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Type I ELM filament heat fluxes on the KSTAR main chamber wallopen access

Authors
Bae, Min KeunPitts, RichardBak, Jun-GyoHong,Suk hoKim, Hee-suLee, HyunghoKang, In-jeChung, Kyusun
Issue Date
Aug-2017
Publisher
ELSEVIER
Citation
NUCLEAR MATERIALS AND ENERGY, v.12, pp.1259 - 1264
Indexed
SCOPUS
Journal Title
NUCLEAR MATERIALS AND ENERGY
Volume
12
Start Page
1259
End Page
1264
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151887
DOI
10.1016/j.nme.2017.04.006
ISSN
2352-1791
Abstract
Heat loads deposited on the first wall by mitigated Type I ELMs are expected to be the dominant contributor to the total thermal plasma wall load of the International Thermonuclear Experimental Reactor (ITER), particularly in the upper main chamber regions during the baseline H-mode magnetic equilibrium, due to the fast radial convective heat propagation of ELM filaments before complete loss to the divertor. Specific Type I ELMing H-mode discharges have been performed with a lower single null magnetic geometry, where the outboard separatrix position is slowly (∼7 s) scanned over a radial distance of 7 cm, reducing the wall probe–separatrix distance to a minimum of ∼9 cm, and allowing the ELM filament heat loss to the wall to be analyzed as a function of radial propagation distance. A fast reciprocating probe (FRP) head is separately held at fixed position toroidally close and 4.7 cm radially in front of the wall probe. This FRP monitors the ELM ion fluxes, allowing an average filament radial propagation speed, found to be independent of ELM energy, of 80–100 ms−1 to be extracted. Radial dependence of the peak filament wall parallel heat flux is observed to be exponential, with the decay length of λq, ELM ∼25 ± 4 mm and with the heat flux of q∥, ELM = 0.05 MWm−2 at the wall, corresponding to q∥ ∼ 7.5 MWm−2 at the second separatrix. Along with the measured radial propagation speed and the calculated radial profile of the magnetic connection lengths across the SOL, these data could be utilized to analyze filament energy loss model for the future machines.
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