Zobraziť v EDS

Bayesian optimization of massive material injection for disruption mitigation in tokamaks

Uložené v:
Podrobná bibliografia
Názov: Bayesian optimization of massive material injection for disruption mitigation in tokamaks
Autori: Pusztai, Istvan, 1983, Ekmark, Ida, 1998, Bergström, H., Halldestam, P., Jansson, Patrik, 1972, Hoppe, M., Vallhagen, Oskar, 1997, Fülöp, Tünde-Maria, 1970
Zdroj: Skenande elektroner i fusionsplasmor Implementation of activities described in the Roadmap to Fusion during Horizon Europe through a joint programme of the members of the EUROfusion consortium Journal of Plasma Physics. 89(2)
Predmety: runaway electrons, fusion plasma, plasma simulation
Popis: A Bayesian optimization framework is used to investigate scenarios for disruptions mitigated with combined deuterium and neon injection in ITER. The optimization cost function takes into account limits on the maximum runaway current, the transported fraction of the heat loss and the current quench time. The aim is to explore the dependence of the cost function on injected densities, and provide insights into the behaviour of the disruption dynamics for representative scenarios. The simulations are conducted using the numerical framework Dream (Disruption Runaway Electron Analysis Model). We show that, irrespective of the quantities of the material deposition, multi-megaampere runaway currents will be produced in the deuterium-tritium phase of operations, even in the optimal scenarios. However, the severity of the outcome can be influenced by tailoring the radial profile of the injected material; in particular, if the injected neon is deposited at the edge region it leads to a significant reduction of both the final runaway current and the transported heat losses. The Bayesian approach allows us to map the parameter space efficiently, with more accuracy in favourable parameter regions, thereby providing us with information about the robustness of the optima.
Popis súboru: electronic
Prístupová URL adresa: https://research.chalmers.se/publication/535373
https://research.chalmers.se/publication/535373/file/535373_Fulltext.pdf
Databáza: SwePub
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://research.chalmers.se/publication/535373#
    Name: EDS - SwePub (s4221598)
    Category: fullText
    Text: View record in SwePub
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edsswe&genre=article&issn=00223778&ISBN=&volume=89&issue=2&date=20230101&spage=&pages=&title=Skenande elektroner i fusionsplasmor Implementation of activities described in the Roadmap to Fusion during Horizon Europe through a joint programme of the members of the EUROfusion consortium Journal of Plasma Physics&atitle=Bayesian%20optimization%20of%20massive%20material%20injection%20for%20disruption%20mitigation%20in%20tokamaks&aulast=Pusztai%2C%20Istvan&id=DOI:10.1017/S0022377823000193
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Pusztai%20I
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsswe
DbLabel: SwePub
An: edsswe.oai.research.chalmers.se.389b8a18.a7d9.494c.a062.53a808f1ed9d
RelevancyScore: 984
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 983.779541015625
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Bayesian optimization of massive material injection for disruption mitigation in tokamaks
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Pusztai%2C+Istvan%22">Pusztai, Istvan</searchLink>, 1983<br /><searchLink fieldCode="AR" term="%22Ekmark%2C+Ida%22">Ekmark, Ida</searchLink>, 1998<br /><searchLink fieldCode="AR" term="%22Bergström%2C+H%2E%22">Bergström, H.</searchLink><br /><searchLink fieldCode="AR" term="%22Halldestam%2C+P%2E%22">Halldestam, P.</searchLink><br /><searchLink fieldCode="AR" term="%22Jansson%2C+Patrik%22">Jansson, Patrik</searchLink>, 1972<br /><searchLink fieldCode="AR" term="%22Hoppe%2C+M%2E%22">Hoppe, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Vallhagen%2C+Oskar%22">Vallhagen, Oskar</searchLink>, 1997<br /><searchLink fieldCode="AR" term="%22Fülöp%2C+Tünde-Maria%22">Fülöp, Tünde-Maria</searchLink>, 1970
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>Skenande elektroner i fusionsplasmor Implementation of activities described in the Roadmap to Fusion during Horizon Europe through a joint programme of the members of the EUROfusion consortium Journal of Plasma Physics</i>. 89(2)
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22runaway+electrons%22">runaway electrons</searchLink><br /><searchLink fieldCode="DE" term="%22fusion+plasma%22">fusion plasma</searchLink><br /><searchLink fieldCode="DE" term="%22plasma+simulation%22">plasma simulation</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: A Bayesian optimization framework is used to investigate scenarios for disruptions mitigated with combined deuterium and neon injection in ITER. The optimization cost function takes into account limits on the maximum runaway current, the transported fraction of the heat loss and the current quench time. The aim is to explore the dependence of the cost function on injected densities, and provide insights into the behaviour of the disruption dynamics for representative scenarios. The simulations are conducted using the numerical framework Dream (Disruption Runaway Electron Analysis Model). We show that, irrespective of the quantities of the material deposition, multi-megaampere runaway currents will be produced in the deuterium-tritium phase of operations, even in the optimal scenarios. However, the severity of the outcome can be influenced by tailoring the radial profile of the injected material; in particular, if the injected neon is deposited at the edge region it leads to a significant reduction of both the final runaway current and the transported heat losses. The Bayesian approach allows us to map the parameter space efficiently, with more accuracy in favourable parameter regions, thereby providing us with information about the robustness of the optima.
– 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/535373" linkWindow="_blank">https://research.chalmers.se/publication/535373</link><br /><link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/535373/file/535373_Fulltext.pdf" linkWindow="_blank">https://research.chalmers.se/publication/535373/file/535373_Fulltext.pdf</link>
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsswe&AN=edsswe.oai.research.chalmers.se.389b8a18.a7d9.494c.a062.53a808f1ed9d
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1017/S0022377823000193
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: runaway electrons
        Type: general
      – SubjectFull: fusion plasma
        Type: general
      – SubjectFull: plasma simulation
        Type: general
    Titles:
      – TitleFull: Bayesian optimization of massive material injection for disruption mitigation in tokamaks
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Pusztai, Istvan
      – PersonEntity:
          Name:
            NameFull: Ekmark, Ida
      – PersonEntity:
          Name:
            NameFull: Bergström, H.
      – PersonEntity:
          Name:
            NameFull: Halldestam, P.
      – PersonEntity:
          Name:
            NameFull: Jansson, Patrik
      – PersonEntity:
          Name:
            NameFull: Hoppe, M.
      – PersonEntity:
          Name:
            NameFull: Vallhagen, Oskar
      – PersonEntity:
          Name:
            NameFull: Fülöp, Tünde-Maria
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
          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: 89
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Skenande elektroner i fusionsplasmor Implementation of activities described in the Roadmap to Fusion during Horizon Europe through a joint programme of the members of the EUROfusion consortium Journal of Plasma Physics
              Type: main
ResultId 1