• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Study of maintaining a steady burning plasma using a unified method of fluid and kinetic pictures

Research Project

Project/Area Number 17K07001
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Nuclear fusion studies
Research InstitutionKyoto University (2021)
National Institutes for Quantum and Radiological Science and Technology (2017-2020)

Principal Investigator

Honda Mitsuru  京都大学, 工学研究科, 教授 (90455296)

Project Period (FY) 2017-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2020: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2019: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2018: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Keywords流体型輸送コード / トカマク / 新古典輸送 / 大域的最適化 / ニューラルネットワークモデル / 不純物輸送 / 統合シミュレーション / 準線形乱流輸送モデル / 流体型輸送方程式 / 運転シナリオ開発 / アルファ加熱 / 深層学習 / 代理モデル / 統合モデル / ペデスタル / 両極性輸送 / 大域的最適化手法 / 機械学習 / 人工ニューラルネットワーク / ハイパーパラメータ最適化 / 硬い輸送モデル / MPMD / JT-60U / ジャイロ流体モデル / 非両極性輸送 / 中性粒子ビーム入射 / 運動論コード / 径電場 / 乱流輸送 / フラックスマッチング / 磁束消費 / プラズマ・核融合 / シミュレーション工学
Outline of Final Research Achievements

The fluid-type transport code TASK/TX was used to study magnetic flux consumption and was extended to handle impurity particles. The TRESS+GKV code, which integrates fluid and kinetic methods, was restructured in MPMD to greatly improve readability and maintainability. A novel transport code GOTRESS was developed using global optimization methods with extremely high numerical stability. Taking advantage of its high affinity with deep learning methods, we succeeded in building a surrogate model for a transport model. A novel integrated model GOTRESS+ with GOTRESS as its core was developed, which contributed to the development of operating scenarios in JT-60SA.

Academic Significance and Societal Importance of the Research Achievements

大型核融合装置で持続的な核融合反応をもたらす高温プラズマを維持するための複数の課題に、様々な手法で取り組んだ。不純物によるプラズマ冷却問題に取り組むためのプログラム開発や大型装置における運転シナリオを開発するためのプログラム開発などを行った。現在実験開始の直前段階にある大型核融合実験装置JT-60SAの定量的な予測を行ったほか、将来装置の安定した核燃焼プラズマの維持・制御に向けた能力の拡充を行った。

Report

(6 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Research-status Report
  • 2019 Research-status Report
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (23 results)

All 2021 2020 2019 2018 2017

All Journal Article (6 results) (of which Peer Reviewed: 6 results,  Open Access: 1 results) Presentation (17 results) (of which Int'l Joint Research: 10 results,  Invited: 3 results)

  • [Journal Article] Development of a Surrogate Turbulent Transport Model and Its Usefulness in Transport Simulations2021

    • Author(s)
      HONDA Mitsuru、NARITA Emi
    • Journal Title

      Plasma and Fusion Research

      Volume: 16 Issue: 0 Pages: 2403002-2403002

    • DOI

      10.1585/pfr.16.2403002

    • NAID

      130007994306

    • ISSN
      1880-6821
    • Year and Date
      2021-02-10
    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Development of a novel integrated model GOTRESS+ for predictions and assessment of JT-60SA operation scenarios including the pedestal2021

    • Author(s)
      Honda M.、Aiba N.、Seto H.、Narita E.、Hayashi N.
    • Journal Title

      Nuclear Fusion

      Volume: 61 Issue: 11 Pages: 116029-116029

    • DOI

      10.1088/1741-4326/ac2639

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Machine-learning assisted steady-state profile predictions using global optimization techniques2019

    • Author(s)
      Honda M.、Narita E.
    • Journal Title

      Physics of Plasmas

      Volume: 26 Issue: 10 Pages: 102307-102307

    • DOI

      10.1063/1.5117846

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Journal Article] Application of genetic algorithms to modelings of fusion plasma physics2018

    • Author(s)
      Honda Mitsuru
    • Journal Title

      Computer Physics Communications

      Volume: 231 Pages: 94-106

    • DOI

      10.1016/j.cpc.2018.04.025

    • Related Report
      2018 Research-status Report
    • Peer Reviewed
  • [Journal Article] Volt-second balance with the toroidal magnetic flux based on Poynting’s theorem in tokamaks2018

    • Author(s)
      M. Honda
    • Journal Title

      Nuclear Fusion

      Volume: 58 Issue: 2 Pages: 026006-026006

    • DOI

      10.1088/1741-4326/aa9869

    • NAID

      130007648971

    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Journal Article] Effects of the applied magnetic fields with various toroidal phase differences on the neoclassical toroidal viscosity in JT-60SA2018

    • Author(s)
      M. Honda, S. Satake, Y. Suzuki, G. Matsunaga, K. Shinohara, N. Aiba, M. Yoshida, S. Ide
    • Journal Title

      Nuclear Fusion

      Volume: 58

    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Presentation] Development of a novel integrated model GOTRESS+ for predictions and assessment of JT-60SA operation scenarios including the pedestal2021

    • Author(s)
      M. Honda, N. Aiba, H. Seto, E. Narita, N. Hayashi
    • Organizer
      28th IAEA Fusion Energy Conference
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Development of the framework to cope with advanced transport models using parallel computing and deep learning techniques2021

    • Author(s)
      M. Honda, E. Narita
    • Organizer
      9th Asia-Pacific Transport Working Group (APTWG) Meeting & US-EU Transport Task Force Workshop
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A deep-learning approach to analyze wavenumber-space images of gyrokinetic simulations for faster calculations2021

    • Author(s)
      M. Honda, E. Narita, S. Maeyama, T.-H. Watanabe
    • Organizer
      5th Asia Pacific Conference on Plasma Physics (AAPPS-DPP2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] TASK/TXの不純物輸送モデリング2021

    • Author(s)
      本多充、本間裕貴、松山顕之
    • Organizer
      第38回プラズマ・核融合学会年会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 統合モデルGOTRESS+へのEPED1モデルの結合とJT-60SA運転シナリオ開発2020

    • Author(s)
      本多充、相羽信行、瀬戸春樹、成田絵美、林伸彦
    • Organizer
      日本物理学会 2020年秋季大会
    • Related Report
      2020 Research-status Report
  • [Presentation] Development of a surrogate turbulent transport model and its usefulness in transport simulations2020

    • Author(s)
      M. Honda, E. Narita
    • Organizer
      The 29th International Toki Conference on Plasma and Fusion Research
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] TASK/TXの不純物輸送モデリングと両極性輸送2020

    • Author(s)
      本多充、矢本昌平、福山淳
    • Organizer
      第37回プラズマ・核融合学会年会
    • Related Report
      2020 Research-status Report
  • [Presentation] Fast computation of the steady-state transport solver GOTRESS assisted by a deep neural network modeling2019

    • Author(s)
      M. Honda, E. Narita
    • Organizer
      2nd International Conference on Data Driven Plasma Science
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Integrated code framework for operation scenario development with the global-optimizer-based iterative solver GOTRESS2019

    • Author(s)
      M. Honda, E. Narita, N. Hayashi
    • Organizer
      46th EPS Conference on Plasma Physics
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] 機械学習法を用いたGOTRESSシミュレーションの高速化2019

    • Author(s)
      本多充、成田絵美
    • Organizer
      第36回プラズマ・核融合学会年会
    • Related Report
      2019 Research-status Report
  • [Presentation] Prediction of kinetic profiles using a new transport solver based on global optimization techniques2018

    • Author(s)
      M. Honda, S. Ide, E. Narita, N. Hayashi
    • Organizer
      45th EPS Conference on Plasma Physics
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] 統合モデルの核としてのフラックスマッチングコードGOTRESSの進展2018

    • Author(s)
      本多充、成田絵美、林伸彦
    • Organizer
      第35回プラズマ・核融合学会年会
    • Related Report
      2018 Research-status Report
  • [Presentation] 中性粒子ビーム入射直後の非両極性輸送とトルクの生成について2018

    • Author(s)
      本多充、神谷健作、篠原孝司、福山淳
    • Organizer
      第74回日本物理学会年次大会
    • Related Report
      2018 Research-status Report
  • [Presentation] ポインティングの定理に基づくトカマクのトロイダル磁束を考慮した磁束消費バランス2018

    • Author(s)
      本多充
    • Organizer
      第73回日本物理学会年次大会
    • Related Report
      2017 Research-status Report
  • [Presentation] Effects of the applied magnetic field phasing on the neoclassical toroidal viscosity and toroidal rotation in JT-60SA2017

    • Author(s)
      M. Honda, S. Satake, Y. Suzuki, G. Matsunaga, K. Shinohara, M. Yoshida, S. Ide
    • Organizer
      16th International Workshop on H-mode Physics and Transport Barriers
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] APPLICATION OF GENETIC ALGORITHMS TO MODELINGS OF PLASMA PHYSICS2017

    • Author(s)
      M. Honda
    • Organizer
      The 25th International Conference on Numerical Simulation of Plasmas (ICNSP 2017)
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] Progress of the integrated transport modeling including the radial electric field and plasma rotation in tokamak2017

    • Author(s)
      M. Honda, N. Hayashi, S. Satake, Y. Suzuki, K. Shinohara, E. Narita, N. Aiba, M. Nakata, A. Fukuyama
    • Organizer
      Plasma Conference 2017
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research / Invited

URL: 

Published: 2017-04-28   Modified: 2023-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi