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Theory based scaling of edge turbulence and implications for the scrape-off layer width

Journal Article · · Physics of Plasmas
DOI:https://doi.org/10.1063/1.4966564· OSTI ID:1340279
Turbulence and plasma parameter data from the National Spherical Torus Experiment (NSTX) is examined and interpreted based on various theoretical estimates. In particular, quantities of interest for assessing the role of turbulent transport on the midplane scrape-off layer heat flux width are assessed. Because most turbulence quantities exhibit large scatter and little scaling within a given operation mode, this paper focuses on length and time scales and dimensionless parameters between operational modes including Ohmic, low (L), and high (H) modes using a large NSTX edge turbulence database. These are compared with theoretical estimates for drift and interchange rates, profile modification saturation levels, a resistive ballooning condition, and dimensionless parameters characterizing L and H mode conditions. It is argued that the underlying instability physics governing edge turbulence in different operational modes is, in fact, similar, and is consistent with curvature-driven drift ballooning. Saturation physics, however, is dependent on the operational mode. Five dimensionless parameters for drift-interchange turbulence are obtained and employed to assess the importance of turbulence in setting the scrape-off layer heat flux width λq and its scaling. An explicit proportionality of the width λq to the safety factor and major radius (qR) is obtained under these conditions. Lastly, quantitative estimates and reduced model numerical simulations suggest that the turbulence mechanism is not negligible in determining λq in NSTX, at least for high plasma current discharges.
Research Organization:
Lodestar Research Corp., Boulder, CO (United States); Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)
Sponsoring Organization:
USDOE; USDOE Office of Science (SC), Fusion Energy Sciences (FES) (SC-24)
Contributing Organization:
Lodestar Res Corp, 2400 Cent Ave, Boulder, CO 80301 USA.
Grant/Contract Number:
AC02-09CH11466; FG02-02ER54678; FG02-97ER54392
OSTI ID:
1340279
Alternate ID(s):
OSTI ID: 1330725
OSTI ID: 1358115
Report Number(s):
DOE--ER/54392-82; LRC--16-166
Journal Information:
Physics of Plasmas, Journal Name: Physics of Plasmas Journal Issue: 11 Vol. 23; ISSN 1070-664X
Publisher:
American Institute of Physics (AIP)Copyright Statement
Country of Publication:
United States
Language:
English

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Theory based scaling of edge turbulence and implications for the scrape-off layer width dataset January 2016
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Cited By (9)

Theory based scaling of edge turbulence and implications for the scrape-off layer width dataset January 2016
Analysis of equilibrium and turbulent fluxes across the separatrix in a gyrokinetic simulation journal July 2018
Blob-hole correlation model for edge turbulence and comparisons with NSTX gas puff imaging data journal June 2018
High-resolution heat flux width measurements at reactor-level magnetic fields and observation of a unified width scaling across confinement regimes in the Alcator C-Mod tokamak journal July 2018
Divertor leg filaments in NSTX-U journal October 2018
Theory based scaling of edge turbulence and implications for the scrape-off layer width dataset January 2016
Analysis of equilibrium and turbulent fluxes across the separatrix in a gyrokinetic simulation text January 2018
Analysis Of Equilibrium And Turbulent Fluxes Across The Separatrix In A Gyrokinetic Simulation [Supplementary Data]
  • Charidakos, Ioannis Keramidas; Myra, James; Parker, Scott
  • Zenodo-Supplementary information for journal article at DOI: 10.1063/1.5037723, 15 files (333.7 kB) https://doi.org/10.5281/zenodo.1230039
dataset April 2018
Analysis Of Equilibrium And Turbulent Fluxes Across The Separatrix In A Gyrokinetic Simulation [Supplementary Data]
  • Charidakos, Ioannis Keramidas; Myra, James; Parker, Scott
  • Zenodo-Supplementary information for journal article at DOI: 10.1063/1.5037723, 15 files (333.7 kB) https://doi.org/10.5281/zenodo.1230040
dataset April 2018

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