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Modelling performed for predictions of fusion power in JET DTE2: overview and lessons learnt

    Research output: Contribution to journalArticlepeer-review

    24 Citations (Scopus)

    Abstract

    For more than a decade, an unprecedented predict-first activity has been carried in order to predict the fusion power and provide guidance to the second Deuterium-Tritium (D-T) campaign performed at JET in 2021 (DTE2). Such an activity has provided a framework for a broad model validation and development towards the D-T operation. It is shown that it is necessary to go beyond projections using scaling laws in order to obtain detailed physics based predictions. Furthermore, mixing different modelling complexity and promoting an extended interplay between modelling and experiment are essential towards reliable predictions of D-T plasmas. The fusion power obtained in this predict-first activity is in broad agreement with the one finally measured in DTE2. Implications for the prediction of fusion power in future devices, such as ITER, are discussed.

    Original languageEnglish
    Article number112003
    Pages (from-to)1-21
    JournalNuclear Fusion
    Volume63
    Issue number11
    DOIs
    Publication statusPublished - Nov 2023

    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

    Keywords

    • fusion
    • JET
    • modelling
    • tokamak

    OECD Field of Science

    • 1.3 Physical Sciences

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