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Comparable levels of turbulent and neoclassical transport of high- Z impurities: integrated modelling in AUG, JET and C-Mod

Title: Comparable levels of turbulent and neoclassical transport of high- Z impurities: integrated modelling in AUG, JET and C-Mod
Authors: Fajardo, D.; Angioni, C.; Giroud, C.; Perks, C.; Loarte, A.; Poradzinski, M.; Rice, J.; Samoylov, O.; Carvalho, I.; Huang, Z.; Keeling, D.; King, D.; Kos, D.; Labit, B.; Litherland-Smith, E.; Menmuir, S.; Vianello, N.
Contributors: Euratom Research and Training Programme
Source: Nuclear Fusion ; volume 66, issue 4, page 046005 ; ISSN 0029-5515 1741-4326
Publisher Information: IOP Publishing
Publication Year: 2026
Description: Operation with beam heating is prone to central accumulation of high- Z impurities in present-day tokamaks due to a dominant neoclassical pinch. Fusion reactors are expected to have a different core transport regime for high- Z impurities, where turbulent transport completely dominates in both diffusion and convection, causing flat impurity profiles. In this work, we present integrated simulations of plasmas that approach this regime of less dominant neoclassical and stronger turbulent high- Z impurity transport in three tokamaks: ASDEX Upgrade, JET and Alcator C-Mod. The modelling is first validated against a suite of diagnostics measuring both the main plasma and the impurity profiles. The high- Z impurity densities are found to be flat in both experiments and simulations. The impurity transport coefficients as calculated by theory-based turbulent and neoclassical transport models are then analysed, showing comparable or even dominant turbulent components instead of the more typical dominant neoclassical high- Z impurity convection. The implications for a reactor are discussed.
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1088/1741-4326/ae4b53
DOI: 10.1088/1741-4326/ae4b53/pdf
Availability: https://doi.org/10.1088/1741-4326/ae4b53; https://iopscience.iop.org/article/10.1088/1741-4326/ae4b53; https://iopscience.iop.org/article/10.1088/1741-4326/ae4b53/pdf
Rights: https://creativecommons.org/licenses/by/4.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
Accession Number: edsbas.C8C398E2
Database: BASE