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Multi machine scaling of fuel retention in 4 carbon dominated tokamaks

  • E. Tsitrone*
  • , B. Pégourié
  • , Y. Marandet
  • , Jari Likonen
  • , et al.
  • *Corresponding author for this work
    • French National Center for Scientific Research (CNRS)
    • Max-Planck-Institut für Plasmaphysik (IPP)
    • Forschungszentrum Jülich GmbH (FZJ)
    • KTH Royal Institute of Technology
    • Culham Science Centre
    • MIT Massachusetts Institute of Technology
    • University of California System
    • Institut de Recherche sur la Fusion par Confinement Magnétique (IRFM)
    • Aix-Marseille Université

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    In order to benchmark predictions for the in vessel tritium inventory in ITER, a survey of fuel retention measured in 4 carbon dominated tokamaks (TEXTOR, ASDEX Upgrade in the 2002–2003 carbon configuration, Tore Supra and JET) was performed, showing retention rates from ∼1 g D/h in TEXTOR (L mode, limiter machine) up to ∼6–12 g D/h in AUG (H mode, divertor machine). A simple scaling used for ITER predictions is applied for comparison with experimental values: (1) estimate of wall fluxes, (2) estimate of the gross carbon erosion, (3) estimate of the net erosion/redeposition assuming a redeposition fraction and (4) estimate of the retention rate using D/C ratio scalings. The validity of each step is discussed, showing that this approach yields the right order of magnitude, but tends to underestimate the experimental values unless a high wall flux, a low local redeposition fraction and/or a high D/C ratio are used.
    Original languageEnglish
    Pages (from-to)S735-S739
    JournalJournal of Nuclear Materials
    Volume415
    Issue number1
    DOIs
    Publication statusPublished - 2011
    MoE publication typeA1 Journal article-refereed
    Event19th International Conference on Plasma Surface Interactions in Controlled Fusion Devices, PSI-19 - San Diego, United States
    Duration: 24 May 201028 May 2010

    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

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