SNUEI

A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors

2024 · Nature Communications

저자

Andrea Murari, Riccardo Rossi, T. Craciunescu, Jesús Vega, JET Contributors, J. Mailloux, N. Abid, K. Abraham, Paulo Abreu, O. Adabonyan, P. Adrich, V. Afanasev, M. Afzal, Tommy Ahlgren, L. Aho-Mantila, N. Aiba, Markus Airila, Mr. Md Sohel Akhtar, R. Albanese, M. Alderson-Martin, Daniel Alegre, S. Aleiferis, A. Aleksa, A. Albertazzi G., Edoardo Alessi 외 75명

연구주제

Magnetic confinement fusion research

NTIS 과학기술표준분류

에너지/자원만에너지·환경·원자력 확장

지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.

AI 연구 키워드·방법

disruption avoidance 토카막 붕괴 예측

키워드 (OpenAlex)

tokamak disruptions disruption prediction disruption avoidance proximity sensing real-time control JET tokamak deuterium-tritium plasma fusion plasma confinement

초록

The objective of thermonuclear fusion consists of producing electricity from the coalescence of light nuclei in high temperature plasmas. The most promising route to fusion envisages the confinement of such plasmas with magnetic fields, whose most studied configuration is the tokamak. Disruptions are catastrophic collapses affecting all tokamak devices and one of the main potential showstoppers on the route to a commercial reactor. In this work we report how, deploying innovative analysis methods on thousands of JET experiments covering the isotopic compositions from hydrogen to full tritium and including the major D-T campaign, the nature of the various forms of collapse is investigated in all phases of the discharges. An original approach to proximity detection has been developed, which allows determining both the probability of and the time interval remaining before an incoming disrup…

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교수 1

나용수

연구주제 1

Magnetic confinement fusion research

키워드 1

토카막 붕괴 예측