Predictive modelling of JT-60SA high-beta steady-state plasma with impurity accumulation

N. Hayashi, Kazuo Hoshino, M. Honda, S. Ide

Research output: Contribution to journalArticle

Abstract

The integrated modelling code TOPICS has been extended to include core impurity transport, and applied to predictive modelling of JT-60SA high-beta steady-state plasma with the accumulation of impurity seeded to reduce the divertor heat load. In the modelling, models and conditions are selected for a conservative prediction, which considers a lower bound of plasma performance with the maximum accumulation of impurity. The conservative prediction shows the compatibility of impurity seeding with core plasma with high-beta (β N > 3.5) and full current drive conditions, i.e. when Ar seeding reduces the divertor heat load below 10 MW m-2, its accumulation in the core is so moderate that the core plasma performance can be recovered by additional heating within the machine capability to compensate for Ar radiation. Due to the strong dependence of accumulation on the pedestal density gradient, high separatrix density is important for the low accumulation as well as the low divertor heat load. The conservative prediction also shows that JT-60SA has enough capability to explore the divertor heat load control by impurity seeding in high-beta steady-state plasmas.

Original languageEnglish
Article number066001
JournalNuclear Fusion
Volume58
Issue number6
DOIs
Publication statusPublished - 2018 Apr 6
Externally publishedYes

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impurities
inoculation
heat
predictions
compatibility
gradients
heating
radiation

Keywords

  • diverter heat load
  • high beta
  • impurity accumulation
  • impurity seeding
  • integrated modeling
  • JT-60SA
  • steady state scenario

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Condensed Matter Physics

Cite this

Predictive modelling of JT-60SA high-beta steady-state plasma with impurity accumulation. / Hayashi, N.; Hoshino, Kazuo; Honda, M.; Ide, S.

In: Nuclear Fusion, Vol. 58, No. 6, 066001, 06.04.2018.

Research output: Contribution to journalArticle

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