Predicted Behaviour of Helium in ITER by the Multi-Mode Transport Model

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Publication Details

Author listWisitsorasak, Apiwat; Promping, Jirapornc; Buangam, Wannapa; Onjun, Thawatchai; Poolyarat, Nopporn;

PublisherSpringer

Publication year2022

Volume number41

Issue number1

Start page1

End page16

Number of pages16

ISSN0164-0313

eISSN1572-9591

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85128587462&doi=10.1007%2fs10894-022-00317-9&partnerID=40&md5=f2ef7ca0e0433a910347634dc035ffaf

LanguagesEnglish-Great Britain (EN-GB)


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Abstract

Computer simulations of 1.5D BALDUR predictive transport code which is coupled with empirically predictive boundary models for the pedestal densities and temperatures are carried out to investigate the plasma characteristics in ITER with the helium environment. In each simulation, the transports of particles and energy in the confined volume are predicted by both neoclassical and anomalous transports in which the latter is based on multi-mode model. The boundaries of the confined plasma are defined at the top of the pedestal and the width of the pedestal is assumed to be fixed. The pedestal temperatures are predicted based on the magnetic and flow shear stabilization. The pedestal densities of hydrogenic and impurity particles are empirically determined from experimental data taken from the International Pedestal Database. Based on these boundary models, the simulations show that the amount of the helium content is 9.9%. The fusion gains predicted by the model is about 3.5. However, as the helium fraction increases to 18%, the fusion gains are further reduced to 1.0 due to the fuel dilution and increasing radiative power loss. Moreover, micro-instability analysis of the ITER plasmas for different level of the helium content is also explored. The results show that, as the amount of helium content increases, the ion-temperature gradient mode is stabilized due to the decrease of the temperature gradient. The trapped-electron mode is also reduced because of increasing the electron collisionality. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.


Keywords

ImpurityITERPredictive boundary


Last updated on 2023-26-09 at 07:37