2021
DOI: 10.1088/1741-4326/ac34d7
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Simulation of pellet ELM triggering in low-collisionality, ITER-like discharges

Abstract: 3D nonlinear, as well as 2D linear M3D-C1 simulations are used to model ELM triggering by small pellets in DIII-D discharges in the ITER relevant, peeling-limited pedestal stability regime. A critical pellet size threshold is found in both experiment and modeling depending on pedestal conditions, pellet velocity and injection direction. Using radial injection at the outboard midplane, the threshold is determined by M3D-C1 for multiple time slices of a DIII-D low-collisionality discharge that has pellet ELM tri… Show more

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Cited by 2 publications
(8 citation statements)
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“…The most unstable mode can be found near n = 23. In the linear workflow, see [11], n = 9 was found to be the most unstable mode for this case, which can still be seen in the time average here as well by the increased growth rate around n = 9 compared to n = 7 and n = 11. However, during the time evolution, which is only captured by the nonlinear workflow, high-n ballooning modes grow significantly stronger, resulting in the large growth rates for n > 20.…”
Section: Finding a Threshold For Pellet Elm Triggeringsupporting
confidence: 51%
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“…The most unstable mode can be found near n = 23. In the linear workflow, see [11], n = 9 was found to be the most unstable mode for this case, which can still be seen in the time average here as well by the increased growth rate around n = 9 compared to n = 7 and n = 11. However, during the time evolution, which is only captured by the nonlinear workflow, high-n ballooning modes grow significantly stronger, resulting in the large growth rates for n > 20.…”
Section: Finding a Threshold For Pellet Elm Triggeringsupporting
confidence: 51%
“…Note that in the linear workflow the perturbation is fixed and profiles do not evolve. More details are found in [11] and appendix. In all cases, thresholds simulated by M3D-C1 successfully separate (within error bars) events where a pellet fails to trigger an ELM in the experiment from events where another pellet successfully triggers an ELM.…”
Section: Diii-d Experimental Threshold and Model Validationmentioning
confidence: 99%
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“…Therefore modeling of the pellet ELM triggering process and integrated ELM pacing scenarios will be increasingly important to understand how this process will extrapolate to next-step devices. The JOREK code has been used to estimate the distribution of ELM heat fluxes using non-linear MHD calculations [30,31], and the M3D-C1 code has been used to estimate the necessary pellet size to trigger an ELM in low collisionality, peeling-limited plasma conditions [39]. Detailed integrated simulations of pellet ELM-paced scenarios have demonstrated a reduction in ELM energy loss for pellet frequencies sufficiently faster than the natural ELM frequencies in JT-60SA [49], and have made estimates of the core performance enabled by pellet pacing in ITER under various assumptions [50].…”
Section: Discussionmentioning
confidence: 99%
“…When a pellet is injected, the stability determination becomes three dimensional, which is not handled properly by the ELITE code, and changes on a fast timescale relative to diagnostic frequencies. The naive expectation is that the operating point of the flux tube with an ablating pellet would shift to the right in figure 5(c), toward higher pressure gradients, but the high fidelity modeling of these dynamics is left to other studies [39].…”
Section: Pedestal Stability Analysismentioning
confidence: 99%