Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Scaling of density peaking in H-mode plasmas based on a combined database of AUG and JET observations

Academic Article
Publication Date:
2007
abstract:
For the first time, scalings for density peaking in tokamaks are obtained from a database consisting of observations from two devices, ASDEX Upgrade and JET. The investigation relies on an inversion method for the interferometer signals which grants consistent reconstructions despite differences in interferometer geometries. By combining observations from these devices, correlations between physics parameters investigated for their role in determining density peaking are reduced. Multiple regression analyses show that in the combined database collisionality is the most relevant parameter. The particle source provided by neutral beam injection provides a contribution to the peaking, which, although not negligible, is not large enough to explain the whole observed variation of density peaking. The device size, introduced as an alias for possible systematic differences between the devices not captured by the regression parameters, is found to play only a small role in regressions which include collisionality. Device size becomes relevant in scalings which exclude collisionality and include the ratio of the density to the Greenwald density limit. This indicates that density peaking is more likely to be a function of collisionality rather than of the fraction of the density limit. All the scalings which include collisionality in the regression variables predict a peaked density profile for the ITER standard scenario.
Iris type:
01.01 Articolo in rivista
Keywords:
___
List of contributors:
Mantica, Paola
Authors of the University:
MANTICA PAOLA
Handle:
https://iris.cnr.it/handle/20.500.14243/43178
Published in:
NUCLEAR FUSION
Journal
  • Overview

Overview

URL

http://iopscience.iop.org/0029-5515/47/9/033
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)