Turbulent transport regimes and the scrape-off layer heat flux width
Abstract
Understanding the responsible mechanisms and resulting scaling of the scrape-off layer (SOL) heat flux width is important for predicting viable operating regimes in future tokamaks, and for seeking possible mitigation schemes. Here in this paper, we present a qualitative and conceptual framework for understanding various regimes of edge/SOL turbulence and the role of turbulent transport as the mechanism for establishing the SOL heat flux width. Relevant considerations include the type and spectral characteristics of underlying instabilities, the location of the gradient drive relative to the SOL, the nonlinear saturation mechanism, and the parallel heat transport regime. We find a heat flux width scaling with major radius R that is generally positive, consistent with previous findings [J. W. Connor et al., Nucl. Fusion 39, 169 (1999)]. The possible relationship of turbulence mechanisms to the neoclassical orbit width or heuristic drift mechanism in low (L) -mode and high (H) -mode plasmas is considered, together with implications for future experiments.
- Authors:
-
- Lodestar Research Corporation, Boulder, CO (United States)
- Publication Date:
- Research Org.:
- Lodestar Research Corp., Boulder, CO (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Fusion Energy Sciences (FES)
- OSTI Identifier:
- 1167692
- Alternate Identifier(s):
- OSTI ID: 1228608
- Report Number(s):
- LRC-15-160
Journal ID: ISSN 1070-664X
- Grant/Contract Number:
- FG02-97ER54392
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physics of Plasmas
- Additional Journal Information:
- Journal Volume: 22; Journal Issue: 4; Journal ID: ISSN 1070-664X
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; thermodynamic states and processes; power electronics; cognitive science; functional equations; leptons; plasma confinement; plasma instabilities; tokamaks; turbulence theory and modelling; regression analysis
Citation Formats
Myra, J. R., D'Ippolito, D. A., and Russell, D. A. Turbulent transport regimes and the scrape-off layer heat flux width. United States: N. p., 2015.
Web. doi:10.1063/1.4919255.
Myra, J. R., D'Ippolito, D. A., & Russell, D. A. Turbulent transport regimes and the scrape-off layer heat flux width. United States. https://doi.org/10.1063/1.4919255
Myra, J. R., D'Ippolito, D. A., and Russell, D. A. Tue .
"Turbulent transport regimes and the scrape-off layer heat flux width". United States. https://doi.org/10.1063/1.4919255. https://www.osti.gov/servlets/purl/1167692.
@article{osti_1167692,
title = {Turbulent transport regimes and the scrape-off layer heat flux width},
author = {Myra, J. R. and D'Ippolito, D. A. and Russell, D. A.},
abstractNote = {Understanding the responsible mechanisms and resulting scaling of the scrape-off layer (SOL) heat flux width is important for predicting viable operating regimes in future tokamaks, and for seeking possible mitigation schemes. Here in this paper, we present a qualitative and conceptual framework for understanding various regimes of edge/SOL turbulence and the role of turbulent transport as the mechanism for establishing the SOL heat flux width. Relevant considerations include the type and spectral characteristics of underlying instabilities, the location of the gradient drive relative to the SOL, the nonlinear saturation mechanism, and the parallel heat transport regime. We find a heat flux width scaling with major radius R that is generally positive, consistent with previous findings [J. W. Connor et al., Nucl. Fusion 39, 169 (1999)]. The possible relationship of turbulence mechanisms to the neoclassical orbit width or heuristic drift mechanism in low (L) -mode and high (H) -mode plasmas is considered, together with implications for future experiments.},
doi = {10.1063/1.4919255},
journal = {Physics of Plasmas},
number = 4,
volume = 22,
place = {United States},
year = {Tue Apr 28 00:00:00 EDT 2015},
month = {Tue Apr 28 00:00:00 EDT 2015}
}
Web of Science
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