Analysis of Alfvén eigenmode destabilization by energetic particles in Large Helical Device using a Landau-closure model

Varela, Jacobo Rodriguez; Spong, D. A.; Garcia, L.

doi:10.1088/1741-4326/aa5d04

Title: Analysis of Alfvén eigenmode destabilization by energetic particles in Large Helical Device using a Landau-closure model

Journal Article · Mon Mar 06 00:00:00 EST 2017 · Nuclear Fusion

DOI:https://doi.org/10.1088/1741-4326/aa5d04· OSTI ID:1376358

^[1]; Spong, D. A. ^[1]; Garcia, L. ^[2]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Univ. Carlos III de Madrid, Madrid (Spain)

Here, energetic particle populations in nuclear fusion experiments can destabilize the Alfvén Eigenmodes through inverse Landau damping and couplings with gap modes in the shear Alfvén continua. We use the reduced MHD equations to describe the linear evolution of the poloidal flux and the toroidal component of the vorticity in a full 3D system, coupled with equations of density and parallel velocity moments for the energetic particles. We add the Landau damping and resonant destabilization effects using a closure relation. We apply the model to study the Alfvén mode stability in the inward-shifted configurations of the Large Helical Device (LHD), performing a parametric analysis of the energetic particle β ($${{\beta}_{f}}$$ ) in a range of realistic values, the ratios of the energetic particle thermal/Alfvén velocities ($${{V}_{\text{th}}}/{{V}_{A0}}$$ ), the magnetic Lundquist numbers (S) and the toroidal modes (n). The n = 1 and n = 2 TAEs are destabilized, although the n = 3 and n = 4 TAEs are weakly perturbed. The most unstable configurations are associated with the density gradients of energetic particles in the plasma core: the TAEs are destabilized, even for small energetic particle populations, if their thermal velocity is lower than 0.4 times the Alfvén velocity. The frequency range of MHD bursts measured in the LHD are 50–70 kHz for the n = 1 and 60–80 kHz for the n = 2 TAE, which is consistent with the model predictions.

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Research Organization:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1376358

Journal Information:: Nuclear Fusion, Vol. 57, Issue 4; ISSN 0029-5515

Publisher:: IOP ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 22 works

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