Assessment of potential heat flux overload of target and first wall components in Wendelstein 7-X finite-beta magnetic configurations and choice of locations for temperature monitoring

Bongioví, G.; Böckenhoff, D.; Carls, A.; Endler, M.; Fellinger, J.; Geiger, J.; Team, W X

doi:10.1016/j.fusengdes.2020.111902

Cited by 2 publications

(1 citation statement)

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“…These studies mainly limit themselves to the geometry and topology of the magnetic field, but do not investigate the interaction of the finite-beta magnetic topologies with the geometry of the wall and divertor. This study expands upon the previous works by coupling the HINT code ( [12,13]) to an anisotropic diffusion model to obtain predictions for heat deposition profiles on the PFCs through convective scrape-off layer heat transport simulations, similar to the work performed in [14] and recently in [15] for VMEC-EXTENDER (which used a convective field line diffusion approach).…”

Section: Introductionmentioning

confidence: 82%

Plasma beta effects on the edge magnetic field structure and divertor heat loads in Wendelstein 7-X high-performance scenarios

Knieps¹,

Suzuki²,

Geiger³

et al. 2021

Nucl. Fusion

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To support the scenario design for the upcoming longpulse high-performance campaign of Wendelstein 7-X, this work presents a study of high-beta full-field 3D equilibria obtained with the HINT code. For three magnetic configurations of different edge-iota, the effects of both overall pressure and pressure profile changes on the magnetic topology are analyzed. Anisotropic diffusion modeling is used to obtain estimates of the conductive heat load distribution both on the divertor and other plasma-facing components in finite-beta magnetic configurations. For the magnetic standard configuration, limitations of the model are outlined by comparing measured and predicted heatloads by performing a linear regression of the main strike-line position against various plasma parameters in both the experimental and the simulated device.

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Section: Introductionmentioning

confidence: 82%