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PTRANSP. Predictive Upgrades for TRANSP. US Predictive Modeling Effort. R. Budny, S. Jardin, C. Kessel, L. P. Ku, D. McCune ( PPPL ). H. St. John ( GA ). D. P. Grote, L. Lodestro, L. D. Pearlstein, T. D. Rognlien ( LLNL ). G. Bateman, F. Halpern, A. Kritz ( Lehigh ). J. Carlsson ( Tech-X ).

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ptransp

PTRANSP

Predictive Upgrades for TRANSP

us predictive modeling effort
US Predictive Modeling Effort
  • R. Budny, S. Jardin, C. Kessel, L. P. Ku, D. McCune (PPPL).
  • H. St. John (GA).
  • D. P. Grote, L. Lodestro, L. D. Pearlstein, T. D. Rognlien (LLNL).
  • G. Bateman, F. Halpern, A. Kritz (Lehigh).
  • J. Carlsson (Tech-X).
ptransp plan
PTRANSP Plan
  • Leverage TRANSP:
    • Well validated source models (NBI, alphas, ICRF, LH, ECH/ECCD).
    • Strong connection to experimental data.
    • Fusion Grid production facility.
  • Add predictive capabilities to TRANSP:
    • Robust transport equation solver.
    • Free boundary equilibrium.
    • Connection to edge model.
  • Reuse existing software to extent possible.
design principles 1
Design Principles - 1
  • Reuse TRANSP and Fusion Simulation Project (FSP) software (to minimize costs).
  • Two driver configurations:
    • Free boundary: (TRANSP computes sources; analyzes free boundary code results).
    • Prescribed boundary: traditional TRANSP with:
      • New transport solvers (FSP Solver, GCNM-P).
      • New MHD equilibrium solvers (FSP, TEQ).
design principles 2
Design Principles - 2
  • Modular design: interchangeability of critical parts (create/use NTCC modules):
    • Transport solvers.
    • MHD equilibrium solvers.
    • Sources.
  • Leverage TRANSP archives:
    • Access to experimental data for validation.
    • NTCC module provided for data access.
slide6

PTRANSP Schematic

XPLASMA (FSP upgrade in progress)

TRDATBUF (access to experimental data)

Plasma State

Solver

Equilibrium

Sources

GCNMP

TEQ

TRANSP

Sawtooth

FSP-Sol

FSP-Equ

FSP-Src

Porcelli-L

Porcelli-P

ESC

Controller

Edge Pedestal

Lehigh

TRANSP-based controller

PPPL

FSP-based controller

Postprocessing (initially)

Bootstrap Curr

NCLASS

Stability Analysis

Edge Analysis

Hirsh-Sig.

DCON

UEDGE

PEST-2

DEGAS-2

transport solver dilemma
Transport Solver Dilemma
  • Current predictive transport models (e.g. GLF-23) are very stiff.
  • Standard numerical integration methods suffer severe oscillations and instability.
  • Attempts to “smooth” GLF-23 directly significantly changes prediction results.
  • Therefore: serious solver upgrade effort.
    • GCNM-P (General Atomics) & FSP (PPPL).
transport solvers
Transport Solvers
  • GCNM – Globally Convergent Newton Method – ONETWO Solver (St. John, GA).
    • Very general stiff PDE integrator.
    • Use of Jacobian, O(n**2) execution cost.
  • FSP Solver (Jardin & Ku, PPPL).
    • “Local” Newton method– forward implicit use of dependence of transport on grad(Ti,Te,…).
    • O(n) but may not be as stable as GCNM.
the ptransp fsp solver 1 this has been implemented in the full solver in the fsp
The PTRANSP FSP Solver - 1This has been implemented in the full solver in the FSP:

Without linearization

With linearization

  • ITER simulation
  • Linearization of dependence of GLF-23 fluxes on temperature gradients.
  • Behavior reproducible in simplified single-T analytic transport model.
  • Caveat: DIII-D experimental data validation attempt– not yet fully stable.

S. Jardin / L. P. Ku

the ptransp fsp solver 2 convergence tests
The PTRANSP FSP Solver - 2Convergence Tests:

3 Newton iterations per timestep

Base case: 1 Newton iteration per timestep

Reduce timestep by 3

Double # of zones

S. Jardin / L. P. Ku

results for a 500s iter run
Results for a 500s ITER run:

ions

electrons

Chi Values for entire run

Chi vs radius at 250s

ions

electrons

Profiles at 250s

Powers vs time

S. Jardin / L. P. Ku

ptransp progress 1
PTRANSP Progress - 1
  • Predictive Solver Improvement (as shown).
    • Both FSP solver and GCNM at GA.
  • TRANSP Improvements:
    • Export of source calculation results.
    • Accommodation of free boundary equilibrium.
    • Modification of internal loop structure to allow import of stiff transport solver results.
  • Trdatbuf_lib NTCC module– access to TRANSP input data (experimental data).
ptransp progress 2
PTRANSP Progress - 2
  • LLNL’s TEQ free boundary solver module in TRANSP.
    • NTCC module standards with error handling enhancement.
    • Time dependent NSTX test results look good.
  • UEDGE/TRANSP coupling:
    • LLNL design and prototype in place.
    • Includes TRANSP/UEDGE data exchange schema.
ptransp progress 3
PTRANSP Progress - 3
  • NTCC PEDESTAL module– predictive boundary condition option.
    • Lehigh University team making direct modifications to TRANSP (in progress).
    • Prototype installation in BALDUR.
    • Experience with L to H transition dynamics.
ptransp s next step aps
PTRANSP’s Next Step – APS
  • Drive TRANSP with ITER free boundary simulation:
    • TRANSP provides heating and current drive.
    • TRANSP uses free boundary simulation predicted temperatures and equilibria.
      • Architecture compatible with density prediction but testing of this capability likely to be postponed.
    • TRANSP archive produced:
      • Available as input to UEDGE, linear stability solvers, etc.
summary
Summary
  • The PTRANSP project will provide a community predictive transport code with state-of-the-art capabilities.
  • Like TRANSP itself, it will run as a Fusion Grid production service with world wide access.
  • Control options will be provided for prescribed boundary or free boundary operation.
  • Example of integrated ITER simulation with realistic sources by APS-2006.
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