2018
DOI: 10.1088/1361-6587/aace8b
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Scrape-off layer power fall-off length from turbulence simulations of ASDEX Upgrade L-mode

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Cited by 14 publications
(32 citation statements)
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“…On the theory side, different models [13][14][15] and simulation codes [16][17][18][19][20][21][22] have been derived/employed to understand the underlying physics of the λq scaling. The heuristic driftbased model proposed by Goldston [13] is very successful to explain the Eich scaling and gives insight on the scaling difference of λq between the inner and outer divertors [12,23].…”
Section: Introductionmentioning
confidence: 99%
“…On the theory side, different models [13][14][15] and simulation codes [16][17][18][19][20][21][22] have been derived/employed to understand the underlying physics of the λq scaling. The heuristic driftbased model proposed by Goldston [13] is very successful to explain the Eich scaling and gives insight on the scaling difference of λq between the inner and outer divertors [12,23].…”
Section: Introductionmentioning
confidence: 99%
“…(19) in the scan where C neoc,corr is fixed, meaning that q 95 influences the SOL power width mostly through the parallel heat transports. Since q 95 / B À1 p , this result indicates that the scaling dependence on the poloidal magnetic field (or the plasma current) for the SOL power width scalings is essentially the scaling dependence on the ballooning length, which might explain why simulation codes 17,19,21,22 with different radial heat transports but similar formulation of the parallel heat transports can reproduce the inverse scaling dependence on the poloidal magnetic field. In this sense, the numerical scaling that is dependent on the ballooning length is proposed as [see also Fig.…”
Section: Interpretation Of the Numerical Scalingmentioning
confidence: 92%
“…21 Besides these 3D codes, the 2D turbulence code, HESEL (hot edge-SOL electrostatic), has also been utilized to reproduce the AUG L-mode scaling [no temperature dependence, see Eq. (15) 7,22 Benefiting from the first-principles perpendicular transports and the low computation time of the HESEL model, a numerical scaling that is dependent on the safety factor at the LCFS q 95 , the electron density at the last closed flux surface (LCFS) n e,LCFS , and the electron temperature at the LCFS T e,LCFS has been proposed for L-mode plasmas 22 k q ¼ 4:7460:92 ð Þ q 0:8660:05…”
Section: Introductionmentioning
confidence: 99%
“…We realize that the diffusion model in ( 13) fails at ν ≤ 10ν ,ref , whereas it seems to reproduce the trend for ν ≥ 100ν ,ref . A weak dependence of the λ q against ν has been pointed out as well in thorough multi-machine experimental comparison [89] and in recent theoretical based on turbulent transport theory [90].It should be noted that λ q is strongly dependent from plasma parameters [91][92][93][94][95] which in turn are influenced by the variations of ν . This might reflect into changes of SOL width which are not taken into account in the simple estimate we made.…”
Section: Sol Widthmentioning
confidence: 80%