3D MHD simulations oN ELMs and pellet inDUCED ONES

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6 th Japan-Korea Workshop on Theory and Simulation of Magnetic Fusion Plasmas 2011.07.28 Hyunsun Han, G. Park, Sumin Yi, and J.Y. Kim 3D MHD SIMULATIONS ON ELMS AND PELLET INDUCED ONES

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3D MHD simulations oN ELMs and pellet inDUCED ONES. 6 th Japan-Korea Workshop on Theory and Simulation of Magnetic Fusion Plasmas 2011.07.28 Hyunsun Han, G. Park, Sumin Yi, and J.Y. Kim. Contents. Introduction Natural ELM simulation Pellet triggered ELM simulation Summary. - PowerPoint PPT Presentation

Transcript of 3D MHD simulations oN ELMs and pellet inDUCED ONES

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6th Japan-Korea Workshop on

Theory and Simulation of Magnetic Fusion Plasmas

2011.07.28

Hyunsun Han, G. Park, Sumin Yi, and J.Y. Kim

3D MHD SIMULATIONS ON ELMSAND PELLET INDUCED ONES

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Contents

Introduction

Natural ELM simulation

Pellet triggered ELM simulation

Summary

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ELM simulation using MHD code

precursor oscillation

pedestal/SOL perturbation filament ejection, filament propagation, relative timing to relaxation

Non-linear eruption

Linear instability

Pressure builds up

Pedestal re-established

ELM Cycle

ELM dynamics

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M3D code

Original M3D code was written by W. Park (PPPL) in early 1980s

Code improvement has been ongoing continu-ously Two-fluid model (L. Sugiyama)

Hybrid model including hot particle (G. Fu)

Ref. http://w3.pppl.gov/m3d/index.php

A resistive MHD version of M3D is adapted from NYU Based on the resistive MHD equation in a cylindrical

coordinate Solves 8 equations for , , ,p B v

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ELM simulation - Computing condition Initial equilibrium is constructed considering a

KSTAR H-mode #4200 is selected.

- First ELMy H-mode shot in KSTAR- Most reviewed and analyzed shot- Plasma transport simulation results1 were

considered.

Ref. Hyunseok Kim et al 2011 KPS Spring meeting

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ELM simulation - Computing condition Reconstructed equilibrium is checked for its

edge-stability

30 30 30 1010 10 10 1010

0 0 0 3030 10 10 1010

0 0 0 00 0 30 30 5

0 0 0 00 0 0 5 5

0 0 0 00 0 0 5 5

0 0 0 00 5 5 5 50 0 0 55 5 5 5 5

0

Pressure gradient, max

Currentdensity<j//>max.

3 3.5 4 4.5 50.6

0.7

0.8

0.9

1

1.1

1.2

1.3

6.5E-026.0E-025.5E-025.0E-024.5E-024.0E-023.5E-023.0E-022.5E-022.0E-021.5E-021.0E-025.0E-033.0E-032.6E-031.7E-031.0E-030.0E+00

N

currentdensity

0 0.2 0.4 0.6 0.8 1

0.2

0.4

0.6

0.8

1

Ohmic

bootstrap

N

Pressure[Pa]

0 0.2 0.4 0.6 0.8 1

2000

4000

6000

8000

10000

12000 [Pressure]

[Current]

[Result of ELITE code]

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ELM simulation Initial perturbation is added for n=12,24, … A segment for toroidal angle as 0-30°for linear

simulation

1 1.5 2 2.5

-1

0

1

• τA = R0/vA ≈ 0.13 μs with vA = B0/(μ0ρ0)1/2

• Typical quantities- Norm. plasma resistivity S = 1.0 x 10-6,- Norm. ion viscosity μi/ρ = 1.0 x 10-5

- Perp. thermal conductivity κ⊥ = 1.0 x 10-5

(43 x 200 x 4)

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artificial chopping

KE as a function of time

Time ( A )

K.E.(t)

20 40 60 80-12.5

-12.0

-11.5

-11.0

-10.5

-10.0

-9.5

ELM simulation – Linear mode

Perturbed poloidal magnetic flux

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ELM simulation – Nonlinear mode A segment for toroidal angle as 0-90°

Time (A)

K.E.(t)

200 220 240 260 280 300-6.4

-6.2

-6

-5.8

-5.6

-5.4

-5.2

-5

ELM crashes

Number of poloidal plane is increased as 16. (i.e. 43x200x16)

Relaxation

Pressure.

-0.02 -0.01 0 0.01 0.02 0.03 0.04

184.4τA

282.6τA

626.2τA

Pressure profiles

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ELM simulation – Nonlinear mode

-0.2 0 0.2 0.4 0.6

0

0.5

1

1.5

184.4τA

-0.2 0 0.2 0.4 0.6

0

0.5

1

1.5

-0.2 0 0.2 0.4 0.6

0

0.5

1

1.5

Density contour evolution

Finger-like structure is seen during ELM crash.

282.6τA 626.2τA

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ELM simulation – Nonlinear mode

-0.2 0 0.2 0.4 0.6

0

0.5

1

1.5

-0.2 0 0.2 0.4 0.6

0

0.5

1

1.5

-0.2 0 0.2 0.4 0.6

0

0.5

1

1.5

Temperature contour evolution

184.4τA 282.6τA 626.2τA

Temperature distribution reflects the tangled magnetic field structure

Radial extent is not larger than that of density.

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Pellet induced ELMs

ELM pace making enhancing the ELM frequency (fELM) be-yond the intrinsic value (f0 )

fELM=83Hz f0=51Hz

P.T. Lang et al, NF (2005)

We want to know the ELM trigger mechanism by pellet injec-tion using a nonlinear 3D MHD code (M3D).

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Idea for simulation on pellet induced ELMs

Simulation process for a spontaneous ELM

ELM

Linear perturbation

Growing

Pellet induced localized pressure perturbation

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Simulation condition on pellet injection (1)

It is assumed

: The details of the ablation processes are not considered

Ref.) H.R. Strauss et al Physics of Plasma 7 (2000) 250 G. T. A. Huysmans et al PPCF 51 (2009) 124012

the ablation and ionization time scale are short

the injection process is adiabatic: The pellet impart no energy to the plasma ( p=const. )

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-0.5 0 0.5

-0.5

0

0.5

Simulation condition on pellet injection (2)Initial conditions

-0.5 0 0.5

-0.5

0

0.5

-0.5 0 0.5

-0.5

0

0.5

-0.5 0 0.5

-0.5

0

0.5

-0.5 0 0.5

-0.5

0

0.5

-0.5 0 0.5

-0.5

0

0.5

Density Temperature Pressure

After 100 time step Density Temperature Pressure

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Simulation condition on pellet injection (3)

: Initial equilibrium is arbitrarily generated using TOQ code and xplasma in the NTCC library - Edge pedestals are modeled using a tanh function. - Bootstrap current is included using the Sauter model. (Phys. Plasmas 1999)

An artificial equilibrium is constructed based on a high performance KSTAR H-mode

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Pellet simulation using M3D

Computing domain : 0 to 2π in toroidal axis with 32 planes 72x200 points on a poloidal plane triangular mesh

Typical quantities :

- τA = R0/vA ≈ 0.17 μs with vA = B0/(μ0ρ0)1/2

- Norm. plasma resistivity S = 1.0 x 10-6

- Norm. ion viscosity μi/ρ = 1.0 x 10-5

- Perp. thermal conductivity κ⊥ = 1.0 x 10-5

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Initial density distribution in 3D

Pellet simulation using M3D

Initial condition: Density perturbation by injected pellet

- Peak density ~ 169 x back-ground density

- r=0.46m on outer midplane with rp=4cm - The distribution is also per-turbed toroidally

-4 -3 -2 -1 0 1 2 3 40

0.2

0.4

0.6

0.8

1

1.2

Toroidal direction (rad.)

Amplitude

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Density contour evolution

10.3τA 25.3τA 35.6τA

Massive particles are ejected from the plasma during the evolution of pellet cloud

91.7τA

Numerical results on pellet simulation

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10.3τA 25.3τA 35.6τA 91.7τA

Temperature contour evolution

Perturbed temperature is quickly stabilized than per-turbed density

Numerical results on pellet simulation

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Midplane (m)

Density

0.35 0.4 0.45 0.5

0.25

0.3

0.35

t=0

t=12.96

t=23.26

Numerical results on pellet simulation

ELM crashes

Time (A)

K.E.

50 100 150 200-7.5

-7.0

-6.5

-6.0

-5.5

-5.0

-4.5

-4.0

-3.5

Relaxation

The unstable period by the pellet injection is relatively short.

: Peaked kinetic energy is rapidly decreased. Local density minimum means the ejection of den-sity blob.

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Summary

1. ELM simulation

2. Pellet injection simulation

- The finger-like structure is shown in density distribution plot.

- Density perturbation is much larger than temperature one during ELM instability.

: The simulation shows similar results with experimental observation

: Injected pellet in an H-mode pedestal can lead to the destabilization of a balloon-ing mode

- Massive particles are ejected from the plasma during the evolution of pellet cloud

- The unstable state becomes stabilized in a relatively short period

Further simulation is required to identify the characteristics on the ELMs