of information content, reliability and real-time availability. The best performing ones provide much better results than the ones reported in the literature, as shown by both numerical tests with synthetic data and the analysis of experimental signals from JET with the ITER-like wall. They provide better accuracy, lower false alarms and earlier detection. The improved discriminatory capability of the developed indicators is expected to significantly improve the performance of the most advanced predictors recently reported in the literature.

    Original languageEnglish
    Article number045002
    JournalPlasma Physics and Controlled Fusion
    Volume64
    Issue number4
    DOIs
    Publication statusPublished - Apr 2022

    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

    • anomaly detection
    • disruption prediction
    • edge cooling
    • electron temperature hollowing

    Fingerprint

    Dive into the research topics of 'Development of robust indicators for the identification of electron temperature profile anomalies and application to JET'. Together they form a unique fingerprint.

    Cite this