Multiple-isotope pellet cycles captured by turbulent transport modelling in the JET tokamak

Abstract

For the first time the pellet cycle of a multiple-isotope plasma is successfully reproduced with reduced turbulent transport modelling, within an integrated simulation framework. Future nuclear fusion reactors are likely to be fuelled by cryogenic pellet injection, due to higher penetration and faster response times. Accurate pellet cycle modelling is crucial to assess fuelling efficiency and burn control. In recent JET tokamak experiments, deuterium pellets with reactor-relevant deposition characteristics were injected into a pure hydrogen plasma. Measurements of the isotope ratio profile inferred a Deuterium penetration time comparable to the energy confinement time. The modelling successfully reproduces the plasma thermodynamic profiles and the fast deuterium penetration timescale. The predictions of the reduced turbulence model QuaLiKiz in the presence of a negative density gradient following pellet deposition are compared with GENE linear and nonlinear higher fidelity modelling. The results are encouraging with regard to reactor fuelling capability and burn control.

12 pages, 9 figures, 5 tables

References in corpus (4)

• Tractable flux-driven temperature, density, and rotation profile evolution with the quasilinear gyrokinetic transport model QuaLiKiz
• Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling
• Microstability analysis of pellet fuelled discharges in MAST
• First-principles-based multiple-isotope particle transport modelling at JET

Cited by in corpus (3)

• A quasi-linear model of electromagnetic turbulent transport and its application to flux-driven transport predictions for STEP
• Efficient dataset construction using active learning and uncertainty-aware neural networks for plasma turbulent transport surrogate models
• Quasilinear gyrokinetic theory: A derivation of QuaLiKiz