Fluid and kinetic studies of tokamak disruptions using Bayesian optimization
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| Title: | Fluid and kinetic studies of tokamak disruptions using Bayesian optimization |
|---|---|
| Authors: | Ekmark, Ida, 1998, Hoppe, M., Fülöp, Tünde-Maria, 1970, Jansson, Patrik, 1972, Antonsson, Liam, 2002, Vallhagen, Oskar, 1997, Pusztai, Istvan, 1983 |
| Source: | Journal of Plasma Physics. 90(3) |
| Subject Terms: | plasma simulation, fusion plasma, runaway electrons |
| Description: | When simulating runaway electron dynamics in tokamak disruptions, fluid models with lower numerical cost are often preferred to more accurate kinetic models. The aim of this work is to compare fluid and kinetic simulations of a large variety of different disruption scenarios in ITER. We consider both non-activated and activated scenarios; for the latter, we derive and implement kinetic sources for the Compton scattering and tritium beta decay runaway electron generation mechanisms in our simulation tool Dream (Hoppe et al., Comput. Phys. Commun., vol. 268, 2021, 108098). To achieve a diverse set of disruption scenarios, Bayesian optimization is used to explore a range of massive material injection densities for deuterium and neon. The cost function is designed to distinguish between successful and unsuccessful disruption mitigation based on the runaway current, current quench time and transported fraction of the heat loss. In the non-activated scenarios, we find that fluid and kinetic disruption simulations can have significantly different runaway electron dynamics, due to an overestimation of the runaway seed by the fluid model. The primary cause of this is that the fluid hot-tail generation model neglects superthermal electron transport losses during the thermal quench. In the activated scenarios, the fluid and kinetic models give similar predictions, which can be explained by the significant influence of the activated sources on the runaway dynamics and the seed. |
| File Description: | electronic |
| Access URL: | https://research.chalmers.se/publication/542260 https://research.chalmers.se/publication/542260/file/542260_Fulltext.pdf |
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| Items | – Name: Title Label: Title Group: Ti Data: Fluid and kinetic studies of tokamak disruptions using Bayesian optimization – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ekmark%2C+Ida%22">Ekmark, Ida</searchLink>, 1998<br /><searchLink fieldCode="AR" term="%22Hoppe%2C+M%2E%22">Hoppe, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Fülöp%2C+Tünde-Maria%22">Fülöp, Tünde-Maria</searchLink>, 1970<br /><searchLink fieldCode="AR" term="%22Jansson%2C+Patrik%22">Jansson, Patrik</searchLink>, 1972<br /><searchLink fieldCode="AR" term="%22Antonsson%2C+Liam%22">Antonsson, Liam</searchLink>, 2002<br /><searchLink fieldCode="AR" term="%22Vallhagen%2C+Oskar%22">Vallhagen, Oskar</searchLink>, 1997<br /><searchLink fieldCode="AR" term="%22Pusztai%2C+Istvan%22">Pusztai, Istvan</searchLink>, 1983 – Name: TitleSource Label: Source Group: Src Data: <i>Journal of Plasma Physics</i>. 90(3) – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22plasma+simulation%22">plasma simulation</searchLink><br /><searchLink fieldCode="DE" term="%22fusion+plasma%22">fusion plasma</searchLink><br /><searchLink fieldCode="DE" term="%22runaway+electrons%22">runaway electrons</searchLink> – Name: Abstract Label: Description Group: Ab Data: When simulating runaway electron dynamics in tokamak disruptions, fluid models with lower numerical cost are often preferred to more accurate kinetic models. The aim of this work is to compare fluid and kinetic simulations of a large variety of different disruption scenarios in ITER. We consider both non-activated and activated scenarios; for the latter, we derive and implement kinetic sources for the Compton scattering and tritium beta decay runaway electron generation mechanisms in our simulation tool Dream (Hoppe et al., Comput. Phys. Commun., vol. 268, 2021, 108098). To achieve a diverse set of disruption scenarios, Bayesian optimization is used to explore a range of massive material injection densities for deuterium and neon. The cost function is designed to distinguish between successful and unsuccessful disruption mitigation based on the runaway current, current quench time and transported fraction of the heat loss. In the non-activated scenarios, we find that fluid and kinetic disruption simulations can have significantly different runaway electron dynamics, due to an overestimation of the runaway seed by the fluid model. The primary cause of this is that the fluid hot-tail generation model neglects superthermal electron transport losses during the thermal quench. In the activated scenarios, the fluid and kinetic models give similar predictions, which can be explained by the significant influence of the activated sources on the runaway dynamics and the seed. – Name: Format Label: File Description Group: SrcInfo Data: electronic – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/542260" linkWindow="_blank">https://research.chalmers.se/publication/542260</link><br /><link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/542260/file/542260_Fulltext.pdf" linkWindow="_blank">https://research.chalmers.se/publication/542260/file/542260_Fulltext.pdf</link> |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1017/S0022377824000606 Languages: – Text: English Subjects: – SubjectFull: plasma simulation Type: general – SubjectFull: fusion plasma Type: general – SubjectFull: runaway electrons Type: general Titles: – TitleFull: Fluid and kinetic studies of tokamak disruptions using Bayesian optimization Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ekmark, Ida – PersonEntity: Name: NameFull: Hoppe, M. – PersonEntity: Name: NameFull: Fülöp, Tünde-Maria – PersonEntity: Name: NameFull: Jansson, Patrik – PersonEntity: Name: NameFull: Antonsson, Liam – PersonEntity: Name: NameFull: Vallhagen, Oskar – PersonEntity: Name: NameFull: Pusztai, Istvan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00223778 – Type: issn-print Value: 14697807 – Type: issn-locals Value: SWEPUB_FREE – Type: issn-locals Value: CTH_SWEPUB Numbering: – Type: volume Value: 90 – Type: issue Value: 3 Titles: – TitleFull: Journal of Plasma Physics Type: main |
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