The Role of Alpha Particles in Turbulence Suppression and Confinement Enhancement in SPARC and future reactors
ORAL · Invited
Abstract
Nonlinear, global gyrokinetic simulations indicate that explicitly including alpha particles leads to a large improvement in confinement in burning plasma devices. This enhancement is primarily due to alpha-driven turbulence suppression, which amplifies zonal flows and reduces micro-instability levels. Consequently, fusion alpha heating increases by over 20%, resulting in a notable boost in the overall fusion gain Q.
Accurately predicting plasma performance is critical for optimizing confinement and ensuring reliable operation in next-generation fusion reactors. In this work, we present the first high-fidelity plasma performance predictions for SPARC, based on nonlinear, global gyrokinetic simulations using the GENE-Tango framework. The analysis focuses on the impact of fusion-born alpha particles on plasma confinement. By capturing the full turbulent spectrum—including both Alfvén eigenmodes and micro-instabilities—our simulations reveal the essential role of interactions between alpha-particle-driven Alfvén modes, micro-turbulence, and zonal flows. These nonlinear couplings are shown to significantly influence turbulent transport in the presence of alpha particles.
We offer a detailed analysis of the nonlinear, multiscale dynamics that govern burning plasmas—accounting for turbulence, profile evolution, and heating. This study represents the most comprehensive and high-fidelity simulation of a burning plasma to date. Additionally, we outline strategies to further exploit the beneficial effects of alpha particles, suggesting promising directions for optimizing confinement in future burning plasma experiments.
Accurately predicting plasma performance is critical for optimizing confinement and ensuring reliable operation in next-generation fusion reactors. In this work, we present the first high-fidelity plasma performance predictions for SPARC, based on nonlinear, global gyrokinetic simulations using the GENE-Tango framework. The analysis focuses on the impact of fusion-born alpha particles on plasma confinement. By capturing the full turbulent spectrum—including both Alfvén eigenmodes and micro-instabilities—our simulations reveal the essential role of interactions between alpha-particle-driven Alfvén modes, micro-turbulence, and zonal flows. These nonlinear couplings are shown to significantly influence turbulent transport in the presence of alpha particles.
We offer a detailed analysis of the nonlinear, multiscale dynamics that govern burning plasmas—accounting for turbulence, profile evolution, and heating. This study represents the most comprehensive and high-fidelity simulation of a burning plasma to date. Additionally, we outline strategies to further exploit the beneficial effects of alpha particles, suggesting promising directions for optimizing confinement in future burning plasma experiments.
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Presenters
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Alessandro Di Siena
Max-Planck-Institute for Plasma Physics (IPP Garching)
Authors
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Alessandro Di Siena
Max-Planck-Institute for Plasma Physics (IPP Garching)
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Pablo Rodriguez-Fernandez
MIT PSFC
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Nathan T Howard
Massachusetts Institute of Technology, MIT PSFC
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marco muraca
Massachusetts Institute of Technology
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Alejandro B Bañón Navarro
Max-Planck-Institute for Plasma Physics (IPP Garching), Max-Planck-Institute for Plasma Physics, Garching
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Tobias Görler
Max Planck Institute for Plasma Physics
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John C Wright
Massachusetts Institute of Technology, MIT
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Martin J Greenwald
Massachusetts Institute of Technology
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Frank Jenko
Max-Planck-Institute for Plasma Physics (IPP Garching)