Highest fusion performance without harmful edge energy bursts in tokamak.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
11 May 2024
11 May 2024
Historique:
received:
25
10
2023
accepted:
29
04
2024
medline:
12
5
2024
pubmed:
12
5
2024
entrez:
11
5
2024
Statut:
epublish
Résumé
The path of tokamak fusion and International thermonuclear experimental reactor (ITER) is maintaining high-performance plasma to produce sufficient fusion power. This effort is hindered by the transient energy burst arising from the instabilities at the boundary of plasmas. Conventional 3D magnetic perturbations used to suppress these instabilities often degrade fusion performance and increase the risk of other instabilities. This study presents an innovative 3D field optimization approach that leverages machine learning and real-time adaptability to overcome these challenges. Implemented in the DIII-D and KSTAR tokamaks, this method has consistently achieved reactor-relevant core confinement and the highest fusion performance without triggering damaging bursts. This is enabled by advances in the physics understanding of self-organized transport in the plasma edge and machine learning techniques to optimize the 3D field spectrum. The success of automated, real-time adaptive control of such complex systems paves the way for maximizing fusion efficiency in ITER and beyond while minimizing damage to device components.
Identifiants
pubmed: 38734685
doi: 10.1038/s41467-024-48415-w
pii: 10.1038/s41467-024-48415-w
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3990Subventions
Organisme : U.S. Department of Energy (DOE)
ID : DE-AC52-07NA27344
Organisme : U.S. Department of Energy (DOE)
ID : DE-SC0022270
Organisme : U.S. Department of Energy (DOE)
ID : DE-AC02-09CH11466
Organisme : U.S. Department of Energy (DOE)
ID : DE-SC0020372
Organisme : U.S. Department of Energy (DOE)
ID : DE-AC05-00OR22725
Organisme : U.S. Department of Energy (DOE)
ID : DE-FG02-99ER54531
Organisme : U.S. Department of Energy (DOE)
ID : DE-SC0022272
Organisme : U.S. Department of Energy (DOE)
ID : DE-SC0019352
Organisme : U.S. Department of Energy (DOE)
ID : DE-FC02-04ER54698
Organisme : U.S. Department of Energy (DOE)
ID : DE-SC0024527
Informations de copyright
© 2024. The Author(s).
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