학술논문

A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors.
Document Type
Academic Journal
Author
Murari A; Consorzio RFX (CNR, ENEA, INFN, Università di Padova, Acciaierie Venete SpA), Corso Stati Uniti 4, Padova, Italy.; Istituto per la Scienza e la Tecnologia dei Plasmi, CNR, Padova, Italy.; Rossi R; University of Rome 'Tor Vergata', via del Politecnico 1, Roma, Italy.; Craciunescu T; National Institute for Laser, Plasma and Radiation Physics, Magurele-Bucharest, Romania.; Vega J; Laboratorio Nacional de Fusión, CIEMAT. Av. Complutense 40, Madrid, Spain.; Gelfusa M; University of Rome 'Tor Vergata', via del Politecnico 1, Roma, Italy. gelfusa@ing.uniroma2.it.
Source
Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: PubMed not MEDLINE; MEDLINE
Subject
Language
English
Abstract
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 disruption, with adaptive, from scratch, real time compatible techniques. The results indicate that physics based prediction and control tools can be developed, to deploy realistic strategies of disruption avoidance and prevention, meeting the requirements of the next generation of devices.
(© 2024. The Author(s).)