Performance prediction applying different reduced turbulence models to the SMART tokamak Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1088/1741-4326/ad8a70
The SMall Aspect Ratio Tokamak (SMART) is currently being commissioned at the University of Seville and will be able to compare the performance of positive and negative triangularity plasmas at low aspect ratio. Predictive simulations have been performed for different machine scenarios and heating schemes using the TRANSP code. The objectives of these simulations are to predict the parameters expected in positive triangularity plasmas, to guide diagnostic development, and to validate transport models. Several reduced turbulence models have been used to predict electron and ion temperatures for the operational phase 2. All models provide similar results from approximately mid-radius to the separatrix but important discrepancies are found in the core region. These positive triangularity results are compared with experiments from a similar size machine like GLOBUS-M2. The multi-mode model (MMM) shows the best agreement. Simulations with different boundary conditions have been performed and no strong differences have been observed between them. The impact of neutral beam injection (NBI) on the predicted profiles has also been addressed. Rotation reduces turbulence levels so higher temperatures are achieved when included in the simulations. Studying the different contributions to the thermal diffusivities, it is observed that electron temperature gradient (ETG) turbulence dominates at the plasma core while micro-tearing modes (MTM) dominate at the edge in the electron channel. In the ion channel, the neoclassical contribution is dominant at the core and at the very edge while the Weiland component, which includes ion temperature gradient mode (ITG), trapped electron mode (TEM), kinetic ballooning mode (KBM), peeling mode (PM) and collisionless and collision dominated magnetohydrodynamic (MHD) modes governs the mid-radius region. For phase 3, two plasmas with different electron densities have been studied. The case with lower density matches well a specific discharge of GLOBUS-M2. The higher density plasma shows high performance with .
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1741-4326/ad8a70
- OA Status
- diamond
- Cited By
- 5
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403670777
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403670777Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1741-4326/ad8a70Digital Object Identifier
- Title
-
Performance prediction applying different reduced turbulence models to the SMART tokamakWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-23Full publication date if available
- Authors
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D. J. Cruz-Zabala, M. Podestá, F. M. Poli, S. Kaye, M. García-Muñoz, E. Viezzer, J.W. BerkeryList of authors in order
- Landing page
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https://doi.org/10.1088/1741-4326/ad8a70Publisher landing page
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- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1741-4326/ad8a70Direct OA link when available
- Concepts
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Tokamak, Turbulence, Spherical tokamak, Plasma, Electron temperature, Tearing, Physics, Collisionality, Computational physics, RADIUS, Electron, Atomic physics, BETA (programming language), Ion, Neutral beam injection, Aspect ratio (aeronautics), Mechanics, Thermodynamics, Nuclear physics, Computer science, Quantum mechanics, Programming language, Computer security, OptoelectronicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
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2025: 4, 2024: 1Per-year citation counts (last 5 years)
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40Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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