Integrated predictive modeling of high-mode tokamak plasmas using a combination of core and pedestal models

Glenn Bateman, Miguel A. Bandrés, Thawatchai Onjun, Arnold H. Kritz, Alexei Pankin

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

An integrated modeling protocol is used to predict the temperature and density profiles in H-mode plasmas and to compare the profiles iwth experimental data from 33 discharges in the Joint European Torus (JET) and DIII-D tokamaks. As the results of the simulations using the given protocol are compared with experimental data from 33 JET and DIII-D H-mode discharges, it is found that the average relative rms deviation is approximately 10% and the average relative offset is approximately 1% for the ion temperature, electron temperature, and electron density profiles.

Original languageEnglish (US)
Pages (from-to)4358-4370
Number of pages13
JournalPhysics of Plasmas
Volume10
Issue number11
DOIs
StatePublished - Nov 2003
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'Integrated predictive modeling of high-mode tokamak plasmas using a combination of core and pedestal models'. Together they form a unique fingerprint.

Cite this