Back to Search Start Over

Modelling performed for predictions of fusion power in JET DTE2 : overview and lessons learnt

Authors :
Garcia, J.
Casson, F. J.
Frassinetti, Lorenzo
Gallart, D.
Garzotti, L.
Kim, H. -t.
Nocente, M.
Saarelma, S.
Auriemma, F.
Ferreira, J.
Gabriellini, S.
Ho, A.
Huynh, P.
Kirov, K. K.
Lerche, E.
Mantsinen, M. J.
Zotta, V. K.
Stancar, Z.
Taylor, D. M. A.
Van Eester, D.
Challis, C. D.
Contributors, J E T
Garcia, J.
Casson, F. J.
Frassinetti, Lorenzo
Gallart, D.
Garzotti, L.
Kim, H. -t.
Nocente, M.
Saarelma, S.
Auriemma, F.
Ferreira, J.
Gabriellini, S.
Ho, A.
Huynh, P.
Kirov, K. K.
Lerche, E.
Mantsinen, M. J.
Zotta, V. K.
Stancar, Z.
Taylor, D. M. A.
Van Eester, D.
Challis, C. D.
Contributors, J E T
Publication Year :
2023

Abstract

For more than a decade, an unprecedented predict-first activity has been carried in order to predict the fusion power and provide guidance to the second Deuterium-Tritium (D-T) campaign performed at JET in 2021 (DTE2). Such an activity has provided a framework for a broad model validation and development towards the D-T operation. It is shown that it is necessary to go beyond projections using scaling laws in order to obtain detailed physics based predictions. Furthermore, mixing different modelling complexity and promoting an extended interplay between modelling and experiment are essential towards reliable predictions of D-T plasmas. The fusion power obtained in this predict-first activity is in broad agreement with the one finally measured in DTE2. Implications for the prediction of fusion power in future devices, such as ITER, are discussed.<br />QC 20231108

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1428115042
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1088.1741-4326.acedc0