Speaker
Michele Marin
Description
See the full Abstract at http://ocs.ciemat.es/EPS2018ABS/pdf/O2.102.pdf
Isotope-mixing at JET: experiments and modelling
M. Marin1 , J. Citrin1 , A. Ho1 , C. Bourdelle4 , Y. Camenen3 , F. J. Casson2 ,
F. Koechl5 , M. Maslov2 and JET contributors6
1 DIFFER - Dutch Institute for Fundamental Energy Research, Eindhoven, The Netherlands
2 CCFE, Culham Science Centre, Abingdon, Oxon, OX14 3DB, UK
3 CNRS, Aix-Marseille Univ., PIIM UMR7345, Marseille, France
4 CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France
5 OAW/ATI, Atominstitut, TU Wien, 1020 Vienna, Austria
6 See the authors list of X. Litaudon et al 2017 Nucl. Fusion 57 102001
Accurate modelling of particle transport is crucial to interpret and predict tokamak experi-
ments. Multiple-isotope experiments at JET have allowed a detailed investigation of ion particle
transport, providing a valuable test of the underlying theory. These experiments varied the core
isotope sources by scanning the relative contribution of peripheral gas injection (edge source)
and neutral beam injection (core source). The isotope density peaking followed the electron
density peaking, and was found to be insensitive to the core isotope source [1]. This is con-
sistent with ion particle transport coefficients being significantly larger than electron particle
transport coefficients.
This interpretation is supported by recent analytical, nonlinear and quasilinear analysis in the
Ion Temperature Gradient (ITG) dominated regime [2]. We show that the experimental observa-
tions of the mixed-isotope experiments are well reproduced by first-principle-based flux-driven
transport modelling using the quasilinear turbulent transport model QuaLiKiz [3] within the
JINTRAC integrated modelling suite [4]. This encompasses the successful reproduction of ion
and electron temperature profiles, electron density profiles, and the insensitivity of isotope pro-
files to core sources. This result has implications for multi-isotope core fuelling and burn con-
trol, where in the ITG regime we predict both fast isotope mixing and peaked isotope profiles.
References
[1] M. Maslov et al. 2018 Submitted to Nucl. Fusion.
[2] C. Bourdelle et al. 2018 Submitted to Nucl. Fusion.
[3] Citrin, et al. 2017 Plasma Phys. Control. Fusion, 59(12):124005.
[4] M. Romanelli et al. 2014 Plasma and Fusion Research Volume 9.
