Hybrid MHD-Gyrokinetic Simulations of Global Alfvn Modes in Fusion - - PowerPoint PPT Presentation

hybrid mhd gyrokinetic simulations of global alfv n modes
SMART_READER_LITE
LIVE PREVIEW

Hybrid MHD-Gyrokinetic Simulations of Global Alfvn Modes in Fusion - - PowerPoint PPT Presentation

Hybrid MHD-Gyrokinetic Simulations of Global Alfvn Modes in Fusion Plasmas HYMHDGK: Marconi-fusion 1 st cycle project (Oct. 2016-Dec. 2017) NLED: WP-ENR EUROfusion project (2014-2017) G. Vlad 1 (PI), S. Briguglio 1 , G. Fogaccia 1 , V. Fusco 1 ,


slide-1
SLIDE 1

Hybrid MHD-Gyrokinetic Simulations of Global Alfvén Modes in Fusion Plasmas

HYMHDGK: Marconi-fusion 1st cycle project (Oct. 2016-Dec. 2017) NLED: WP-ENR EUROfusion project (2014-2017)

  • G. Vlad1 (PI), S. Briguglio1, G. Fogaccia1, V. Fusco1, C. Di Troia1, E. Giovannozzi1, X. Wang2, F. Zonca1,3

1ENEA, Dipartimento FSN, C. R. Frascati, Via E. Fermi 45, 00044 Frascati (Roma), Italy 2Max-Planck-Institut für Plasmaphysik, Boltzmannstr. 2, 85748 Garching, Germany 3Institute for Fusion Theory and Simulation and Department of Physics, Zhejiang University, Hangzhou 310027, People’s Republic of China

1

  • G. Vlad - EUROfusion Science meeting - 16 May 2018
slide-2
SLIDE 2
  • Introduction and Motivation
  • Numerical Model
  • Numerical Simulations
  • Single-n Simulations
  • Multiple-n Simulations
  • Role of MHD and Energetic Particle Non-linearities
  • Conclusions

2

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Outline of the presentation

slide-3
SLIDE 3
  • The study of the effects of energetic particles (EPs), characterized by supra-

thermal velocity, on magnetically confined plasmas approaching ignited conditions is a very relevant field of investigation in the magnetic confinement plasma community since several tens of years.

  • The main concern is that the mutual interaction of globally extended Alfvén

modes and EPs (as, e.g., the fusion generated alpha particles and/or the energetic ions accelerated by auxiliary heating systems) could drive shear Alfvén modes unstable and, eventually, enhance the radial transport of the EPs themselves.

  • This can results, in turn, in increased difficulties in approaching and/or

maintaining the ignited conditions (the EPs being displaced from the inner, hot core of the plasma discharge toward the edge, colder region before slowing down and heating the bulk species), or even damaging the vacuum vessel, if the EPs escape the plasma and hit the reaction chamber.

  • Single-n dynamics quite extensively studied in the past; Multiple-n effects on

radial transport only recently addressed (n: toroidal mode number).

3

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Introduction and Motivation

slide-4
SLIDE 4

Key ingredients of our model are:

  • Shear Alfvén waves (to be studied in toroidal geometry => magnetically

confined fusion in tokamak devices);

  • Effect of Energetic Particles (EPs) on Alfvénic modes;
  • The mutual interaction of globally extended Alfvén modes and EPs;
  • Their effect on the energetic particle radial density profile (radial transport).

Hybrid MHD-Gyrokinetic model:

  • Magnetohydrodynamics is used to describe the bulk plasma and Alfvén

waves (Alfvén continua, various Alfvén modes, e.g., TAEs, RSAEs, …);

  • Gyrokinetics is used to describe the dynamics of the EPs, in order to keep the

detail of the resonant interaction between EPs and MHD waves;

  • The two plasma components (thermal and EPs) being coupled (W. Park et

al., Phys. Fluids 1992) via the divergence of the pressure tensor term of the EPs entering in the extended momentum equation of the bulk plasma.

4

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Numerical Model

slide-5
SLIDE 5
  • Thermal (core) plasma:
  • described by reduced O(ε0

3) visco-resistive MHD equations in the limit of β=0

(ε0 ≡ a/R0) ➡ equilibria with shifted circular magnetic surfaces can be investigated

  • MHD fields: ψ, φ (poloidal magnetic flux function and electrostatic potential)
  • Energetic Particle population:
  • described by the non-linear gyrokinetic Vlasov equation, expanded up to order O(ε)

and O(εB), with ε~ρH /Ln the gyrokinetic ordering parameter and εB~ρH /LB<ε, in the k⊥ρH <<1 limit (guiding-center approximation);

  • coupling term between MHD and GK is the

energetic particle pressure: Π⊥, Π||;

  • fully retaining magnetic drift orbit widths;
  • solved by particle-in-cell (PIC) techniques.

k⊥: perpendicular component of the wave vector; ρH: energetic ion Larmor radius; Ln, LB: the equilibrium density and magnetic field scale lengths.

HMGC code

  • Toroidal coordinates system (r, θ, φ)

5

  • G. Vlad - EUROfusion Science meeting - 16 May 2018
slide-6
SLIDE 6

6

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Numerical Simulations

Equilibrium:

  • ε0≡a/R0=0.1; TH/TH0=1, ρH0/a=0.01, vH0/vA0=1, mH/mi=2; nH0/ni0=1.75×10-3
  • q(r)=q0+(qa-q0)(r/a)2 with q0=1.1 and qa=1.9
  • ni∝1/q2 => toroidal Alfvén gaps for different n aligned
  • EP equilibrium distribution function FH;eq is isotropic Maxwellian
  • nH=nH0 exp(-19.53 (1-ψ/ψ0)2)

1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1

q(r/a) nH/nH0(s) r/a, s ni/ni0(r/a)

With s defined as: ψeq the equilibrium magnetic poloidal flux function, and ψ0 and ψedge its values, at the magnetic axis and at the edge, respectively.

coordinate / ψ ψ ψ ψ = | − | | − | s

eq edge

poloidal fmux function, and and

Fourier space for perturbed quantities: (m,n) and (-m,-n)

modes included in the simulations; 1≤n≤15, n q0≲m≲n qa;

Grid and particle per cell for GK: Nppc=8, Nr,GK=256, Nθ,GK=160, Nφ,GK=80, Np=NppcNr,GKNθ,GKNφ,GK≈26.2×106

5 10 15 5 10 15 20 25 30

n m n=m/1.1 n=m/1.9

n m

slide-7
SLIDE 7

7

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Single-n simulations-1

Single-n simulations on A1-A3 partitions of Marconi-fusion:

  • 0.02

0.02 0.04 0.06 2 4 6 8 10 12 14 16

n γ/ω

A0

γ∝ω*H=k・v*H∝nq (ω*H is the diamagnetic frequency

  • f the “hot” particles; modes tap

energy from EP spatial gradients) γ decreased by FOW effects (eigenfunction spatial width smaller than EP drifts)

γ/ωA0 n

10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 W

tot,n

A0

n=1 n=3 n=2 n=4 n=5 n=6 n=7 n=8 n=9 n=10 n=11 n=13 n=12 n=14 n=15

tωA0 Wtot,n

0.2 0.4 0.6 2 4 6 8 10 12 14 16

n ω/ω

A0

ω/ωA0 n ω/ωA0 ω/ωA0 r/a r/a

Saturation occurs because of axisymmetric modification of EP distribution (in configuration and/or velocity space)

slide-8
SLIDE 8

8

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Single-n simulations-2

Frequency vs. r spectra (tωA0=120):

n=1 n=3 n=2 n=4 n=5 n=6 n=8 n=7 n=9 n=10 n=11 n=13 n=12 n=14 n=15

ω/ωA0 r/a

10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 tω A0
slide-9
SLIDE 9

Frequency vs. r spectra (tωA0=360):

9

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Single-n simulations-3

n=1 n=3 n=2 n=4 n=5 n=6 n=8 n=7 n=9 n=10 n=11 n=13 n=12 n=14 n=15

ω/ωA0 r/a

10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 tω A0
slide-10
SLIDE 10

10

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Single-n simulations-4

Spectrograms (ω vs. t): frequency chirping up and down after saturation

n=1 n=3 n=2 n=4 n=5 n=6 n=8 n=7 n=9 n=10 n=11 n=13 n=12 n=14 n=15

ω/ωA0 tωA0

10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 tω A0
slide-11
SLIDE 11

γ/ωA0 n

11

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

HPC is important…

  • 0.02

0.02 0.04 0.06 2 4 6 8 10 12 14 16

n γ/ω

A0

γ/ωA0 n n spectrum extended

Typical Non-linear simulation on Marconi-fusion A1 partition:

  • Ntoroidal Fourier components=10;
  • Mpoloidal Fourier components=76;
  • tωA0=355.2, ΔtωA0=0.02 =>

Nsteps, MHD=17760, Nsteps, GK=5920 (+sub-cycling when required)

  • 120 nodes, 36 cores/node: 4320 cores; elapsed time ≈ 24h

Typical Non-linear simulation on Marconi-fusion A3 partition:

  • Ntoroidal Fourier components=15;
  • Mpoloidal Fourier components=142;
  • tωA0=393.6, ΔtωA0=0.02 =>

Nsteps, MHD=19680, Nsteps, GK=6560 (+sub-cycling when required)

  • 120 nodes, 48 cores/node: 5760 cores; elapsed time ≈ 24h
slide-12
SLIDE 12

12

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Multiple-n simulations-1

10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 W

tot,n

t!

A0

n=1 n=4 n=2 n=2 n=3 n=3 n=5 n=9 n=10 n=13 n=14 n=15 1 10-5 2 10-5 100 200 300 400 500 600 n=4 n=2 n=3 n=5 W

tot,n

t!

A0

1 10-5 2 10-5 100 200 300 400 500 600 W

tot,n

t!

A0

n=4 n=5 n=6 n=7 10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 W

tot,n

t!

A0

n=1 n=3 n=2 n=4 n=5 n=6 n=7 n=8 n=9 n=10 n=11 n=13 n=12 n=14 n=15

tωA0 Wtot,n tωA0 Wtot,n tωA0 Wtot,n tωA0 Wtot,n Multiple-n simulation

  • n=1,…,15
  • Both fluid (mode-mode) and EP non-

linearities included

  • n=0 not evolved (eventual formation
  • f zonal structure not considered)
  • Non-linear coupling drives all the

modes unstable and makes them saturate almost simultaneously

  • No evidence of “domino effect”
  • Saturation amplitude of MHD fields

is smaller than single-n simulations Single-n simulations

slide-13
SLIDE 13

13

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Multiple-n simulations-2

Frequency vs. r spectra (tωA0=150):

n=1 n=3 n=2 n=4 n=5 n=6 n=8 n=7 n=9 n=10 n=11 n=13 n=12 n=14 n=15

ω/ωA0 r/a

slide-14
SLIDE 14

14

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Multiple-n simulations-3

Comparison between multiple-n and single-n simulations, radial transport of EPs at saturation:

  • 0.2
  • 0.15
  • 0.1
  • 0.05

0.05 0.1 0.15 0.2 0.4 0.6 0.8 1

!nH/nH0 t"A0=390 (multiple-n) t"A0=390 (single-n, n=4) r/a

0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1

nH/nH0 r/a t!A0=0 t!A0=390 (multiple-n) t!A0=390 (single-n, n=4)

nH/nH0 r/a ΔnH/nH0 r/a Radial transport

  • The EP radial density profile after saturation

for the multiple-n simulation is broaden when compared with the most unstable, single-n case (n=4) Eθ(r,θ) Poloidal component of Eθ

  • Multiple-n simulation saturates at larger

values

  • Multiple-n eigenfunctions and frequency

spectrum at saturation are broader than in single-n simulations (n=4)

slide-15
SLIDE 15

15

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Multiple-n simulations-4

Both MHD non-linearities and mode coupling through EP non-linearities are important

10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 sum_n1_single_n_03_cresco4_tot t

single_n (EP drive) multiple_n (only EP drive) multiple_n (EP drive + fluid NL)

n=1 10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 sum_n2_single_n_03_cresco4_tot t

single_n (EP drive) multiple_n (only EP drive) multiple_n (EP drive + fluid NL)n=2

10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 sum_n3_single_n_03_cresco4_tot t

single_n (EP drive) multiple_n (only EP drive) multiple_n (EP drive + fluid NL)

n=3 10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 sum_n4_single_n_03_cresco4_tot t

single_n (EP drive) multiple_n (only EP drive) multiple_n (EP drive + fluid NL)

n=4 10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 sum_n5_single_n_03_marconi_tot t

single_n (EP drive) multiple_n (only EP drive) multiple_n (EP drive + fluid NL)

n=5 10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 sum_n6_single_n_03_cresco4_tot t

single_n (EP drive) multiple_n (only EP drive) multiple_n (EP drive + fluid NL)

n=6 10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 sum_n7_single_n_03_cresco4_tot t

single_n (EP drive) multiple_n (only EP drive) multiple_n (EP drive + fluid NL)

n=7 10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 sum_n8_single_n_03_cresco4_tot t

single_n (EP drive) multiple_n (only EP drive) multiple_n (EP drive + fluid NL)

n=8 10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 sum_n9_single_n_03_marconi_tot t

single_n (EP drive) multiple_n (only EP drive) multiple_n (EP drive + fluid NL)

n=9 10-16 10-14 10-12 10-10 10-8 10-6 100 200 300 400 500 600 sum_n10_single_n_02_cresco4_tot t

single_n (EP drive) multiple_n (only EP drive) multiple_n (EP drive + fluid NL)

n=10

  • In the multiple-n simulation, EP drive only (blue curves) already gives NL coupling (see, e.g., the

n=1 case, which, for the single-n simulation, i.e. with only EP drive as obtained by fluctuating fields with only n=1 components, is stable);

  • in the multiple-n simulation with EP drive plus fluid non-linearities (red curves), fluid non-

linearities anticipate a bit in time, without changing appreciably the growth-rate, the growing for the sub-dominant modes (not for the dominant one, n=4; the other stronger one, n=10, is almost unchanged during its linear phase, but it is non-linearly driven at higher overshooting after the first roll over), thus typically making the individual n components to overshoot more compared with the multiple-n simulation with only EP non-linearities.

slide-16
SLIDE 16

Acknowledgements.

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 under grant agreement No 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission. Part of the computing resources and the related technical support used for this work have been provided by the EUROfusion High Performance Computer (Marconi-Fusion) and part by the CRESCO/ENEAGRID High Performance Computing infrastructure and its staff.

Conclusions.

16

  • Comparison between single-n and multiple-n simulations of Alfvénic modes has been performed,

using the HMGC code; multiple-n simulations with the toroidal mode numbers 1≤n≤15 have been considered.

  • In single-n simulations, the equilibrium considered (circular cross section, low inverse aspect

ratio, ε0=0.1), in presence of a Maxwellian EP population, result as either stable (n=1), weakly unstable (n=2, 3, 13, 14, 15) or unstable (4≤n≤12); a variety of modes are observed (TAEs, upper and lower KTAEs, EPMs). Weak or negligible EPs radial transport is observed at saturation, for all the toroidal mode numbers considered.

  • In multiple-n simulation, NL mode-mode coupling from MHD terms and mediated by EP term

(three wave coupling), strongly drives sub-dominant modes already during the linear growth phase of the dominant modes; radial profiles of e.m. fields (ψ, φ) and real frequencies are substantially different from linearly unstable, single-n modes; all the toroidal modes saturate almost simultaneously, inducing enhanced EP transport (w.r.t. the single-n simulations). No evidence of the so-called “domino effect” is observed.

  • G. Vlad - EUROfusion Science meeting - 16 May 2018
slide-17
SLIDE 17

17

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Publications, presentations

Marconi-fusion 1st cycle project HYMHDGK: 179000 node hours (153000 on A1 + 26000 on A2), starting from 17th October 2016 and ending on 31st December 2017. Publications and presentations:

  • G. Vlad et al. 2017: Paper presented at the 2017 IAEA Technical Meeting on

“Energetic Particles in Magnetic Confinement Systems”, 5-8 September 2017, Princeton, NJ, USA (https://nucleus.iaea.org/sites/fusionportal/Pages/ Energetic%20Particles%2017/Genera l-Info.aspx)

  • G. Vlad et al. 2018: Nucl. Fusion, accepted manuscript (https://doi.org/

10.1088/1741-4326/aaaed1)

  • G. Vlad et al. 2018: 27th IAEA Fusion Energy Conference (FEC 2018), submitted.
slide-18
SLIDE 18

18

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

Acknowledgments

Thank-you to the Marconi-fusion and CINECA team for assistance and help in troubleshooting (ticketing system)

slide-19
SLIDE 19

Multiple-n simulation

Toroidal mode numbers 1≤n≤15

  • Standard picture:
  • 1. strongest modes saturate first, because of non-linear (NL) energetic particle

(EP) terms(e.g., flattening of EP radial density profile, at least for the resonant EP fraction);

  • 2. sub-dominant modes can, on turn, be driven unstable (or more unstable)

because of the modifications to the EP distribution induced by the saturation of the dominant modes

  • Novel observations from these set of simulations:
  • 1. NL mode-mode coupling from MHD terms, or mediated by EP term, strongly

drives sub-dominant modes already during the linear growth phase of the dominant modes;

  • 2. sub-dominant modes driven non-linearly have field (ψ, φ) radial profiles and

real frequencies substantially different from linearly unstable, single-n modes;

  • 3. all the toroidal modes saturate almost simultaneously, inducing an enhanced EP

transport (enhanced w.r.t. the single-n simulations);

  • 4. On a longer time scale, after saturation of the faster modes, other subdominant

modes can, in turn, be driven unstable (or more unstable) because of the modifications to the EP distribution (as #2 above, not investigated here…)

19

  • G. Vlad - EUROfusion Science meeting - 16 May 2018
slide-20
SLIDE 20

Mode coupling through the EP term (1).

Hybrid reduced O(ε0

3) MHD equations (HMGC) (Briguglio et al., Phys. Plasmas 2, 3711 (1995);

Wang et al., Phys. Plasmas 18, 052504 (2011)).

equilibrium-distribution-function terms in the same equation. Linear evolution of the system is exactly obtained by linear- izing the source terms and retaining only the unperturbed phase-space orbits, instead of looking at the low-amplitude stage of the nonlinear evolution, like for standard particle

  • codes. The code has been validated by comparing numerical

results with the analytical prediction for the linear stability of toroidal Alfvin

  • modes. This has been done for the case

k1 pH4 1 (pN = ,eLH , pdH , pBH), for which original analytical results are derived and presented for the first time, showing that finite k,pH terms play an analogous role to core-plasma ion finite-Larmor-radius terms, as expected. In the general case, we demonstrate that, for typical equilibrium parameters, a nonperturbative regime occurs, with stable (or weakly unstable) TAE and unstable upper

  • KTAE. The dependence of the KTAE growth rate on the

ratio between the typical hot-particle velocity and the Alfven velocity is also considered. At a fixed value of PH, defined as &= 8 mHTHlB2, with nH and TH the hot-particle den- sity and temperature, respectively, the growth rate is maxi- mum at values uH-uA, which is consistent with the reso- nant character of the energetic particle drive. There is a very good qualitative and quantitative agreement between these results and the findings of the analytical treatment. ’ The paper is organized as follows. In Sec. II the govern- ing set of MHD and gyrokinetic equations is presented. In

  • Sec. III the essential features of the hybrid code are de-

scribed and it is shown that theoretical predictions for the energetic-particle response in the perturbative limit are well

  • reproduced. Section IV is devoted to the nonperturbative

problem; linear-simulation results are discussed and com- pared with the analytical solution. Conclusions are reported in Sec. V.

  • II. BASIC EQUATIONS

We begin the derivation of the fluid model equations starting from the resistive MHD equations, in which a driv- ing term related to an energetic-particle population is in- cluded:

p &7P-v.l-r~++5,

dB x=-cVxE, E= vJ- ;vxB, (5) J= &VxB, (6) V.B=O.

  • Phys. Plasmas, Vol. 2, No. 10, October 1995

(7) In the above equations, v is the fluid velocity, J the plasma current, E the electric field, p and P are, respectively, the mass density and the scalar pressure of the bulk plasma, & is the stress tensor of the hot particles, y the ratio of the specific heats, c the speed of light, and dIdPa/& +v-V. Since tokamak plasmas are characterized by values of the safety factor 4 ( r) = 0( 1) and inverse aspect ratio E much lower than unity, the MHD equations can be simplified by expanding in powers of E. This procedure has been widely used, since the first paper of Strauss,*” both for analytical and for numerical work. At the leading order in E, 0( E*), and considering the low-p approximation, p- 0 ( e2), the reduced-MHD equations describe the plasma in the cylindri- cal approximation. The toroidal corrections enter the equa- tions at the next order in the inverse aspect ratio. These equa- tions, without the term representing the coupling to the energetic particle population, have already been used,30 and their derivation is only briefly reported here. Following the low-p tokamak ordering, it is possible to write VI BL 6.v

  • $zs-~--

VA B, VL

  • o(ej,

!k, v-v, VW,)

  • aj-

vA V‘4 la BP

  • O(2),

& FQ $)

,.

where beBIB is the unit vector of the equilibrium magnetic

  • field. A cylindrical-coordinate

system (R&q) has been used, and the subscript 1 denotes components perpendicular to cp. The magnetic field can be written as. where @ is the poloidal-magnetic-field stream function, T,=RoBo j B. .is the vacuum magnetic field at R=R,, and I= 0( ~~1~) is given, at the leading order, by equilibrium

  • corrections. Substituting Eq. (8) and Ohm’s law, Eq. (5), in

Faraday’s law, Eq. (3), we obtain where U is proportional to the scalar potential. Taking the cross product by Vq, Eq. (9) can be solved with respect to v, : v,=(R21Ro]VUxV~+O(~3vA). (10) Equation (10) states that, at the lowest order, the perpendicu- lar velocity is given by the EXB drift. Then, taking the cp component of Eq. (9). the following equation for the evolu- tion of the magnetic stream function is obtained:

+ O(E~VAB~>,

with the Grad-Shafranov operator A* defined by a I a a= A*=RZRZ+dZ2.

Briguglio et al.

(11)

3713 Upon applying the operator Vp.VXR2* * * to the mo- mentum equation, Eq. (2), the following equation for the evolution of the scalar potential is obtained: = -&B.VA*~+ ~v.[~~~v~+v~rr~~xVpl (12) where R2 D

6=7 P* K= &

RO

a+vyv,

Note that, in both Eq. (11) and Eq. (12), vP and f enter only at the fourth order in E. In Eq. (12) the dependence on the density gradient has been retained explicitly. With the par- ticular choice of the mass density pR* = 6Ri= cons& and us- ing the definition of v, given in Eq. (lo), the continuity equation, Eq. (I), is satisfied up to the third order. In the following, we will consider the pressure of the bulk plasma to be zero and the normalized mass density I; to be constant in space and time. Thus, only Eqs. (11) and (12) need to be

  • evolved. As a boundary condition we take a rigid conducting

wail at the plasma edge. In order to close the set of reduced MHD equations (11) and (12), the hot-particle stress-tensor components can be evaluated by directly calculating the ap- propriate velocity momentum of the distribution function for the particle population moving in the perturbed fields + and u. In the view of numerical particle pushing, and in order to avoid too severe limitations

  • n the time-step size, it is

worth3’532 following particle evolution in the gyrocenter- coordinate system g=( R,ti,p,&), where k is the gyro- center position, fi is the exactly conserved magnetic mo- mentum, j5 corresponds to the canonical parallel momentum, and 8 is the gyrophase. This corresponds to averaging the single-particle equations of motion over the fast Larmor pre- cession and allows one to retain the relevant finite Larmor radius effects without resolving the details of the gyromo- tion. The equations of motion in the gyrocenter coordinates can be derived by a straightforward extension of previous treatments.33-35 They take the form di! x=0, (13) di dt= m,L,

  • -!-

ii+$iixVlnB (

  • H
  • -lb-

~)Vq]- g6.V In B. Here, 6?H, mH and fiH=eHB/mHc are, respectively, the energetic-particle charge, mass and Larmor frequency. Note that Eqs. (13) do not contain any dependence on the gy- rophase &. The fluctuating potentials (p and all are related to the stream functions U and $ by the relationships (14) (15) Note that j has been used, instead of the gyrocenter parallel velocity U=~-qlmH, in order to avoid the appearance of the time derivatives of the fluctuating vector potential in Eqs. (13). In terms of the gyrocenter coordinates, the hot-particle stress tensor can be written as i-I,(t,x) = -$

2

F,(t,ii,lii,j+ij(x-ii),

(161 where I is the identity tensor, Iij” Sij, FH(t,ii,ti,i) is the hot-particIe distribution function, and d62 includes the Jaco- bian of the transformation from canonical to gyrocenter co-

  • rdinates.

The distribution function F, satisfies the Vlasov equa- tion 07) with dkdt and d@dt given by Eqs. (13). It is convenient to define the perturbed distribution func- tion #H by the reIationship FH(t,fi,n;l,E7)=FHO(t,li,M,p)+S~,(t,fi,n;f,ls), (18) where RHO is an appropriate “‘Iowest-order” distribution

  • function. Taking F,,

to be Maxwellian,

n&t? + $mH[i- (u$mH)]’

TH

, 09) where PZH( R) and TH are, respectively, the energetic-particle equilibrium density and (uniform) temperature, from Eqs. (13) and ( 17) the following equation for SF, is obtained: dp d&+,

  • -=S(t,jii,i@,p),

dt a@ (20)

3714

  • Phys. Plasmas, Vol. 2, No. 10, October

1995

with

Briguglio et al.

Psðt; xÞ ¼ 1 m2

s

ð d ZDZc!

Z

Fsðt; R; M; VÞ Xs M ms I þ bb

  • V2 Xs

M ms

  • dðx

R Þ;

dR dt ¼ Vb þ es msXs b r/

  • V

msXs b rak þ

  • M

ms þ

  • V

Xs

  • V þ ak

ms

  • b r ln B;

d M dt ¼ 0; d V dt ¼ 1 ms b es Xs

  • V þ ak

ms

  • r/ þ
  • M

ms rak

  • r ln B

þ es msXs rak r/

  • Xs

M ms b r ln B: (15)

a||=(es/c)(R0/R)ψ; U=-cϕ/B0; ψ is the magnetic stream function; ϕ is the e.s. potential; “s” stay for EP species, thermal ions, … Zi=(R,M,V) are the gyrocenter coordinates, dZi/dt the phase-space velocities, (dZi/dt)pert the perturbed ones; Fs;eq the equilibrium distribution function of the “s” EP species. Vlasov eq. for gyrocenter distribution function Fs: Or, in term of δFs: ✓ ∂ ∂t + dZi dt ∂ ∂Zi ◆ ¯ Fs = 0 ¯ Fs = ¯ Fs;eq + δ ¯ Fs ✓ ∂ ∂t + dZi dt ∂ ∂Zi ◆ δ ¯ Fs = − ✓dZi dt ◆

pert

∂ ∂Zi ¯ Fs;eq

20

  • G. Vlad - EUROfusion Science meeting - 16 May 2018
slide-21
SLIDE 21

Mode coupling through the EP term (2).

Mode coupling through the EP term means that a toroidal mode number “n” gets a contribution from quantities related to the EPs characterized by modes “n1” and “n2” such that: n=n1+n2 (three waves scheme) These kind of terms are indeed present, as can be recognized schematically by the following: ΠH∝δFH: After formally splitting the generalized velocities in the l.h.s. in unperturbed “unpert” and perturbed “pert” ones: And passing to toroidal Fourier components (equilibrium: “n=0”; perturbed: “n”): From the last, convolution term, it can arise NL coupling between different n’s through the EP term. r · ΠH

21

  • G. Vlad - EUROfusion Science meeting - 16 May 2018

∂t + dZ

i

dt ∂ ∂Z

i

  • δFH = −
  • dZ

i

dt

  • pert

∂ ∂Z

i FH,eq,

⎡ ⎣ ∂ ∂t +

  • dZ

i

dt

  • eq

∂ ∂Z

i

⎤ ⎦ δFH = −

  • dZ

i

dt

  • pert

∂ ∂Z

i FH,eq

  • i

(10) −

  • dZ

i

dt

  • pert

∂ ∂Z

i δFH.

(10)

  • urier space along the toroidal direc

F.T. F.T. Σn1(dZi/dt)n1

Σn2δFH;n2

− ⎡ ⎣ ∂ ∂t + ⎛ ⎝

  • dZ

i

dt ⎞ ⎠ ∂ ∂Z

i

⎤ ⎦ δ FH,n = − ⎛ ⎝

  • dZ

i

dt ⎞ ⎠

n

∂ ∂Z

i

  • FH;0 + δ

FH;0

⎞ ⎝ ⎠

  • − Σ˜

n̸=0

⎛ ⎝

  • dZ

i

dt ⎞ ⎠

n−˜ n

∂ ∂Z

i δ

FH;˜

n