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Tokamak 3D Heat Load Investigations Using an Integrated Simulation Framework: HEAT

T. Looby�Nov. 29 2021

This work is supported in part by U.S. Department of Energy Awards: DE-AC05-00OR22725 & DE-AC02- 09CH11466

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TABLE OF CONTENTS

HEAT gyro-orbit physics

Goals for the future

The need for 3D PFC integrated modeling

Example HEAT gyro-orbit investigations

H.E.A.T.

Example HEAT investigations

04

06

01

05

02

03

2

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The need for 3D PFC integrated modeling

01

3

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The tokamak wall is the interface between fusion plasmas and many tokamak systems

4

Interface!

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High power tokamaks push the plasma facing components (PFCs) to their engineering limits

5

J. W. Coenen et al., Phys. Scr., vol. T170, p. 014013, Dec. 2017, doi: 10.1088/1402-4896/aa8789.

R. Neu et al., Journal of Nuclear Materials, vol. 511, pp. 567–573, Dec. 2018, doi: 10.1016/j.jnucmat.2018.05.066.

R. A. Pitts et al., Nuclear Materials and Energy, vol. 20, p. 100696, Aug. 2019, doi: 10.1016/j.nme.2019.100696.

A. Q. Kuang et al., Journal of Plasma Physics, vol. 86, no. 5, p. 28, doi: 10.1017/S0022377820001117.

JET (intentional)

ASDEX-U (unintentional)

Tungsten melting examples:

ITER

Extreme heat flux examples:

SPARC

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PFC design engineers manage high heat loads via 3D shaping of the PFC surfaces

6

Bevel

Fish-scale

2

1

3

Castellations

Chamfer

HEAT FLUX

ITER

  • T. Hirai, Fusion Engineering and Design, p. 7, 2018.
  • I. Nunes, P. de Vries, and P. J. Lomas, Fusion Engineering and Design, p. 8, 2007.

JET ILW

NSTX-U

T. Looby et al., Fusion Science and Technology. In press. 2021

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NSTX-U Recovery PFCs employ a castellated graphite design to mitigate heat loads

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IBDV

CSAS

OBD

IBDH

NSTX-U Lower Divertor

IBDH Tile

Single Castellation

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Fish-scale protects toroidally facing leading edges from high angle of incidence heat fluxes

8

Note step between castellations (fish-scale)

Heat Flux

Prototype NSTX-U PFC Front View

ɸ

Side View

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3D geometry creates magnetic shadows in toroidal direction (missed with axisymmetric model)

9

Ignoring magnetic shadows loads entire PFC surface

Including magnetic shadows decreases loaded surface area by >55%

toroidal direction

Note: these results for high flux expansion case where angle of incidence ~ 1°

IBDH

Tile

IBDH

Tile

IBDH

Tile

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The Heat flux Engineering Analysis Toolkit (H.E.A.T.)

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10

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Each Plasma Facing Component (PFC) interfaces to many systems and physical domains

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PFC

Cooling System

Mechanical / Fastener System

Coolant

Magnet System

Vacuum System

Plasma Physics, MHD, Turbulence, E&M,

ELMs,

Fast Particle Losses,...

Sheath physics, material transport, recycling, PKA effects,...

Boundary physics, heat flux, gyro orbits, radiated power,

blobs & filaments,...

Material properties / limits, radiation effects, temperature / stresses,...

Example PFC Design and Physics Space (many domains omitted)

Core

SOL

Sheath

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Tokamak PFC analysis requires interfacing many complex simulation systems

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3D MHD EQ (M3D-C1)

2D MHD EQ (EFIT)

Field Line Tracer (MAFOT)

Fast Ion Tracer �(SPIRAL)

Parametric CAD Software (Solidworks)

Design Optimization Algorithms

Finite Volume Solver �(ANSYS)

Boundary Plasma Physics

(SOLPS)

Gettering and Redeposition

CFD Software (openFOAM)

Synthetic Diagnostic Simulator

User Interface

Data Visualization

Grad - Shafranov Solvers (FreeGS)

Neutronics (MCNP)

Machine Learning (tensorflow)

Physics Codes:

Engineering Codes:

Visualization Codes:

Control Algorithms

Control and AI Codes:

+ many more…!

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The Heat flux Engineering Analysis Toolkit couples MHD EQ, CAD, physics, visualization, and more

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CAD

HTML GUI

MHD

HEAT FLUX SIMULATOR

FVM

STP / CAD

(from Engineer)

EFIT (MDS+),

GEQDSK,

M3DC1*,

SIESTA*,

VMEC*

grid

EQ

q(x,y,z,t)

PHYSICS

T(x,y,z,t)

Scalings, Models, �etc.

Material Properties

New Physics

+

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The Heat flux Engineering Analysis Toolkit couples MHD EQ, CAD, physics, visualization, and more

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CAD from engineer

MHD EQ (time varying) from plasma physicist

Heat flux (time varying) calculated on CAD surface

Temperature (time varying) solved thru CAD volume

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HEAT’s sleek HTML5 user interface enables it to be run headless on a Local Area Network (LAN)

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ip address for your network here

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HEAT users follow simple GUI steps to generate heat load predictions

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  1. User loads MHD equilibrium
  2. User loads CAD
  3. User defines region of interest (ROI) and intersections
  4. HEAT calculates magnetic shadows via field line tracing
  5. HEAT calculates optical power (electrons)
  6. HEAT calculates gyro-orbit power (ions)
  7. HEAT calculates temperatures

+

=

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Step 1: user loads MHD Equilibrium, can correct EQDSK formatting errors, or stitch together a sweep

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Step 2: user loads CAD in STP (ISO 10303-21) format, and HEAT meshes CAD according to user specs

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Example 5 mm maximum edge length

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Step 3: user defines Region of Interest (ROI) and potential Intersection PFCs that could cast shadows

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Intersects

ROI

Power Flow

Lower NSTX-U divertor view from core

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Step 4: HEAT calculates magnetic shadows via the MAFOT magnetic field line tracing code

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Intersection face

Field line trace

Shadowed point

upstream tile

downstream tile

gap

Shadowed point

Shadowed points identified by checking for intersections with other mesh elements

upstream tile

downstream tile

MAFOT: A. Wingen, et al, “High resolution numerical studies of separatrix splitting,” Nucl. Fusion, p. 9, 2009.

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Step 5: HEAT calculates the optical heat flux to each mesh center, creating a heat flux point cloud

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Example shown for maximum mesh edge length of 2 mm

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Step 6: HEAT calculates the gyro-orbit heat loads for ions with finite Larmor radii

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Helical gyro orbit trace�for T=100 eV

Optical field line trace

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Step 7: HEAT calculates temperatures using an internal finite volume solver (openFOAM)

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HEAT is open source under the MIT license and available to users via an appImage for Linux

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Within 9 months of v1 release, HEAT appImage users are popping up all over the fusion community:

  • 5 Tokamaks
  • 3 US National Labs
  • 2 Private Companies
  • 2 Universities

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Example HEAT Investigations

03

25

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HEAT was used to revisit NSTX-U Recovery PFC working group analyses

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BT = 1T

Ip = 2MA

∠ @ peak = 0.86°

Profile: Gaussian Spreading

λq = 1.903mm (Eich #15)

S = 0.914 mm (Makowski #6)

Max Mesh Edge Length: 3 mm

PSOL = 3.5 MW

Psum = 3.582 MW

IBDH

OBD

IBDV

CSAS

OBD

IBDV

CSAS

IBDH

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Using HEATs time varying 3D capabilities enables the determination of PFC operational limits

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Probe �Locations

IBDH

OBD

R

ɸ

Both PFCs sublimate in this operational scenario. Results for Psol = 7MW, fully attached

T. Looby et al., Fusion Science and Technology. In press. 2021

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Using HEATs time varying 3D capabilities enables the determination of PFC operational limits

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Probe �Locations

IBDH

OBD

R

ɸ

Both PFCs sublimate in this operational scenario. Results for Psol = 7MW, fully attached

T. Looby et al., Fusion Science and Technology. In press. 2021

PFCs constrain tokamak operational scenario!

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HEAT couples directly to engineering solvers for time varying temperature and stress predictions

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Time varying analysis enables maximization of the allowable tokamak operational space

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T. Looby et al., Fusion Science and Technology. In press. 2021

10Hz strike point sweep frequency enables this magnetic scenario to run for 3.36s before engineering limit is reached

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Time varying analysis enables maximization of the allowable tokamak operational space

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T. Looby et al., Fusion Science and Technology. In press. 2021

10Hz strike point sweep frequency enables this magnetic scenario to run for 3.36s before engineering limit is reached

Time varying plasma extends shot duration.

HEAT can quantify the extension.

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HEAT is currently being validated against experimental data from ST40

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Real IR Camera

HEAT Prediction

ST40 Inner Wall Limiter

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HEAT gyro-orbit physics

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Refresh your memory on the region of interest: �the IBDH tile and castellations

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IBDV

CSAS

OBD

IBDH

NSTX-U Lower Divertor

IBDH Tile

Single Castellation

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A new ion gyro orbits module calculates the helical trajectories of ions with finite Larmor radii

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CAD mesh triangles

helical gyro orbit trace

magnetic field line trace

optical strike location

gyro-orbit strike locations

view

ɸ

ɸ

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Gyro orbit trajectories determined via forces and equations of motion

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From Newton’s Law / Lorentz Force, neglecting electric fields:

Solving yields the equations of motion:

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Equations of motion contain 3 unknown variables that must be sampled to simulate trajectories

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Gyro phase angle

Total Speed

Velocity phase angle

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Gyro phase angle, is the initial angle of the particle with respect to magnetic field, sampled uniformly

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Example Field Line + Helical Trace:

𝛼 = 0

𝛼 = 3𝝅/2

NgP = 5

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Total speed is sampled from Maxwellian such that energy integrals of bins are equal (v is bin center)

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NvS = 3

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Velocity phase angle defines the energy sharing between v and v||, sampled uniformly

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NvP = 4

*Note that here (ex,ey,ez) represent a coordinate system local to the magnetic field line

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GyroSourcePlane is used to launch macro-particles

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Mesh triangle, j, on gyro source plane

Mesh triangle, i, on ROI PFC

Gyro orbit module maps power from j to i using the helical trajectories of ions as the mapping function

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Each macro-particle carries a fraction of the pseudo-optical power

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Power for macro-particle (j,k,l,m)

Pseudo-optical power at mesh element j

Fraction of PSOL that ions carry

Fraction of this gyro phase angle, k

Fraction of this velocity phase angle, l

Fraction of this velocity slice, m

j

j is launch element of macroparticles

i

(NgP, NvP, NvS) = (k,l,m): defines macro-particle

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Sum of all macro-particle powers that land on a mesh element, i, is the gyro-orbit power

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j

i

Where:

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Convergence tests were performed to ensure that gyro-orbit algorithm is robust

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variables are (NgP, NvP, NvS)

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Increasing number of macro-particles causes 3D heat flux profiles to converge to ‘ground truth’

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Here, (5,5,5) is ‘ground truth’

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Example HEAT gyro-orbit investigations

05

46

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Research for ITER has been performed that does 1-2 Dimensional gyro orbit calculations

Komm

Gunn

J. Gunn et al “Surface heat loads on the ITER divertor vertical targets,” Nuclear Fusion, 2017

M. Komm et al “Particle-in-cell simulations of the plasma interaction with poloidal gaps in the ITER divertor outer vertical target,” Nuclear Fusion, 2017

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For comparison to existing research, a test case was created in HEAT

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HEAT calculates gyro-orbit and optical heat loads on test case CAD then defines 1D chords

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Comparing against previous 1D research is useful for HEAT benchmarking

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HEAT

HEAT

Komm

Gunn

J. Gunn et al “Surface heat loads on the ITER divertor vertical targets,” Nuclear Fusion, 2017

M. Komm et al “Particle-in-cell simulations of the plasma interaction with poloidal gaps in the ITER divertor outer vertical target,” Nuclear Fusion, 2017

T. Looby et al, “3D Ion Gyro-orbit Heat Load Simulations Using Engineering CAD Geometry for NSTX-U” Nuclear Fusion, Pending Submission. 2021

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Comparing against previous 1D research is useful for HEAT benchmarking

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HEAT

HEAT

Komm

Gunn

J. Gunn et al “Surface heat loads on the ITER divertor vertical targets,” Nuclear Fusion, 2017

M. Komm et al “Particle-in-cell simulations of the plasma interaction with poloidal gaps in the ITER divertor outer vertical target,” Nuclear Fusion, 2017

T. Looby et al, “3D Ion Gyro-orbit Heat Load Simulations Using Engineering CAD Geometry for NSTX-U” Nuclear Fusion, Pending Submission. 2021

HEAT can reproduce existing research

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Refresh your memory on the region of interest: �the IBDH tile and castellations

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IBDV

CSAS

OBD

IBDH

NSTX-U Lower Divertor

IBDH Tile

Single Castellation

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Gyro-orbit heat flux differs from the optical heat flux in shadows and on edges and corners

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Shadow

No Shadow

Hot Corners

Cool Corners

ɸ

ɸ

Optical

Gyro-obit

T Looby et al, “3D Ion Gyro-orbit Heat Load Simulations Using Engineering CAD Geometry for NSTX-U” Nuclear Fusion, Pending Submission. 2021

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Plotting along toroidal and poloidal chord can yield insight into heat loading footprints

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ɸ

Spol

Stor

1.0mm

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Gyro-orbit heat flux can access regions designed to be protected by castellation fish-scales

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Stor>0

Stor>0

ɸ

Top Surface

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Gyro-orbit heat flux loads both poloidally facing edges, favoring side that aligns with gyro helicity

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Spol>0

ɸ

Spol>0

Top Surface

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HEAT temperature analysis can be applied to determine PFC thermal state

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Optical

Optical

Optical

Gyro

Gyro

Gyro

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Temperature difference between gyro-orbit and optical heat loads is small

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Peak PFC Temperature [K]

These results for PSOL, Outer = 4.9 MW

2.21s

2.37s

2631K

2720K

Optical

Gyro-orbit

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Shadow filling effect enhanced with increasing plasma temperature

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Optical Approximation

Gyro Approximation� @ Ti = 10 eV

Results for Psol = 4.9MW with 27 (3,3,3) macroparticles

Gyro Approximation �@ Ti = 100 eV

Ti is temperature used to define Maxwellian speed distribution

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Shadow filling effect enhanced with increasing plasma temperature

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Optical Approximation

Gyro Approximation� @ Ti = 10 eV

Results for Psol = 4.9MW with 27 (3,3,3) macroparticles

Gyro Approximation �@ Ti = 100 eV

Ti is temperature used to define Maxwellian speed distribution

Gyro-orbits enhance PFC performance!

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Goals For the Future

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Integrated design, analysis, diagnostic, and ML loops

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HEAT

New physics models

Diagnostics

Machine Control System

HEAT prediction database

Reduced Model AI Algorithms

CAD Generation

AI Optimization Algorithms

Run Experiment

Exper. Research

Engineering Design

Control

HEAT Framework

Inverse prediction

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Conclusions

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  • High power tokamaks require heat mitigation strategies
    • Change geometry
    • Change plasma
  • H.E.A.T. is a software suite that calculates heat loads in tokamak PFCs
    • Real 3D engineering CAD
    • Integrates multiple physics and engineering domains
  • A direct mapping from PFC engineering limits to machine operational domain can be calculated with HEAT
  • HEAT can simulate the optical and gyro-orbit heat loads
  • For NSTX-U, gyro-orbit heat fluxes tend to reduce the peak PFC temperature rather than increase it
    • Effect increases with temperature
  • Further work will seek to include more physics and use HEAT in loops

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Publication and conference list

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  • 1st Author Publications
    • T. Looby, M. Reinke, D. Donovan, T. Gray, M. Messineo and A. Khodak, Convolutional Neural Networks for Heat Flux Model Validation on NSTX-U, IEEE Transactions on Plasma Science, 2020
    • T. Looby, M. Reinke, A. Wingen, J. Menard, S. Gerhardt, T. Gray, D. Donovan, E. Unterberg, J. Klabacha, M. Messineo, A software package for plasma facing component analysis and design: the Heat flux Engineering Analysis Toolkit (HEAT), Fusion Science and Technology, In Press, 2021
    • T. Looby, M. Reinke, A. Wingen, D. Donovan, E. Unterberg, “3D Ion Gyro-orbit Heat Load Simulations Using Engineering CAD Geometry for NSTX-U” Nuclear Fusion, Pending Submission. Dec 2021
  • Co-author Publications
    • T. Gray, D. Youchison, R. Ellis, M. Jaworski, A. Khodak, T. Looby, M. Reinke, G. Smalley, D. Wolfe, High Heat Flux Testing of Castellated Graphite Plasma Facing Components, Fusion Science and Technology, 2020
    • A. Wingen, M. Reinke, T. Looby, D. Orlov, Non-axisymmetric heat flux patterns on tokamak divertor tiles, OSTI Report, Oak Ridge National Laboratory, 2019
    • T. Gray, N. Allen, M. Reinke, G. Smalley, D. Youchison, R. Ellis, M. Jaworski, T. Looby, M. Mardenfeld, D. Wolfe, Integrated plasma facing component calorimetry for measurement of shot integrated deposited energy in the NSTX-U, Review of Scientific Instruments, 2018
  • Conference Posters & Talks
    • “High fidelity tokamak heat load predictions for engineering design using the open source Heat flux Engineering Analysis Toolkit (HEAT)”, IEEE SOFE Conference, 2021
    • “Ion gyro orbit heat load simulations on real CAD using open source software”, APS DPP Conference, 2021
    • “Evaluating NSTX-U Operational Space Relative to PFC Engineering Limits”, APS DPP Conference, 2020
    • “Simulating Heat Loads onto 3D PFC Geometries in NSTX-U”, APS DPP Conference, 2019
    • “Convolutional Neural Networks for Heat Flux Model Validation on NSTX-U”, IEEE SOFE Conference, 2019
    • “Heat Flux Model Validation Utilizing Machine Learning and Sub-surface Thermocouples for NSTX-U Plasma Facing Components”, APS DPP Conference, 2018

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Questions

Github:

https://github.com/plasmapotential/HEAT

tlooby@vols.utk.edu

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NSTX-U graphite PFCs are thermally limited at 1600°C

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8 MW/m2 heat flux applied to SGLR6510 surface for 5s pushes material past sublimation limit

NSTX-U graphite has a engineering limit of ~ 1600°C

NSTX-U Recovery PFC working group understood this limit, but lacked the tools to check physics scenarios against PFC sublimation

PFC temperature can constrain physics scenarios!

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PFC performance can be degraded by changes in interfaced systems designed separately

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Intended Design

As Built

PFC shifted +z by ½ inch!

Z

R

Peak edge HF ~246 MW/m2

Manufacturing error in NSTX-U vacuum vessel results in OutBoard Divertor PFC getting shifted 0.5 inches into the plasma. Exposes leading edge!

Calculation only possible with 3D heat flux predictions interfaced to CAD

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HEAT software architecture flow chart

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dashGUI.py

GUIclass.py

MHDClass.py

CADClass.py

pfcClass.py

heatfluxClass.py

openFOAMclass.py

toolsClass.py

GEQDSK

STP file

PFC file

HEAT Input File

Web browser

User Interface

HEAT Core Modules

Input Files

Yellow / dashed boxes are shared memory between all classes

gyroClass.py

Blue / dotted boxes are user input files

Linux terminal

terminalUI.py

(under dev.)

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Existing integrated PFC frameworks exist, but are limited in scope and not open source

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Runner up: SMITER

L. Kos et al., Fusion Engineering and Design, 2019

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HEAT employs state-of-the-art ray-triangle intersection algorithms and acceleration structures

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These w/ MPI parallel code, enable 1 million mesh faces to be checked in ~5 minutes on 6 CPUs for 10° trace

Möller-Trumbore ray-triangle intersection xfm to barycentric coordinates:

Möller, Tomas; Trumbore, Ben (1997). "Fast, Minimum Storage Ray-Triangle Intersection". Journal of Graphics Tools. 2: 21–28.

Dimensionality reduction acceleration structure to filter potential intersects:

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Acceleration structures increase speed by more than 10X for some cases (more with 𝜓 filter)

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Result while holding intersects fixed

# of Intersects: 68094

Result while holding ROI fixed

# of ROIs: 22628

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Intersection trace length, error %, and simulation time, must all be balanced based on user objective

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HEAT has been ported to 5 tokamaks: NSTX-U, DIII-D, ST40, STEP, SPARC*

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*SPARC not shown for IP reasons

NSTX-U Rec.

STEP/DEMO

DIII-D �negD

ST40 2.2

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HEAT has a parametric CAD program built into the CAD python module. Can be used for design.

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FreeCAD is an open source parametric CAD modeler. https://www.freecadweb.org/

HEAT’s python wrapper uses FreeCAD for:

  • In the loop design optimization
  • Interacting with STP files
  • Filtering large CAD files by part #
  • Meshing each PFC (STL)
  • Coordinate permutations
  • Digging through assemblies

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HEAT uses openFOAM for Finite Volume Methods (FVM) and Computational Fluid Dynamics (CFD)

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openFOAM is an open source package for:

  • Continuum Mechanics
  • Finite Volume Methods
  • Developing PDE solvers
  • Creating FV meshes

https://www.openfoam.com/releases/openfoam-v1712/

HEAT uses openFOAM to:

  • Create volume meshes from STLs
  • Map heat flux to surfaces
  • Solve heat diffusion equation
  • Use material dependent T properties
  • Simulate diagnostic signals

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ParaView is under the hood of HEAT’s powerful visualization algorithms

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Global water surface temp by LANL

openFOAM “motorbike” tutorial by NVIDIA

Images from ParaVIEW website gallery

ParaVIEW is an open source package (originally from LANL) for:

  • Visualization
  • Data probing, Interaction, Virtual Reality
  • Rendering movies
  • Parallel / cluster rendering (terascale)

https://www.paraview.org/

HEAT uses ParaView to:

  • Visualize data
  • Render movies

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SImulation objective determines the validity of ignoring electric fields. Work for ITER confirms

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M. Komm et al 2017 Nucl. Fusion 57 126047

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Gyro orbit trajectories determined via equations of motion

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Integrating equations of motion yields helical trajectories:

Using the following relationships:

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Highly non-axisymmetric ST40 divertor heat loads are being simulated with HEAT

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TE EQ009

150 ms discharge

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HEAT is being used to simulate divertor heat loads for the DIII-D negD discharges

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Outer Divertor qpeak ~ 10.2 MW/m2

Inner Divertor qpeak ~ 5.15 MW/m2

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HEAT is being used to simulate divertor heat loads for the DIII-D negD discharges

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R

Outboard side of new PFC gets loaded with a peak of ~ 4.5 MW/m2 on corner

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UTK DIII-D DiMES head RFEA is being designed using HEAT optical + gyro orbit simulations

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Peak for DiMES head is around 127 MW/m2 on edge, but remember this is a mesh (flat triangular faces)

Peak for RFEA holder is around 380 MW/m2

DiMES Head

RFEA Insert

Slit for grid access

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UTK DIII-D DiMES head RFEA is being designed using HEAT optical + gyro orbit simulations

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EU-DEMO / STEP teams are using HEAT to predict HEAT loads

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Psum, wall ~ 2.75 MW

Psum, divertor ~ 44.17 MW

λq = 50mm; S = 0.1mm; Max Mesh Edge Length = 20mm

qpeak = 1.80 MW/m2

qpeak = 2.02 MW/m2

Inner Divertor

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HEAT has been compared to SMARDDA output for EU-DEMO

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SMARDDA

HEAT

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Many other projects have utilized HEAT in some capacity over the past year

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  • SPARC Divertor Design (M. Reinke)
  • SPARC Limiter Design (M. Reinke)
  • SPARC RF Antenna Design (M. Reinke)
  • ST40 v3 Divertor Design (C. Marsden)
  • ST40 STF1 Divertor Design (C. Marsden)
  • ST40 Limiter Design (C. Marsden)
  • DIII-D Moveable Divertor Design (A. Wingen)
  • UTK DiMES Probe Magnetic Field Traces (J. Duran)
  • STEP Design Studies (D. Vaccaro)

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HEAT can predict heat loads for limited discharges

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Profile Type: Limiter

λq, near= 3mm

% Power Near: 90%

λq, far = 1mm

% Power Far: 10%

PSOL = 2 MW

Psum = 1.928 MW

Max Mesh Edge Length: 2 mm

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SImulation objective determines the validity of ignoring electric fields. Work for ITER confirms

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M. Komm et al 2017 Nucl. Fusion 57 126047

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NSTX-U presents a unique opportunity to study ion gyro orbit heat fluxes for ITER full field ELMs

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ITER ELM Scenario*:

Magnetic Field ~ 8 T

Ion Temperature ~ 5 keV

Effective Mass ~ 2.5 AMU

Gyro Radius ~ 1.5 mm

NSTX-U Scenario to ~Match:

Magnetic Field ~ 1 T

Ion Temperature ~ 100 eV

Effective Mass ~ 2.0 AMU

Gyro Radius ~ 1.6 mm

*ELM parameters taken from J. P. Gunn, Nuclear Materials and Energy, p. 9, 2017.

NSTX-U has castellated graphite PFCs that can be used to experimentally validate gyro orbit physics models for the ITER tungsten monoblocks!

  • Similar ion gyro radii
  • Similar PFC geometry

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Primary goals for HEAT (and Tom)

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  • Build out the HEAT physics modules
    • Radiated power and detachment
    • ELMs and Filaments
    • 3D plasmas and M3D-C1
  • Use HEAT to train Artificial Intelligence / Machine Learning models
    • Use HEAT to build ML training datasets
    • Use AI to accelerate HEAT calculations
  • Integrate HEAT in design loops
    • Autonomous AI / ML based CAD generation to optimize specific machine metric
    • Integrate with 3D printing design space