Preliminary Monte Carlo simulation of beryllium migration during JET ITER-like wall divertor operation

M. I. Airila, A. Järvinen, M. Groth, P. Belo, S. Wiesen, S. Brezinsek, K. Lawson, D. Borodin, A. Kirschner, J. P. Coad, K. Heinola, J. Likonen, M. Rubel, A. Widdowson

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Abstract Migration of beryllium into the divertor and deposition on tungsten in the final phase of the first ITER-like-wall campaign of JET are modelled with the 3D Monte Carlo impurity transport code ERO. The simulation covers the inner wall and the inner divertor. To generate the plasma background for Monte Carlo tracing of impurity particles, we use the EDGE2D/EIRENE code set. At the relevant regions of the wall, the estimated plasma conditions vary around Te≈5eV and ne≈2×1017m-3 (far-scrape-off layer; more than 10 cm away from the LCFS). We calculate impurity distributions in the plasma using the main chamber source as a free parameter in modelling and attempt to reproduce inter-ELM spectroscopic Be II line (527 nm) profiles at the divertor. The present model reproduces the level of emission close to the inner wall, but further work is needed to match also the measured emission peak values and ultimately link the modelled poloidal net deposition profiles of beryllium to post mortem data.

Original languageEnglish
Article number48423
Pages (from-to)800-804
Number of pages5
JournalJournal of Nuclear Materials
Volume463
DOIs
StatePublished - 22 Jul 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2014 EURATOM.

Funding

This work was supported by Tekes – Finnish Funding Agency for Technology and Innovation – and EURATOM , and carried out within the framework of the European Fusion Development Agreement. The views and opinions expressed herein do not necessarily reflect those of the European Commission. The work was partially funded by the Academy of Finland project No. 134930 .

FundersFunder number
Tekes – Finnish Funding Agency for Technology and Innovation
Horizon 2020 Framework Programme633053
H2020 Euratom
Academy of Finland134930

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