2022
DOI: 10.1088/1741-4326/aca4e3
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Energetic particle optimization of quasi-axisymmetric stellarator equilibria

Abstract: An important goal of stellarator optimization is to achieve good confinement of energetic particles such as, in the case of a reactor, alphas created by Deuterium-Tritium (D-T) fusion. In this work, a fixed-boundary stellarator equilibrium was re-optimized for energetic particle confinement via a two-step process: first, by minimizing deviations from quasiaxisymmetry (QA) on a single flux surface near the mid-radius, and secondly by maintaining this improved quasi-axisymmetry while minimizing the analytical qu… Show more

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Cited by 6 publications
(16 citation statements)
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“…If considering configurations within the same class, Γ α and Γ c appear to have better correlations with GC confinement. Good correlation has been observed for a set of QA equilibria close to li383 [72] as well as for W7-X configurations [1].…”
Section: Drift-convective Transportmentioning
confidence: 77%
See 1 more Smart Citation
“…If considering configurations within the same class, Γ α and Γ c appear to have better correlations with GC confinement. Good correlation has been observed for a set of QA equilibria close to li383 [72] as well as for W7-X configurations [1].…”
Section: Drift-convective Transportmentioning
confidence: 77%
“…The Γ c metric averages |γ c | 2 over velocity space [21,33] in order to quantify the misalignment of flux surfaces and J surfaces. Optimization including Γ c has successfully improved confinement in QH [54] and QA [72] configurations. However, the existence of DC orbits does not always indicate prompt losses.…”
Section: Drift-convective Transportmentioning
confidence: 99%
“…2021; LeViness et al. 2023), classifiers presented here are based on real orbits retaining their actual radial widths which can be compatible with plasma radius (see Albert et al. 2022; Landreman & Paul 2022) and, more importantly, bounce phases.…”
Section: Discussionmentioning
confidence: 94%
“…In contrast to alpha particle confinement metrics based on the bounce-averaged motion (Gori et al 1996;Nemov et al 2005;Velasco et al 2021;LeViness et al 2023), classifiers presented here are based on real orbits retaining their actual radial widths which can be compatible with plasma radius (see Albert et al 2022;) and, more importantly, bounce phases. Therefore, they naturally take into account drift-orbit resonances which may lead to chaotization of the orbits and respective additional losses.…”
Section: Discussionmentioning
confidence: 94%
“…2021; LeViness et al. 2022; Paul et al. 2022), but relatively little has been studied with respect to AE-driven transport.…”
Section: Introductionmentioning
confidence: 99%