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Title: Wall conditioning and ELM mitigation with boron nitride powder injection in KSTAR

Journal Article · · Nuclear Materials and Energy

Results from KSTAR powder injection experiments, in which tens of milligrams of boron nitride (BN) were dropped into low-power H-mode plasmas, show an improvement in wall conditions in subsequent discharges and, in some cases, a reduction or elimination of edge-localized modes (ELMs). Injected powder is distributed by the plasma flow and is deposited on the wall and, over the course of several discharges, was observed to gradually reduce recycling by 33%, and decrease both the ELM amplitude and frequency. This is the first demonstration of the use of BN for ELM mitigation. In all of these experiments, an Impurity Powder Dropper (IPD) was used to introduce precise, controllable amounts of the materials into ELMy H-mode KSTAR discharges. The plasma duration was between 10 s and 15 s, I p = 500 kA, B T = 1 . 8 T, P NBI = 1 . 6 MW, and P ECH = 0 . 6 MW. Plasma densities were between 2 and 3 × 1 0 19 m-3. In all cases, the pre-fill and startup gas-fueling was kept constant, suggesting that the decrease in baseline D α emission is in fact due to a reduction in recycling. The results presented herein highlight the viability of powder injection for intra-shot and between-shot wall conditioning

Research Organization:
Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
Sponsoring Organization:
USDOE; Ministry of Science, ICT and Future Planning of the Republic of Korea
Grant/Contract Number:
AC02-09CH11466
OSTI ID:
1822213
Journal Information:
Nuclear Materials and Energy, Vol. 28; ISSN 2352-1791
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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ELM Suppression by Boron Powder Injection and Comparison with Lithium Powder Injection on EAST journal October 2020
Wall conditioning and ELM mitigation with boron nitride powder injection in KSTAR dataset January 2022

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Wall conditioning and ELM mitigation with boron nitride powder injection in KSTAR dataset January 2022

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