Title: EFTC10 Oral Presentation
1 Profile-turbulence interactions, MHD
relaxations and transport in Tokamaks
A Thyagaraja, P.J. Knight, M.R. de Baar,
G.M.D. Hogeweij and E.Min UKAEA/EURATOM
Fusion Association Culham Science Centre,
Abingdon, OX14 3DB, UK Assoc. EURATOM-FOM,
Trilateral Euregio Cluster, P.O. Box 1207, 3430
BE Nieuwegein, The Netherlands IAEA Meeting,
Trieste, Mar 2-4, 2005
2Acknowledgements
- Jack Connor, Jim Hastie, Chris Gimblett, Martin
Valovic, Ken McClements, Terry Martin, Chris
Lashmore-Davies (Culham) - Niek Lopes Cardozo (FOM)
- Xavier Garbet, Paola Mantica, Luca Garzotti
(EFDA/JET) - EPSRC (UK)/EURATOM
3Synopsis
- Role of profile-turbulence interactions and
spectral transfer processes in tokamak turbulence
and transport - The key concepts spectral cascades,
profile-turbulence interactions, nonlinear
self-organization, dynamos, zonal flows - Some typical simulation results from CUTIE and
comparisons with experiment - Conclusions
4Characteristics of tokamak plasma climatology
- Universal, electromagnetic turbulence, between
system size and ion gyro radius confinement (s)
and Alfvén (ns) times. - Strong interactions between large and small
scales inhomogeneity of turbulence. - Plasma is strongly self-organising, like
planetary atmospheres (Rossby wavesDrift waves). - Transport barriers connected with sheared flows,
rational qs, inverse cascades/modulational
instabilities (Hasegawa). - Analogous to El Nino, circumpolar vortex, shear
sheltering (J.C.R Hunt et al)
5Profile-turbulence interactions
- All plasma instability, linear or nonlinear,
caused by thermal disequilibrium in a
driven-dissipative system - Profile-turbulence cross-talk turbulence
corrugates profiles latter saturate turbulence.
Both electrostatic and magnetic components
interact strongly and play a role - Macroscale phenomena (pellets, sawteeth, ELMs,
ITBs,..) influence and are influenced by
mesoscale turbulence (possibly also micro scale)
nonlinear self-organization - Momentum/angular momentum exchanges between
turbulence and mean profiles result in dynamo
currents (electrons) and zonal flows (ions). - No real scale separation-a continuum of scales
in time and space
6Spectral Transfer Mechanisms
Nonlinearity phase mixing by flows Alfven waves
Direct cascade
ExBjxB
Zonal flows
Random phases
Streamers
Turbulent diffusion
Dynamo currents
Mesoscale
Microscale
Macroscale
Inverse cascade
Modulational Instabilities beating
7Arithmetizing two-fluid plasma turbulenceCUTIE
- Global, electromagnetic, two-fluid
code.Co-evolves turbulence and equilibrium-self-c
onsistent transport. - Minimalist plasma climatology Conservation
Laws and Maxwells equations for 7-fields, 3-d,
pseudo spectralradial finite-differencing,
semi-implicit predictor-corrector, fully
nonlinear. - Periodic cylinder model, but field-line curvature
treated describes mesoscale, fluid-like
instabilities no kinetics or trapped particles
(but includes neoclassics). - Very simple sources/boundary conditions (overly
simple perhaps?!)
8Off-axis ECH in RTP Phys Rev Letts.- de Baar et
al, 94, 035002, (2005)
- Ip80 kA, Bf2.24 T, qa5.0, Hydrogen plasma
- neav 3.0 E19 m-3 PECH350 kW, P? 80 kW
- PECH deposited at r/a 0.55
- Resolution 100x32x16 dt25 ns simulated for
gt50 ms
9Initial and Averaged ProfilesTe,Ti,ne,q
(Squares-experiment solid line-CUTIE)
10Power density and Electron advective Heat flux
Profiles
11Time-averaged Zonal Flow (-cEr/B) and Current
density components
12 Zonal Flows
- Poloidal E x B flows, turbulent Reynolds
stresses Benjamin-Feir type of modulational
instability, inverse cascade recently explained
in Generalized Charney Hasegawa Mima Equation - McCarthy et al. PRL, 93, 065004, 2004
- Highly sheared transverse flows phase mix and
lead to a direct cascade in the turbulent
fluctuations. - Enhances diffusive damping and stabilizes
turbulence linearly and nonlinearly. Confines
turbulence to low shear zones.
13Zonal Flow Evolution
14Current/q Profile Evolution
15Barriers and q
- CUTIE naturally tends to produce barriers near
the simple rationals in q.(only global codes can
do this!) - Mechanism heating gt modegt asymmetric turbulent
fluxesgt zonal flow and dynamo effectsgt reduce
high-k turbulence and flatten qgtlocal reduction
of advection - gthigher pressure gradientsgtrelaxation oscillation
- Two barrier loops operate in CUTIE! The loops
interact in synergy.
16Outbound heat flow and "ears"
- Off-axis ECH-power enhances the MHD level near
the deposition radius. - The interplay of the EM-and ES-component of these
fluctuations gives rise to an outward heat-flow. - This is sufficient for supporting pronounced
off-axis Te maxima in CUTIE, comparable with
expt. - The ears are quite comparable to the experimental
observations.
17Barriers and q
Off-axis Sawteeth simulated by CUTIE Te, q at
r/a0, 0.55
18Ear choppers CUTIE vs. Expt.
CUTIE
RTP
19Sawtooth details and Magnetic and Electrostatic
turbulence evolution in CUTIE
20Off-axis sawteeth comparison with RTP
- CUTIE produces MHD events (as in experiment)
associated with profile-turbulence interactions,
zonal "jets", "elbows" in the q profile
relaxations called ear choppers. - CUTIE Period (3 ms), RTP (1.5-2
ms) - CUTIE Amplitude (150-200 eV) RTP (100 eV)
- CUTIE Crash time (0.3 ms) RTP (0.2-0.5
ms) - CUTIE Conf. time (3-4 ms) RTP (3 ms)
- Avalanching and bursts intermittency outside
heating radius. - Qualitative agreement with experiment.
21No dynamo, no sawteeth!
With dynamo
No dynamo
Volume averaged magnetic turbulence measure and
loop voltage No "precursors" but "postcursors" in
magnetic turbulence
22High resolution study of Ohmic sawteeth ELMs
?!
- Ip90 kA, Bf2.24 T, qa5.0, Hydrogen plasma
- neav 3.0 E19 m-3 P? 90 kW Zeff 2-4 Edge
source - Resolution 100x64x16 dt25 ns simulated for
gt25 ms - Movies of profiles ne, Te, V(zonal) -cEr/B,
j(dynamo), j(bs) - Contours Te, radial ExB, A-parallel fluctuations
23Ohmic m1 sawteeth edge instability V-loop,
Beta
Te(0)800 eV (CUTIE) close to RTP760 eV
monotonic ne(0) 4.0 E19 (CUTIE) RTP 5.0 E19
24 Ohmic RTP caseaveraged Te,Ti,ne,q
(Squares-experiment solid line-CUTIE)
25Movie!
26Question What does this model predict?
- Do CUTIE results bear a qualitative resemblance
to experiments (RTP, MAST, JET, FTU,..)?
(Conditional yes!) - Is there any quantitative agreement? (in some
cases and fields) - What have we learned from CUTIE simulations?
(profile-turbulence interaction crucial) - What are the limitations of minimalism and how
can one proceed further? (many effects omitted
do they matter? Occams Razor!) - What are the lessons (if any) for the future? (go
from large to small scale)
27Conclusions-I
- Minimalist CUTIE model applied to RTP, JET,
MAST, FTU, - TEXTOR, T-10
- First "turbulence code" to describe on and
off-axis sawteeth" - dynamically in experimental conditions
-
- Describes self-organization caused by
profile-turbulence - interactions
-
- Insight into spectral transfer spontaneously
generated - zonal flows and dynamo currents in tokamaks
28Conclusions-II
- Illuminates role of turbulence in shaping
large-scale behaviour demonstrates features of
experiment - 1) key role of rational q surfaces and
electromagnetic modes - 2) off-axis maxima and outward heat advection
(ears) -
- 3) role played by corrugated zonal flows,
MHD relaxation -
- 4) deep and shallow pellet behaviour in
JET(with ITB's) - Complementary to gyrokinetics better suited to
long-term evolutionary studies (plasma
climatology) and global, electromagnetic, meso
plasma dynamics.
29Discussion
- CUTIE's "minimalist" model used globally,
provides synoptic description of a range of
dynamic phenomena involving turbulence and
transport MECH, pellets, MHD relaxation, ITBs - Limitations/ short-comings
- Geometry
- Trapped particle physics, kinetic effects
- Atomic physics effects, radiation, impurities
- Proper source terms
- Real time" (ie fast!) calculations and effective
predictions to guide experiments, diagnostics and
design. - Higher resolution in space (with correct
physics!) - Worries about missing "microscale physics. (Is
the Earths climate influenced by air turbulence
on a 10x10x10 m grid?)
30Spectral transfer mechanisms
- Electromagnetic turbulence due to
linear/nonlinear instability spontaneous
symmetry breaking-results in spectral cascades
(both direct and inverse). - Sheared flows and Alfven waves cascade
(particularly enstrophy) to high radial k. Landau
damping/phase-mixing kills fine-scale
structures (if they exist, where are they?) - Two high-k linearly growing modes can beat to
populate the low-k and can also decay strongly by
modulational instability a fundamental inverse
spectral cascade (Hasegawa, Lashmore-Davies et
al, Benjamin-Feir) - Powerful means to self-generate equilibrium
flows currents and populate low-k spectrum
forming condensates
31Generic Transport Equation Flux
32Equations of Motion (in brief!)
33Equations of Motion (2)
34Two barrier loops in CUTIE
Asymmetric fluxes near mode rational surface
Driving terms of turbulence
Pressure gradient
Turbulent dynamo, currents
Zonal flows modify turbulence-back reacts
q, dq/dr, j, dj/dr
35The Advection-Diffusion Equation
Sheared velocity in combination with diffusion
changes spectrum
Reynolds number measures shear/diffusion
Damping rate is proportional to
Spectrum discrete, direct cascade due to phase
mixing
Jets in velocity lead to ghetto-isation/confine
ment to low shear regions
36Zonal Flow (-cEr/B) Evolution corrugations
37Total current density and dynamo current density
evolution
Current is expelled from core and strong profile
flattening Corrugated dynamo current (both
signs!) localization
38RTP tokamak well-diagnosed, revealing subtle
features of transport, excellent testing ground
Step-like changes in Te(0) plateaux whenever
deposition radius crosses rational surfaces!
Te(0)
Hollow Te
39RTP Experimental Te profiles for different ECH
deposition radii
40Zonal flow (-cEr/B) and bootstrap current density
Negative values of zonal flow indicate ion
diamagnetic flow values note corrugations in
both fields (j-bs is typically positive)
41Equations solved reduced forms
Continuity
Energy
Parallel momentum
Potential vorticity
Quasi-neutrality
OhmFaraday