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This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement No 633053. The views and opinions expressedherein do not necessarily reflect those of the European Commission.
O. Linder1, G. Papp1, E. Fable1, F. Jenko1, G. Pautasso1, the ASDEX Upgrade Teamā and the EUROfusion MST1 Teamā”
1Max-Planck-Institut fĆ¼r Plasmaphysik, Boltzmannstr. 2, 85748 Garching, Germanyā See author list of H. Meyer et al. Nucl. Fusion 59, 112014 (2019)ā” See author list of B. Labit et al. Nucl. Fusion 59, 086020 (2019)
The role of impurity transport and temperature in
MGI induced runaway dynamics
IAEA/PPPL Theory and Simulation of Disruptions Workshop, 19 ā 23 July 2021
2 / 23
Outline
1. The transport model ASTRA-STRAHL
2. ASDEX Upgrade runaway electron experiments
3. Simulating ASDEX Upgrade #33108
a. Runaway electron generation
b. The role of impurity transport
c. Impact of pre-disruption temperature
4. Conclusions
3 / 23
ASTRA-STRAHL: the coupled transport codes
1 Fable et al. Plasma Phys. Control. Fusion 55, 074007 (2013)2 Dux et al. Nucl. Fusion 39, 1509 (1999)
3 Peeters. Phys. Plasmas 7, 268 (2000)4 Linder et al. Nucl. Fusion 60, 096031 (2020)
5 Linder et al. J. Plasma Phys. 87, 905870301 (2021)
še, še, ši,geometry
šimp, šrad,
šimp, šeff
ASTRA1
plasma evolution
Core routines
equilibrium
3-moment solver
RE sources
REGIA4,5
STRAHL2
impurity evolution
neoclassical transport
NEOART3
4 / 23
ASTRA-STRAHL: background plasma evolution with ASTRA
Evolution of plasma quantities š through macroscopic transport equation1
Poloidal flux ĪØ
ā¢ Influenced by RE generation
ā¢ šp profile flattened during TQ onset
1 Fable et al. Plasma Phys. Control. Fusion 55, 074007 (2013) 2 Linder et al. Nucl. Fusion 60, 096031 (2020) 3 Linder et al. J. Plasma Phys. 87, 905870301 (2021)
1
šā²š
šš”šā²š =
1
šā²š
šššā² āš 2 š·
šš
ššā š£š +
š
šš
Temperatures še, ši
ā¢ Ohmic heating
ā¢ Impurity radiation
ā¢ Electron-to-ion heat exchange
ā¢ Rapid transport during breakup of
magnetic surfaces2,3
Electron density še
ā¢ From quasineutrality
5 / 23
ASTRA-STRAHL: impurity evolution with STRAHL
Impurity densities
ā¢ Charge state resolved
ā¢ Atomic processes: electron-impact ionization and recombination (coefficients from ADAS1)
ā¢ Neoclassical transport from NEOART2
ā¢ Neutral gas propagation at speed of sound
ā¢ Rapid transport during breakup of magnetic surfaces3,4
ā¢ Impurity radiation from line radiation, continuum radiation and ionization losses
1 Summers. The ADAS User Manual, version 2.6.2 Peeters. Phys. Plasmas 7, 268 (2000)
3 Linder et al. Nucl. Fusion 60, 096031 (2020)4 Linder et al. J. Plasma Phys. 87, 905870301 (2021)
Evolution of plasma quantities š through macroscopic transport equation
1
šā²š
šš”šā²š =
1
šā²š
šššā² āš 2 š·
šš
ššā š£š +
š
šš
6 / 23
ASTRA-STRAHL: Runaway Electron Generation In ASTRA (REGIA)
Evolution of plasma quantities š through macroscopic transport equation
Runaway electron current density
ā¢ Runaway sources šš from standalone Fortran module
(github.com/o-linder/runawayelectrongeneration)
ā¢ Separate populations of RE due to different
generation mechanisms
ā¢ Average velocity š£RE = šā¢ No RE losses
ā¢ Feed-back on ĪØ evolution
1 Linder et al. Nucl. Fusion 60, 096031 (2020) 2 Connor et al. Nucl. Fusion 15, 415 (1975)
3 Hesslow et al. J. Plasma Phys. 85, 475850601 (2019)4 Smith et al. Phys. Plasmas 15, 072502 (2008)
5 Rosenbluth et al. Nucl. Fusion 37, 1355 (1997) 6 Hesslow et al. Nucl. Fusion 59, 084004 (2019)
1
šā²š
šš”šā²š =
1
šā²š
šššā² āš 2 š·
šš
ššā š£š +
š
šš
ā¢ Dreicer generation
ā¢ Classical model by Connor & Hastie2
ā¢ CODE neural network by Hesslow et al3
ā¢ Hot-tail generation
ā¢ Model by Smith & Verwichte4
ā¢ Avalanche generation
ā¢ Classical model by Rosenbluth & Putvinski5
ā¢ High-š model by Hesslow et al6
ā¢ Nuclear generation: not implemented(Recall, application to ASDEX Upgrade)
Fortran module1
7 / 23
ASTRA-STRAHL: Description of MGI and TQ
Massive gas injection
ā¢ Outflow from gas valve described by continuity equation1
ā¢ Inward propagation with thermal velocity (for Ar):
š£th = š/š = 246 m/s
ā¢ In AUG: valve opens within 1 ms
ā¢ In ASTRA: source located 1 cm outside LCFS
ā 1 ms delay(no need to model propagation from valve to LCFS)
1 Pautasso et al. Nucl. Fusion 47, 900 (2007) 2 Linder et al. Nucl. Fusion 60, 096031 (2020) 3 Linder et al. J. Plasma Phys. 87, 905870301 (2021)
Break-up of magnetic surfaces / onset of TQ
ā¢ Cold gas front reaches š = 2 surface, triggers
š, š = (2,1) MHD modes (+ higher harmonics)
ā¢ In experiment: flattens šp profile, drop in ši, š¼p spike
ā¢ In ASTRA2,3: šp flattened when dšp
dš
1
šp> 50 at š = 2
ā¢ Additional transport: š“add š” = š“addmax exp ā
š”āš”š=2
šadd(more on the necessity later)
8 / 23
ASDEX Upgrade runaway electron experiments
MGI in AUG #33108
ā¢ Circular L-mode limiter plasma
ā¢ Low density (3 Ć 1019 mā3), high temperature (9 keV)
ā¢ Central ECRH (2.6 MW)
ā¢ Argon injection (0.73 bar Ć 100 cm3 ~ 7 šD)
Application
ā¢ Used as base case for simulations
ā¢ Similar discharges selected for comparison of simulations
with experimental trend(impact of še)
1 Pautasso et al. Nucl. Fusion 55, 033015 (2015) 2 Pautasso et al. Plasma Phys. Control. Fusion 59, 014046 (2017) 3 Pautasso et al. Nucl. Fusion 60, 086011 (2020)
1-3
9 / 23
Simulating ASDEX Upgrade #33108
Key experimental observations reproduced
ā¢ Increase of electron density ą“¤ššā¢ Decay of plasma current š¼p
ā¢ Occurrence of TQ
Simulation features
ā¢ Density increase reproduced
ā current decay reproduced
ā¢ Density increase requires additional transport
š· = 100 m2/s, š£ = ā1000 m/s,š = 1.0 ms
ā¢ Thermal energy dissipated by impurity radiation
ā¢ Ohmic heating during CQ ā prolonged radiation
ā¢ Distinct phases of disruption covered(pre-TQ, TQ, CQ)
experiment experimentsimulation
simulation
simulation
simulation
experiment
ions
neutrals
maximum
mean
10 / 23
Runaway electron generation: current evolution
Onset of Ar GI Ar reaches LCFS šĪ© contraction šĪ© contraction
Steep šĪ© gradient Onset of TQ Hot-tail seed established End of TQ & onset of CQ
During the CQ During the CQ During the CQ End of CQ
Onset of Ar GI Ar reaches LCFS šĪ© contraction šĪ© contraction
Steep šĪ© gradient Onset of TQ Hot-tail seed established End of TQ & onset of CQ
During the CQ During the CQ During the CQ End of CQ
11 / 23
Runaway electron generation: contributions
Seed generation
ā¢ Only a few kA
ā¢ Similar contributions by hot-tail &
Dreicer mechanisms
Avalanching
ā¢ Seed multiplication
ā¢ Generates 331 kA of REs
ā¢ Final RE beam avalanche dominated
ā RE seed of minor importance(varying strength & composition)
Experimental comparison
ā¢ Higher š¼RE simulated due to absence of RE losses
12 / 23
Runaway electron generation: impact of the RE seed
Comparison with only one seed mechanism used
ā¢ Reduction of š¼REseed does not affect RE multiplication
with equal weight:
hot-tail: ā37% š¼REseed ā ā23% š¼av
Dreicer: ā59% š¼REseed ā ā11% š¼av
ā¢ Decay of š¼Ī© at similar time scales, avalanche
multiplication time determines post-CQ š¼RE(feedback on š¹-evolution)
ā Exact strength of RE seed is of secondary
importance due to dominating avalanche
generation
13 / 23
Runaway electron generation: impact of partially ionized impurities
Impact of partially ionized impurities1-5
ā¢ Increased electron-ion friction ā hinders runaway
ā¢ Relevant in MGI scenarios
ā¢ Classical formulae6-7 assume full ionization
ā¢ Effects considered in state-of-the-art models4-5
ASTRA-STRAHL simulations8
ā¢ Assess importance of partial screening in self-
consistent simulations:
state-of-the-art4-5 ā classical6-7
1 Hesslow et al. Phys. Rev. Lett. 118, 255001 (2017)2 Hesslow et al. Plasma Phys. Control. Fusion 60, 074010 (2018)3 Hesslow et al. J. Plasma Phys. 84, 905840605 (2018)
4 Hesslow et al. Nucl. Fusion 59, 084004 (2019)5 Hesslow et al. J. Plasma Phys. 85, 475850601 (2019)6 Connor et al. Nucl. Fusion 15, 415 (1975)
7 Rosenbluth et al. Nucl. Fusion 37, 1355 (1997)8 Linder et al. Nucl. Fusion 60, 096031 (2020)
1-5
14 / 23
Runaway electron generation: model validation
Absence of high-š effects
ā¢ Dreicer generation overestimated(earlier onset & stronger, 84 kA)
ā¢ Avalanche multiplication reduced(slower rise of RE current during CQ)
ā¢ Decay of total current slowed down
ā less Ohmic heating, less radiation
ā¢ Final š¼RE similar, but different composition
ā¢ Hard x-ray signal: High š¼RE only at end of CQ
ā Simulations consistent with experiment only when
considering high-š effects
ā High-š interactions important for runaway!
Dreicer
NoWith
hot-tail REs neglected
high-š effects
15 / 23
The role of impurity transport: impact of transport mechanisms
Mechanisms considered
ā¢ Rapid redistribution(MHD effects due to breakup of magnetic surfaces)
ā¢ Neoclassical effects
Absence of rapid redistribution
ā¢ Impurity propagation driven by neutral gas
ā¢ Increase of electron density ą“¤šš not matched
ā Much slower TQ!
Absence of neoclassical effects
ā¢ Inward transport less effective
ā Rapid redistribution & neoclassical effects
relevant for impurity transport
NC & MHD
NCMHD
NC
MHD
NC & MHD
NC
NC
MHD NC & MHD
16 / 23
The role of impurity transport: rapid redistribution
Absence of rapid redistribution
ā¢ Impurity propagation driven by neutral gas
ā¢ Slow TQ over several ms
Considering rapid redistribution
ā¢ Central impurity density increases during CQ
ā¢ TQ on experimental sub-ms time scales
ā¢ Note, only order of magnitude values used:
š· = 100 m2/s, š£ = ā1000 m/s,š = 1.0 ms
(variation by around 50% describes experiment adequately)
17 / 23
In absence of additional transport
ā¢ Diffusion & strong outward convection almost cancel
ā¢ Propagation driven by neutrals
ā¢ Slow inward propagation of material
With additional transport
ā¢ Outward convection vanishes; diffusion present
ā¢ Neoclassical transport contributes noticeably to
inward transport(current decay too slow in absence of neoclassical effects)
inward
diffusion
strong
outward
convection
still
present vanishesWith NEOART Without NEOART
The role of impurity transport: neoclassical transport
18 / 23
Impact of pre-disruption temperature: simulation setup
Setup
ā¢ In AUG experiments, on-axis ECRH during last
0.1 ms prior to MGI
ā¢ Scale ECRH contribution of šš š in AUG #33108
ā¢ Temperature unaffected for š > 0.35
target background
19 / 23
Impact of pre-disruption temperature: the RE seed
Dreicer population
ā¢ Virtually unaffected: š¼D = 1.1 kA
ā¢ No (significant) še change in region of strongest
generation
Hot-tail population
ā¢ Grows exponentially
š¼hot: 0.6 kA ā 33.7 kA
ā¢ Strongest increase above 10 keV
ā¢ Described by exponential
ā¢ Strong increase of temperature (by design), but density not at similar rate
ā Strong increase of hot-tail runaway for hotter plasmas
20 / 23
Impact of pre-disruption temperature: avalanche & total current
Multiplication
ā¢ Avalanche (& total) RE current ā¼ 330 kA for še < 9 keV
ā¢ Between 9 keV and 17 keV, š¼av increases(additional multiplication between 2 ā 3)
ā¢ Avalanche current saturates for še > 17 keV at 356 kA
ā¢ Radial distribution of šav changes (as hot-tail becomes more important):
mid radius & š = 2 ā š ā¼ 0.12
Total current
ā¢ For še > 9 keV, grows linearly due to hot-tail contribution
ā¢ At še = 20 keV, hot-tail constitutes 9% š¼REā Relative importance of multiplication decreases due to finite
poloidal magnetic flux available(less avalanching in ITER?)
21 / 23
Impact of pre-disruption temperature: experimental comparison
For š»š < š š¤šš
ā¢ RE current ā¼ constant
(experiment & simulation)
ā¢ Simulated š¼RE larger due to absence of
RE losses
For š»š > š š¤šš
ā¢ In simulation, š°šš increasing (hot-tails)
ā¢ None in experiment at šš > šš š¤šš
ā¢ In 2021 campaign, one discharge with RE
beam close to 12 keV
ā¢ Reason: Loss of RE seed during breakup of
magnetic surfaces?
22 / 23
Further reading
More details on self-consistent ASTRA-STRAHL simulations of Ar MGI in ASDEX Upgrade #33108 are presented in the
following publications:
Linder et al. Nucl. Fusion 60, 096031 (2020)
https://doi.org/10.1088/1741-4326/ab9dcf
Linder et al. J. Plasma Phys. 87, 905870301 (2021)
https://doi.org/10.1017/S0022377821000416
23 / 23
Conclusions
1. Successful ASTRA-STRAHL simulations of RE dynamics on ASDEX Upgrade
(background plasma, MGI, RE generation)
2. High-š effects important for RE generation
3. Impurity transport due to MHD & neoclassical effects
4. Discrepancies w.r.t. experiment in high š»š scenarios suggest seed RE loss
24 / 23
References
CONNOR, J.W. and HASTIE, R.J.. Relativistic limitations on runaway electrons. Nucl.
Fusion 15, 415 (1975)
DUX, R., PEETERS, A.G., GUDE, A. et al. š dependence of the core impurity transport in
ASDEX Upgrade H mode discharges. Nucl. Fusion 39, 1509 (1999)
FABLE, E., ANGIONI, C., IVANOV, A.A. et al. Dynamical coupling between magnetic
equilibrium and transport in tokamak scenario modelling, with application to current
ramps. Plasma Phys. Control. Fusion 55, 074007 (2013)
HESSLOW, L., EMBREUS, O., STAHL, A. et al. Effect of Partially Screened Nuclei on Fast-
Electron Dynamics. Phys. Rev. Lett. 118, 255001 (2017)
HESSLOW, L., EMBREUS, O., WILKIE, G.J. et al. Effect of partially ionized impurities and
radiation on the effective critical electric field for runaway generation. Plasma Phys.
Control. Fusion 60, 074010 (2018)
HESSLOW, L., EMBREUS, O., HOPPE, M. et al. Generalized collision operator for fast
electrons interacting with partially ionized impurities. J. Plasma Phys. 84,
905840605 (2018)
HESSLOW, L., EMBREUS, O., VALLHAGEN, O. et al. Influence of massive material injection
on avalanche runaway generation during tokamak disruptions. Nucl. Fusion 59,
084004 (2019)
HESSLOW, L., UNNERFELT, L. , VALLHAGEN, O. et al. Evaluation of the Dreicer runaway
growth rate in the presence of high-š impurities using a neural network. J. Plasma
Phys. 85, 475850601 (2019)
LINDER, O., FABLE, E., JENKO, F. et al. Self-consistent modeling of runaway electron
generation in massive gas injection scenarios in ASDEX Upgrade. Nucl. Fusion 60,
096031 (2020)
LINDER, O., PAPP, G., FABLE, E. et al. Electron runaway in ASDEX Upgrade experiments
of varying core temperature. J. Plasma Phys. 87, 905870301 (2021)
PAUTASSO, G., FUCHS, C.J., GRUBER, O. et al. Plasma shut-down with fast impurity puff
on ASDEX Upgrade. Nucl. Fusion 47, 900 (2007)
PAUTASSO, G., MLYNEK, A., BERNERT, M. et al. Assimilation of impurities during massive
gas injection in ASDEX Upgrade. Nucl. Fusion 55, 033015 (2015)
PAUTASSO, G., BERNERT, M., DIBON, M. et al. Disruption mitigation by injection of small
quantities of noble gas in ASDEX Upgrade. Plasma Phys. Control. Fusion 59,
014046 (2017)
PAUTASSO, G., DIBON, M., DUNNE, M. et al. Generation and dissipation of runaway
electrons in ASDEX Upgrade experiments. Nucl. Fusion 60, 086011 (2020)
PEETERS, A.G. Reduced charge state equations that describe Pfirsch Schluter impurity
transport in tokamak plasma. Phys. Plasmas 7, 268 (1999)
ROSENBLUTH, M.N. & PUTVINSKI, S.V. Theory for avalanche of runaway electrons in
tokamaks. Nucl. Fusion 37, 1355 (1997)
SMITH, H.M. & VERWICHTE, E.. Hot tail runaway electron generation in tokamak
disruptions. Phys. Plasmas 15, 072502 (2008)
SUMMERS, H.P. The ADAS User Manual, version 2.6. https://www.adas.ac.uk.
25 / 23
Appendix: Average runaway electron velocity
Impact of assumption šš¹š¬ = š
ā¢ Valid for šøkin ā„ 3.1 MeV(ā¤ 1% deviation)
ā¢ Conditions not fulfilled during early stages
ā¢ Yet, reduction of š£š šø to below šā slight decrease of š¼RE(only assuming šøkin ā¼ še,0: strong decrease)
ā¢ Reduction of āØš£š šøā© ā” reduction of seed population!(mathematically)
ā Avalanche contribution not affected proportionally;
total current only somewhat reduced(same argument as before!)
26 / 23
Appendix: Off-axis hot-tail density peaking
Important parameters for hot-tail generation1
Simple estimate2
šhotsimple
š”fin ā še,0 exp ā4 Ēšše,fin2/3
š”dec2/3
še,0
ā¢ Pre-disruption temperature še,0
ā¢ Decay time scale š”decā¢ Post-disruption density še,fin
ā Off-axis hot-tail peaking due to on-axis density
peaking post-TQ
1 Smith et al. Phys. Plasmas 15, 072502 (2008) 2 Linder et al. J. Plasma Phys. 87, 905870301 (2021)
simple estimate