Reliable algorithms for disruption avoidance and prediction are foreseen to play a fundamental role in the JET control system for the successful operation of the machine in the upcoming deuterium-Tritium campaigns. The integration of such algorithms is expected to be a key part also in the implementation of the ITER plasma control system. So far, most of the effort has been devoted to the prediction of disruptions, which is required to mitigate the effects of these transient events, protecting the integrity of in-vessel components. Nevertheless, in order to put in place recover strategies or to have the possibility of a soft landing for the plasma current, the paradigm must be shifted to avoiding disruptions. In this paper, plasma profile-based indicators will be statistically analyzed showing their potential in such a perspective, where warning times and reliability of detection are crucial.

A First Analysis of JET Plasma Profile-Based Indicators for Disruption Prediction and Avoidance

Murari A;
2018

Abstract

Reliable algorithms for disruption avoidance and prediction are foreseen to play a fundamental role in the JET control system for the successful operation of the machine in the upcoming deuterium-Tritium campaigns. The integration of such algorithms is expected to be a key part also in the implementation of the ITER plasma control system. So far, most of the effort has been devoted to the prediction of disruptions, which is required to mitigate the effects of these transient events, protecting the integrity of in-vessel components. Nevertheless, in order to put in place recover strategies or to have the possibility of a soft landing for the plasma current, the paradigm must be shifted to avoiding disruptions. In this paper, plasma profile-based indicators will be statistically analyzed showing their potential in such a perspective, where warning times and reliability of detection are crucial.
2018
Istituto gas ionizzati - IGI - Sede Padova
Inglese
46
7
2691
2698
8
https://ieeexplore.ieee.org/document/8383700/
Sì, ma tipo non specificato
Disruption avoidance
disruption predictio
operational space mapping
plasma profiles
http://www.scopus.com/inward/record.url?eid=2-s2.0-85048570389&partnerID=q2rCbXpz / Electronic ISSN: 1939-9375 / This work has been carried out within the framework of the EUROfusion Consortium.
1
info:eu-repo/semantics/article
262
Pau A.; Fanni A.; Cannas B.; Carcangiu S.; Pisano G.; Sias G.; Sparapani P.; Baruzzo M.; Murari A.; Rimini F.; Tsalas M.; De Vries P.C.
01 Contributo su Rivista::01.01 Articolo in rivista
none
   Implementation of activities described in the Roadmap to Fusion during Horizon 2020 through a Joint programme of the members of the EUROfusion consortium
   EUROfusion
   H2020
   633053
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/348172
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