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ITPA – CDBM H-mode threshold database DB analysis May 2007 - Lausanne. Yves Martin Centre de Recherches en Physique des Plasmas Association Euratom - Confédération Suisse Ecole Polytechnique Fédérale de Lausanne (EPFL) CH - 1015 Lausanne, Switzerland. Outline. n e and B t dependences - PowerPoint PPT Presentation
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Yves MartinYves Martin
Centre de Recherches en Physique des PlasmasAssociation Euratom - Confédération Suisse
Ecole Polytechnique Fédérale de Lausanne (EPFL)CH - 1015 Lausanne, Switzerland
ITPA – CDBMITPA – CDBMH-mode threshold databaseH-mode threshold database
DB analysisDB analysis
May 2007 - LausanneMay 2007 - Lausanne
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 2
OutlineOutline
ne and Bt dependences• Variation of ne and Bt dependences with tokamak size
Density at the minimum threshold powerDiscussion on other points in my message
• Scaling Refine scaling
• Access to 'good' confinement regime Minimum threshold power for type I ELMs Minimum threshold power for good confinement regime
• Influence of power fraction to electrons• 0D modelling of discharge evolution• Enough additional power during pulse evolution• Isotope identity pulses• List of parameters / actions to reduce the threshold power
during ITER pulse evolutionPapersAction list
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 3
Variation of nVariation of nee and B and Btt dependence dependence
Work on tokamaks present in the reduced dataset (6 toks)
Analysis I• For each tokamak, calculate the BT and NEL dependence
Analysis II• For each tokamak, select BT values where BT data cluster• Check standard deviation• Calculate the density dependence on each cluster
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 4
NEL20 mean and std, BT mean and std, NEL and BT exponents from the reduced data set (consider a & R constant)
Standard deviation generally small ...
Results – density and field 'global' dependence of PLTHResults – density and field 'global' dependence of PLTH
TokNEL
[10^20m-3]
(NEL)[10^20m-3]
BT[T]
(BT)[T]
NEL depend
ence
BT depend
enceNb pts
RMS[%]
AUG 0.44 0.13 2.2 0.42 0.45 0.86 175 23
CMOD 1.97 0.45 5.8 1.02 0.4 1.04 83 22
D3D 0.39 0.06 2.0 0.18 0.7 - 56 19
JET 0.25 0.06 2.3 0.66 0.82 0.69 555 32
JFT2M 0.28 0.04 1.21 0.09 0.39 0.51 53 12
JT60U 0.25 0.08 3.2 0.43 0.53 1.15 58 18
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 5
BT mean and std within the cluster, NEL20 mean and std, NEL exponent
Results – density dependence of PLTH at fixed fieldResults – density dependence of PLTH at fixed field
TokBT[T]
(BT)[T]
NEL[10^20m-
3]
(NEL)[10^20m-
3]
Density dependence
Nb ptsRMS[%]
AUG 2.0 0.011 0.47 0.13 0.51 48 25
AUG 2.5 0.02 0.51 0.12 0.47 25 16 (?)
CMOD 5.3 0.02 1.91 0.48 0.26 57 21
CMOD 7.9 0.031 2.18 0.34 0.77 16 16
D3D 2.1 0.024 0.39 0.059 0.71 52 19
JET 1.77 0.017 0.22 0.04 0.76 81 24
JET 2.7 0.013 0.29 0.06 0.93 99 20
JET 3.45 0.011 0.29 0.06 1.79 35 33
JFT2M 1.24 0.016 0.29 0.04 0.47 40 12
JT60U 3.06 0.012 0.26 0.09 0.54 43 18
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 6
Density dependence of PLTH vs RGEODensity dependence of PLTH vs RGEO
Fit on full, per machine, reduced data setFit on BT clusters, per machine, reduced data set
Density exponent seems to increase with RGEO
• Validity? • Other reasons?
• Expand data range ? 0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
n_de
p
.5 1 1.5 2 2.5 3 3.5
R
Bivariate Fit of n_dep By R
CMOD
JFT2M
AUG
D3D
JET
JT60U
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 7
Density at minimum threshold powerDensity at minimum threshold power
Work on tokamaks present in the reduced dataset (6 toks)
Analysis I• For each tokamak, calculate 10, 25% quantiles of PLTH• Calculate mean (std) of NEL, BT for cases with PLTH below 10
and 25% quantiles
Analysis II• In JET data, do similar analysis in 4 BT clusters
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 8
JET data – Measured PLTH vs scalingJET data – Measured PLTH vs scaling
SelectedNot selected
No clear sign of a minimum
Same for other tokamaks
Need info from all devices 1
0.7
0.5
10
7
5
4
3
2PLT
H_M
W
1 .8 .6 .5 10 8 7 6 5 4 3 2
PTHRESH
Bivariate Fit of PLTH_MW By PTHRESH
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 9
Mean, std of NEL, BT for 10, 25% lowest PLTHMean, std of NEL, BT for 10, 25% lowest PLTH
Tok QPLTH[MW]
NEL[10^20m-3]
BT[T]
AUG 10 1.09 0.36 1.78
25 1.36 0.37 1.86
CMOD 10 1.20 1.61 5.34
25 1.35 1.64 5.35
D3D 10 1.28 0.30 2.08
25 1.67 0.34 2.08
JET 10 2.07 0.21 1.56
25 2.74 0.20 1.81
JFT2M 10 0.27 0.26 1.08
25 0.29 0.27 1.15
JT60U 10 3.07 0.17 2.66
25 3.47 0.20 2.92
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 10
Mean density, field at low threshold powerMean density, field at low threshold power
+ 10% 25% 100%
Low threshold power found at low density, field !
No clear relationship between field and minimum density ... but CMOD
Statistics is NOT good (clusters, ...) 0
0.5
1
1.5
2
nel2
0
1 2 3 4 5 6
bt
Bivariate Fit of nel20 By bt
CMOD
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 11
JET, BT clustersJET, BT clusters
BT[T]
QPLTH[MW]
NEL[10^20m-3]
1.76 10 2.26 0.18
1.76 25 2.66 0.19
1.99 10 1.56 0.19
2.02 25 1.66 0.20
2.60 10 3.01 0.23
2.61 25 3.93 0.24
3.45 10 2.4 0.23
3.45 25 4.62 0.24
Mean BT in the cluster (selection)
Quantiles
Value of PLTH at quantile
Mean density at low power in one BT category
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 12
Mean density, field at low threshold power in JETMean density, field at low threshold power in JET
0.16
0.18
0.2
0.22
0.24
0.26
nel_
201.5 2 2.5 3 3.5
bt
Bivariate Fit of nel_20 By bt
+ 10% 25%
Minimum density slightly increases with magnetic field!
Small effect but monotonic!
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 13
DiscussionDiscussion
Refine scaling• FR: Done several times. known influences but not quantified,
density dependence most critical. Planned expts for influence of Xpt position
Questions:• Density scaling to re refined?
require dedicated density scans known in the DB? Provide new data?
• Influence of X point position? How to quantify? Predictions for ITER?
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 14
PLTH / Pthresh for good confinementPLTH / Pthresh for good confinement
Figures provided by FR
With PLTH / Pthresh close to one, one might obtain HH~1
Influence of ELM typeHH(HSELM)
<HH(HGELM)
PLTH / Pthresh HH
PLTH / Pthresh HH
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 15
PLTH / Pthresh for good confinementPLTH / Pthresh for good confinement
What are the typical plasma parameters (n,B,P) for 'good confinement' experiments on your device ?
What are the (good confinement) regimes one can obtain with PoP close to 1 ?
I proposed to build a small DB with n, B, a, R, P,'reference'. Would you agree to provide data ?
0.5
1
1.5
2
2.5
3
3.5
4
4.5
PoP
.25 .5 .75 1 1.25 1.5 1.75
ne20
Bivariate Fit of PoP By ne20
AUG
JETITER
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 16
Other topicsOther topics
Where should we put some effort ? (& some=?)• Threshold power (LH transition) understanding ?• Issue cards ?
Choose between topics:• Refine scaling (including n, B scalings)• Power ratio for good confinement• Influence of power fraction to electrons• 0D modelling of discharge evolution• Enough additional power during pulse evolution• Isotope identity pulses
Yves Martin, ITPA TG CDBM LH Transitions, May 2007, Lausanne 17
Paper / Action listPaper / Action list
Paper at IAEA TM H-mode• Recommended scaling• Density, field dependence of PLTH• Power ratio to access good confinement• Enough additional power during pulse evolution
Actions• New data NSTX, MAST, JFT2M, CHS ? Aspect ratio effect ?• Recommended scaling (done?)• Density dependence: 'negative' result from DB and/or individual
machine contributions ?• Power ratio: data from DBs, survey of litterature and/or input
from individual ?• Pulse evolution: identify scenarios, estimate n, B, P (a,R)
evolution, calculate PoP during evolution