U.S. Department of EnergyOffice of Scientific and Technical Information
Electron Temperature Gradient Driven Transport Model for Tokamak Plasmas
Abstract
A new model for electron temperature gradient (ETG) modes is developed as a component of the Multi-Mode anomalous transport module [T. Rafiq \textit{et al.,} Phys Plasmas \textbf{20}, 032506 (2013)] to predict a time dependent electron temperature profile in conventional and low aspect ratio tokamaks. This model is based on two-fluid equations that govern the dynamics of low-frequency short- and long-wavelength electromagnetic toroidal ETG driven drift modes. A low collisionality NSTX discharge is used to scan the plasma parameter dependence on the ETG real frequency, growth rate, and electron thermal diffusivity. Electron thermal transport is discovered in the deep core region where modes are more electromagnetic in nature. Several previously reported gyrokinetic trends are reproduced, including the dependencies of density gradients, magnetic shear, $$\beta$$ and gradient of $$\beta$$ $$(\betap)$$, collisionality, safety factor, and toroidicity, where $$\beta$$ is the ratio of plasma pressure to the magnetic pressure. The electron heat diffusivity associated with the ETG mode is discovered to be on a scale consistent with the experimental diffusivity determined by power balance analysis.
- Authors:
-
- Princeton Plasma Physics Laboratory
- Publication Date:
- DOE Contract Number:
- SC0013977; SC0021385
- Research Org.:
- Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- Subject:
- ETG; NSTX; Turbulence and transport; instabilities
- OSTI Identifier:
- 1888259
- DOI:
- https://doi.org/10.11578/1888259
Citation Formats
Rafiq, Tariq, Wilson, Christopher, Luo, Lixiang, Weiland, Jan, Schuster, Eugenio, Pankin, Alexei, Guttenfelder, Walter, and Kaye, Stan. Electron Temperature Gradient Driven Transport Model for Tokamak Plasmas. United States: N. p., 2022.
Web. doi:10.11578/1888259.
Rafiq, Tariq, Wilson, Christopher, Luo, Lixiang, Weiland, Jan, Schuster, Eugenio, Pankin, Alexei, Guttenfelder, Walter, & Kaye, Stan. Electron Temperature Gradient Driven Transport Model for Tokamak Plasmas. United States. doi:https://doi.org/10.11578/1888259
Rafiq, Tariq, Wilson, Christopher, Luo, Lixiang, Weiland, Jan, Schuster, Eugenio, Pankin, Alexei, Guttenfelder, Walter, and Kaye, Stan. 2022.
"Electron Temperature Gradient Driven Transport Model for Tokamak Plasmas". United States. doi:https://doi.org/10.11578/1888259. https://www.osti.gov/servlets/purl/1888259. Pub date:Fri Sep 02 00:00:00 EDT 2022
@article{osti_1888259,
title = {Electron Temperature Gradient Driven Transport Model for Tokamak Plasmas},
author = {Rafiq, Tariq and Wilson, Christopher and Luo, Lixiang and Weiland, Jan and Schuster, Eugenio and Pankin, Alexei and Guttenfelder, Walter and Kaye, Stan},
abstractNote = {A new model for electron temperature gradient (ETG) modes is developed as a component of the Multi-Mode anomalous transport module [T. Rafiq \textit{et al.,} Phys Plasmas \textbf{20}, 032506 (2013)] to predict a time dependent electron temperature profile in conventional and low aspect ratio tokamaks. This model is based on two-fluid equations that govern the dynamics of low-frequency short- and long-wavelength electromagnetic toroidal ETG driven drift modes. A low collisionality NSTX discharge is used to scan the plasma parameter dependence on the ETG real frequency, growth rate, and electron thermal diffusivity. Electron thermal transport is discovered in the deep core region where modes are more electromagnetic in nature. Several previously reported gyrokinetic trends are reproduced, including the dependencies of density gradients, magnetic shear, $\beta$ and gradient of $\beta$ $(\betap)$, collisionality, safety factor, and toroidicity, where $\beta$ is the ratio of plasma pressure to the magnetic pressure. The electron heat diffusivity associated with the ETG mode is discovered to be on a scale consistent with the experimental diffusivity determined by power balance analysis.},
doi = {10.11578/1888259},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Sep 02 00:00:00 EDT 2022},
month = {Fri Sep 02 00:00:00 EDT 2022}
}