skip to main content

DOE PAGESDOE PAGES

This content will become publicly available on January 17, 2019

Title: Identifying microturbulence regimes in a TCV discharge making use of physical constraints on particle and heat fluxes

Reducing the uncertainty on physical input parameters derived from experimental measurements is essential towards improving the reliability of gyrokinetic turbulence simulations. This can be achieved by introducing physical constraints. Amongst them, the zero particle flux condition is considered here. A first attempt is also made to match as well the experimental ion/electron heat flux ratio. This procedure is applied to the analysis of a particular Tokamak à Configuration Variable discharge. A detailed reconstruction of the zero particle flux hyper-surface in the multi-dimensional physical parameter space at fixed time of the discharge is presented, including the effect of carbon as the main impurity. Both collisionless and collisional regimes are considered. Hyper-surface points within the experimental error bars are found. In conclusion, the analysis is done performing gyrokinetic simulations with the local version of the GENE code, computing the fluxes with a Quasi-Linear (QL) model and validating the QL results with non-linear simulations in a subset of cases.
Authors:
 [1] ;  [1] ;  [2] ;  [1] ;  [3] ; ORCiD logo [1] ; ORCiD logo [4] ;  [4] ; ORCiD logo [4]
  1. Swiss Plasma Center, Lausanne (Switzerland)
  2. Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
  3. UCLA Physics and Astronomy, Los Angeles, CA (United States)
  4. Max-Planck-Institut fur Plasmaphysik, Garching (Germany)
Publication Date:
Grant/Contract Number:
AC02-09CH11466
Type:
Accepted Manuscript
Journal Name:
Physics of Plasmas
Additional Journal Information:
Journal Volume: 25; Journal Issue: 1; Journal ID: ISSN 1070-664X
Publisher:
American Institute of Physics (AIP)
Research Org:
Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY
OSTI Identifier:
1419797

Mariani, Alberto, Brunner, S., Dominski, J., Merle, A., Merlo, G., Sauter, O., Gorler, T., Jenko, F., and Told, D.. Identifying microturbulence regimes in a TCV discharge making use of physical constraints on particle and heat fluxes. United States: N. p., Web. doi:10.1063/1.5006408.
Mariani, Alberto, Brunner, S., Dominski, J., Merle, A., Merlo, G., Sauter, O., Gorler, T., Jenko, F., & Told, D.. Identifying microturbulence regimes in a TCV discharge making use of physical constraints on particle and heat fluxes. United States. doi:10.1063/1.5006408.
Mariani, Alberto, Brunner, S., Dominski, J., Merle, A., Merlo, G., Sauter, O., Gorler, T., Jenko, F., and Told, D.. 2018. "Identifying microturbulence regimes in a TCV discharge making use of physical constraints on particle and heat fluxes". United States. doi:10.1063/1.5006408.
@article{osti_1419797,
title = {Identifying microturbulence regimes in a TCV discharge making use of physical constraints on particle and heat fluxes},
author = {Mariani, Alberto and Brunner, S. and Dominski, J. and Merle, A. and Merlo, G. and Sauter, O. and Gorler, T. and Jenko, F. and Told, D.},
abstractNote = {Reducing the uncertainty on physical input parameters derived from experimental measurements is essential towards improving the reliability of gyrokinetic turbulence simulations. This can be achieved by introducing physical constraints. Amongst them, the zero particle flux condition is considered here. A first attempt is also made to match as well the experimental ion/electron heat flux ratio. This procedure is applied to the analysis of a particular Tokamak à Configuration Variable discharge. A detailed reconstruction of the zero particle flux hyper-surface in the multi-dimensional physical parameter space at fixed time of the discharge is presented, including the effect of carbon as the main impurity. Both collisionless and collisional regimes are considered. Hyper-surface points within the experimental error bars are found. In conclusion, the analysis is done performing gyrokinetic simulations with the local version of the GENE code, computing the fluxes with a Quasi-Linear (QL) model and validating the QL results with non-linear simulations in a subset of cases.},
doi = {10.1063/1.5006408},
journal = {Physics of Plasmas},
number = 1,
volume = 25,
place = {United States},
year = {2018},
month = {1}
}