Achievements
Achievements
2022KSTAR Research Center Integrated real-time RMP control for ELM-less H-mode in long pulse
| Research Achievements | Integrated real-time RMP control for ELM-less H-mode in long pulse | |
|---|---|---|
| Research Overview | - A study on integrated real-time RMP control for ELM-less H-mode operation in long pulse and enhancement of plasma confinement using real-time control technology based on artificial intelligence and RMP spectrum optimization | |
| Research Contents | - Development of adaptive control(controlling the magnitude and structure of the three-dimensional magnetic field in real time), machine learning algorithm(classifying plasma state and detecting L-H transition and applying RMP in real time), and RMP spectrum optimization technology(ERMP, Edge-localized RMP) | |
| Major Research Achievements |
- Qualitative results : Achieved a record long, 45 seconds, ELM control period and βN ∼ 2.65 RMP-driven ELM crash suppression, which is ∼10% enhanced plasma confinement compared to the previous record through ELM control experiments in long-pulse high-performance plasmas based on adaptive ELM control, machine learning algorithm, and 3D field optimization via an edge-localized RMP - Quantitative Products : Multiple presentations in international conferences including APS-DPP 2022 and publications in prestigious journals such as nuclear fusion* |
|
| Expectation Effect | - By providing the latest technology for ELM control in long-pulse high-performance plasmas as expected in next generation fusion reactors such as ITER and K-DEMO, KSTAR will have the world-class ELM control capability as one of its unique technologies for nuclear fusion | |
| Image |
 <Fig.> Comparison of plasma operations in 2021 (38 seconds) and 2022 (45 seconds) with AI-based real-time control technology and 3D magnetic field optimization |
|
보안문자를 입력 후 확인 버튼을 누르세요.