Title: ETG high-amplitude streamers
 1(I) Microturbulence in magnetic fusion devices 
 New insights from gyrokinetic simulation  
theory F. Jenko, C. Angioni, T. Dannert, F. 
Merz, A.G. Peeters, and P. Xanthopoulos IPP, 
Garching and Greifswald
(II) Theoretical understanding of core transport 
phenomena in ASDEX Upgrade C. Angioni, R. Dux, 
A. Manini, A.G. Peeters, F. Ryter, R. Bilato, T. 
Dannert, A. Jacchia, F. Jenko, C.F. Maggi, R. 
Neu, T. Pütterich, J. Schirmer, J. Stober, W. 
Suttrop, G. Tardini, and the ASDEX Upgrade team 
 IPP, Garching 21st IAEA Fusion Energy 
Conference, Chengdu/China, 16-21 October 2006 
 2A rough outline of this talk
Complex phenomena
PART II
PART I
Quasilinear models
Nonlinear gyrokinetic simulations
All nonlinear gyrokinetic simulations shown in 
this talk have been performed with the continuum 
code GENE. 
 3Adiabatic ITG turbulence in a simple tokamak
- Reference case for core turbulence simulations 
-  
-  Cyclone base case  also serves as standard 
 paradigm of turbulence
-  idealized physical parameters adiabatic 
 electrons s-a model equilibrium
- Key findings 
-  
-  saturation via zonal flows 
-  ion heat flux is offset-linear 
-  nonlinear upshift of threshold
GENE data
What about all the other transport channels? How 
generic is the adiabatic ITG s-a scenario? 
 4Microturbulence in stellarators 
 5An example Wendelstein 7-X
W7-X is minimized with respect to neoclassical 
losses Role of turbulent transport 
in (optimized) stellarators? Effect of magnetic 
geometry on turbulence (tokamak edge etc.)?
A  R/a gt 10 
 6Adiabatic ITG turbulence in the stellarator W7-X
increasing R/LTi
linear threshold R/LTi  9 (a/LTi  1)
Nonlinear upshift of critical temperature 
gradient by some 20. Very low transport levels 
due to strong zonal flow activity (?E?). 
 7TEM turbulence in tokamaks 
 8Basic properties of TEM turbulence
- Systematic gyrokinetic study of TEM turbulence 
-  
- Relatively weak zonal flow activity 
- 2. Formation of radial structures 
-  
- 3. Structures appear to be remnants of linear 
 modes
Dannert  Jenko 05 
 9Nonlinear saturation in TEM turbulence
For the transport-dominating modes, the ExB 
nonlinearity is well represented by a diffusivity
transport dominating regime
transport dominating regime 
 10Nonlinear saturation in TEM turbulence (contd)
Dressed test mode approach in the spirit of 
renormalized perturbation theory explains 
nonlinear saturation and serves as basis for a 
transport model.
Dressed test mode approach
Parallel weighting
weighting function 
 11A novel quasilinear transport model
Qi and G from QL ratios
weighted w.r.t. parallel mode structure
QL model
NL GK simulation
 This model is able to capture key features of 
TEM turbulence and can be used to predict 
TEM-induced transport. 
 12An empirical critical gradient model
-  Many dedicated experiments with dominant 
 electron heating
-  
-  Transport is dominated by TEM turbulence (low Ti 
 ? ETG modes stable)
-  
-  Interpretation via an empirical critical 
 gradient (CG) model
-  
-  Confirmed by nonlinear gyrokinetic simulations 
 with GENE
F. Imbeaux et al., PPCF 2001 X. Garbet et al., 
PPCF 2004
R/Ln  0 
 13R/LTe dependence for large density gradients
 R/Ln gt 2.5 Conventional (quasi-)linear 
models no critical gradient (density gradient 
drive) Nonlinear simulations and new 
quasilinear model effective critical 
gradient electron heat flux has offset-linear 
scaling
-  similar as in adiabatic ITG case 
-  implies Te profile stiffness 
-  coupling of particle and electron heat flux
14q dependence of TEM-induced transport
Conventional QL theories predict a relatively 
weak dependence on q, but 
 15States of zero particle flux in ITG-TEM turbulence
Observation of a particle pinch (G lt 0) for low 
values of R/Ln (ITG regime).
?  ß  0
Jenko, Dannert  Angioni 05 
 16Experimental identification of TEM features 
 17Existence of a threshold in R/LTe
- AUG L-mode plasmas 
-  0.8 MW ECRH, little OH) 
- gradual reduction of central ECRH, balanced by 
 increase
-  of off-axis heating
F. Ryter et al., PRL 2005
ETG stable
Threshold behavior is observed directly power 
balance and transient transport consistent with 
both linear gyrokinetics and CG model. 
 18Collisional stabilization of TEMs
Density ramp in AUG L-mode plasmas and 
quasilinear analysis
With increasing collisionality, the R/LTe 
dependence of the electron heat flux decreases. 
Eventually, the dominant mode changes from TEM to 
ITG. 
 19Impurity transport in the core 
 20Experimental observations in AUG
General finding No central impurity 
accumulation when central heat transport is 
anomalous! Example W accumulation is 
suppressed by 0.8 MW of central ECRH during 
a high density phase with 5 MW of NBI
R. Neu et al., JNM 2003 
 21Quasilinear gyrokinetic study of an impurity trace
15524 (ECRH phase mid radius)
nominal parameters  R/LTzR/LTi (ITG) R/LTe ? 
 collisionality ? (TEM) W ionization stage 
(Z46, A184 ITG)
R / Ln  -R V / D
A  2 Z
In confinement region, impurity transport is 
likely to be turbulent. High-Z limit is well 
behaved  in contrast to neoclassical theory. 
 22Momentum and ion heat transport 
 23Effects of electron heating on ion heat transport
-  In very low density H-mode plasmas, one finds a 
 strong
-  confinement degradation in response to central 
 ECRH
-  
-  Related R/LTi drop due to increase of Te/Ti 
 (implies reduction
-  of ITG threshold) and reduction of vtor 
 (decrease of ?E)
A. Manini et al., NF submitted 
 24Coupling of momentum and ion heat transport
-  Strong correlation between 
-  ?Ti and ?vtor 
-  
-  Consistent with constant ratio 
-  of ?F / ?i 
-  
-  Power balance analysis (ASTRA, 
-  FAFNER, TRANSP, TORIC) yields 
-  a ratio of  1 at mid radius 
-  
-  Promising agreement with both 
-  quasilinear and nonlinear 
-  GK studies of ITG modes
A. Peeters et al., PoP 05  PPCF submitted 
 25Insights and conclusions
- Specific insights 
-  
-  The adiabatic ITG paradigm is not universal 
 (see, e.g., TEM)
-  QL models can be quite successful when used with 
 care
-  Experimental TEM studies can be related to NL 
 gyrokinetics
-  Different transport channels tend to be strongly 
 coupled
- General conclusions 
-  
-  No real predictive capability without deeper 
 understanding
-  There is room for more synergy between theory, 
 modelling, and experiment
-  
-  See posters EX / 8-5Ra  EX / 8-5Rb