Validation of SOLPS-ITER simulations against the TCV-X21 reference case Article Swipe
Y.S. Wang
,
C. Colandrea
,
D.S. Oliveira
,
C. Theiler
,
H. Reimerdes
,
T. Body
,
D. Galassi
,
L. Martinelli
,
K. Lee
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1741-4326/ad3562
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1741-4326/ad3562
This paper presents a quantitative validation of Scrape-Off Layer Plasma Simulation-ITER (SOLPS-ITER) simulations against the TCV-X21 reference case and provides insights into the neutral dynamics and ionization source distribution in this scenario. TCV-X21 is a well-diagnosed diverted L-mode sheath-limited plasma scenario in both toroidal field directions, designed specifically for the validation of turbulence codes (Oliveira, Body et al 2022 Nucl. Fusion 62 096001). Five new, neutrals-related observables are added here to the extensive, publicly available TCV-X21 dataset. These are three deuterium Balmer lines in the divertor and neutral pressure measurements in the common and private flux regions. The quantitative agreement metric used in the validation is combined with the conjugate gradient method to approach the SOLPS-ITER input parameters that return the best overall agreement with the experiment. A proof-of-principle test of this method results in a modest improvement in the level-of-agreement; the shortcomings impacting the result and how to improve the methodology are discussed. Alternatively, a scan of the particle and heat diffusion coefficients shows an improvement of 10.4% in the level-of-agreement, approximately twice as high as that achieved by the gradient method. This result is found for an increased transport coefficient compared to what is usually used for TCV L-mode plasmas. The simulations further indicate that ∼65% of the total ionization occurs in the SOL, from which ∼70% in the divertor regions, despite being a sheath-limited regime, motivating the inclusion of self-consistent neutral models in future turbulence simulations on the path towards improved agreement with the experiment.
Related Topics
Concepts
Divertor
Plasma
Neutral beam injection
Physics
Deuterium
Metric (unit)
Neutral particle
Ionization
Computational physics
Toroid
Tokamak
Atomic physics
Nuclear physics
Ion
Operations management
Quantum mechanics
Economics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1741-4326/ad3562
- https://iopscience.iop.org/article/10.1088/1741-4326/ad3562/pdf
- OA Status
- diamond
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392935264
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392935264Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1741-4326/ad3562Digital Object Identifier
- Title
-
Validation of SOLPS-ITER simulations against the TCV-X21 reference caseWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-19Full publication date if available
- Authors
-
Y.S. Wang, C. Colandrea, D.S. Oliveira, C. Theiler, H. Reimerdes, T. Body, D. Galassi, L. Martinelli, K. LeeList of authors in order
- Landing page
-
https://doi.org/10.1088/1741-4326/ad3562Publisher landing page
- PDF URL
-
https://iopscience.iop.org/article/10.1088/1741-4326/ad3562/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://iopscience.iop.org/article/10.1088/1741-4326/ad3562/pdfDirect OA link when available
- Concepts
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Divertor, Plasma, Neutral beam injection, Physics, Deuterium, Metric (unit), Neutral particle, Ionization, Computational physics, Toroid, Tokamak, Atomic physics, Nuclear physics, Ion, Operations management, Quantum mechanics, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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34Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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