Nonlinear Simulations of ELMs with NIMROD D.P. Brennan Massachussetts Institute of Technology Cambridge, MA S.E. Kruger Tech-X Corp, Boulder, CO A. Pankin,

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Presentation transcript:

Nonlinear Simulations of ELMs with NIMROD D.P. Brennan Massachussetts Institute of Technology Cambridge, MA S.E. Kruger Tech-X Corp, Boulder, CO A. Pankin, D.D. Schnack SAIC, San Diego, CA P.B. Snyder General Atomics, San Diego, CA

There is Significant Motivation to Study Nonlinear Extended MHD simulations of ELMs The energy loss and mode saturation mechanisms of ELMs with a self consistent nonlinear extended MHD model How resistivity and inertia / viscosity influence the nonlinear mode evolution Studying the nonlinear mode coupling and how energy is transported in (R, Z) and n Anisotropic thermal transport coefficients with realistic heat loss treatment How toroidal rotation effects mode structures and evolution (QH mode) Two fluid and FLR effects

Simple Equilibrium Chosen for Study Limiter Case Pedestal Edge Low Edge Current Flat Core Profiles Stable in Core Unstable at Edge Moderate Edge q

NIMROD Shows Agreement with ELITE Mode Structure ELITE Figure does not include vacuum perturbation Poloidal and radial distribution of the mode is in rough agreement Peeling Component not Captured? n=7 shown

Growth Rates From Ideal Codes Bracketed by NIMROD depending on resistivity in edge region NIMROD growth rates depend on local resistivity, and therefore dvac which sets the vacuum resistivity ratio to core, and slightly affects resistivity at edge.

Nonlinear Simulations of Edge Localized Modes are Pioneering a New Understanding of ELM Evolution The coupled modes form complex structures in flow velocity and Temperature, among other fields. Areas of high temperature are seen flowing out, in agreement with previous analyses. The nonlinear saturation and heat loss mechanisms of ELMs are not well understood.

Coupling to low n modes ubiquitously drives large low n modes in the early nonlinear phase Energy distribution peaked at low and high mode numbers. Low n modes initially have lower linear growth rate compared to higher n. Assuming equipartition of energy as initial condition, the higher n modes grow linearly to large amplitude and their beating nonlinearly drives the lower n modes to large amplitude. Intermediate n=5-10 modes are robustly linearly unstable but are not strongly driven in the early nonlinear phase.

Several adjustments have been made to the computational prescription for the ELM simulations The div(B) is large for high k edge modes when divbd is too small The grid must be dense all the way out to the wall The v_cfl MAY need to be kept low ~0.01, but this is uncertain at this time. MPI communication efficiency was studied and could probably be improved. divbd=1e4 -> k 2 ~1e-1 divbd=1e8 -> k 2 ~1e-4

To Study This Problem and Relate to Experiment the Stability Boundary in s,  Space Must Be Explored The pedestal height is being varied while conserving the core pressure and q, for an  scan. It is hoped that marginally unstable modes will saturate nonlinearly at a small size. A comparative analysis of nonlinear evolution with high and low shear alone would be interesting, even without saturation.

Growth rates decrease with pedestal height but remain unstable in the ideal stable regime n=1 n=6 n=21 More work is needed to find the stability boundary: Experiment resides near and crosses stability boundary. Is it necessary or even wise to map out J,P space? Destabilizing effects of resistivity are not countered with stabilizing effects found in experiment.

Without hyperviscosity high n initially dominant, causes low n coupling and low n shelf in growth rates Movie starts in the nonlinear phase. The high n become largest first and nonlinearly drive a low n shelf in growth rates. Intermediate n are eventually driven with the largest growth rate as low n become large amplitude.

With hyperviscosity low n initially dominant, causes high n coupling and high n shelves in growth rates Movie starts in the nonlinear phase. The low n become largest first and nonlinearly drive a high n shelf in growth rates. Multiple shelves occur, height and width of shelves is dependent on distribution and growth rates of amplitudes

Basic Agreement with BOUT Simulations and Experiment is Sought in Structure of Nonlinear Mode A single “finger” of high density propogates out into the vacuum region in a DIII- D simulation of an ELM using BOUT. Either a single finger or a multi filament structure is observed depending on initial conditions, single n or multiple n unstable (see Snyder’s invited). It is thought that the basic structure of the ELM should agree between NIMROD and BOUT. DATA Courtesy of X.Q. Xu (LLNL) and P.B. Snyder (GA)

Summary of Current Status ELITE, GATO and NIMROD show similar results Growth rates for ideal codes may only match NIMROD in extreme limit of sharp edge diffusivity transition Preliminary nonlinear results show outward propogation of high temp regions Coupling to drive large low n modes is expected to be ubiquitous in early nonlinear evolution (will we see a “finger”?) Hyperviscosity has been applied to stabilize the highest n and retain toroidal resolution, mimicking two fluid effects Stability boundary in s,  space is being explored and both compared to linear results from ELITE and GATO, and hopefully lead us to a saturated state.

Near Future Directions Complete benchmarking with ELITE and GATO, sharper edge transition Simulate evolution late into nonlinear phase, possibly to saturation Look for signs of the formation of a “finger”, compare with BOUT Study saturation with marginally unstable equilibria Include equilibrium toroidal rotation, compare with ELITE “Calibrate” hyperviscosity function to give a suitable effect Increase toroidal resolution to 44 modes with hyperviscosity effecting n>35. Include x-point

Far Future Directions Nonlinear energy cascade (R, Z and n), depth, energy loss Resistive wall boundary conditions and deposition to the wall Direct comparison of code against experimental diagnostics using equilibrium reconstructions from DIII-D Full two-fluid modeling