K.L. van de Plassche J. Citrin C. Bourdelle Y. Camenen F. J. Casson V.I. Dagnelie F. Felici A. Ho JET Contributors
We present an ultrafast neural network (NN) turbulent tokamak transport model, QLKNN, for heat and particle fluxes. QLKNN is a surrogate model based on a database of 3 · 108 flux calculations of the quasilinear gyrokinetic transport model QuaLiKiz. To ensure accurate reproduction of the underlying model, we include known features of the…
Preprint PublishedM Marin J Citrin C Bourdelle Y Camenen F J Casson A Ho F Koechl M Maslov JET Contributors
Core turbulent particle transport with multiple isotopes can display observable differences in behaviour between the electron and ion particle channels. Experimental observations at JET with mixed H-D plasmas and varying NBI and gas-puff sources [M. Maslov et al., Nucl. Fusion 7 076022 (2018)] inferred source dominated electr…
Preprint PublishedF.J. Casson H. Patten C. Bourdelle S. Breton J. Citrin F. Koechl C. Angioni Y. Baranov R. Bilato E.A. Belli C.D. Challis G. Corrigan A. Czarnecka O. Ficker L. Frassinetti L. Garzotti M. Goniche J.P. Graves T. Johnson K. Kirov P. Knight E. Lerche M. Mantsinen J. Mylnar M. Sertoli M. Valisa
The evolution of the JET high performance hybrid scenario, including central accumulation of the tungsten (W) impurity, is reproduced with predictive multi-channel integrated modelling over multiple confinement times using first-principle based models. 8 transport channels are modelled predictively, with self-consistent sources, radiation and magne…
Preprint PublishedF.J. Casson H. Patten C. Bourdelle S. Breton J. Citrin F. Koechl C. Angioni Y. Baranov R. Bilato E. Belli C.D. Challis G. Corrigan A. Czarnecka O. Ficker L. Garzotti M. Goniche J.P. Graves T. Johnson K. Kirov P. Knight E. Lerche M. Mantsinen J. Mylnar M. Sertoli M. Valisa JET contributors
Preprint Published
A. Ho J. Citrin F. Auriemma C. Bourdelle F. J. Casson Hyun-Tae Kim P. Manas G. Szepesi H. Weisen JET Contributors
This paper outlines an approach towards improved rigour in tokamak turbulence transport model validation within integrated modelling. Gaussian process regression (GPR) techniques were applied for profile fitting during the preparation of integrated modelling simulations. This allows for rigourous sensitivity tests of prescribed initial and bound…
Preprint PublishedO. Linder J. Citrin G.M.D. Hogeweij C. Angioni C. Bourdelle F.J. Casson E. Fable A. Ho F. Koechl M. Sertoli the EUROfusion MST1 Team the ASDEX Upgrade Team
Neoclassical and turbulent heavy impurity transport in tokamak core plasmas are determined by main ion temperature, density and toroidal rotation profiles. Thus, in order to reproduce experimental behaviour of W accumulation, integrated modelling of main ion heat and particle transport is a vital prerequisite. For the first time, the quasilinear …
Preprint PublishedM. Maslov D. King E. Viezzer D. Keeling C. Giroud T. Tala A. Salmi M. Marin J. Citrin C. Bourdelle E. Solano JET contributors
Particle transport is of a great importance for understanding physics of tokamak plasmas and planning future experiments on larger machines such as ITER. The subject was intensively studied in the past, particularly in relation to density peaking and presence of anomalous inward particle convection in L- and H-mode. While in the L-mode case presenc…
Preprint PublishedS. Breton F.J. Casson C. Bourdelle J. Citrin Y. Baranov Y. Camenen C. Challis J. Garcia G. Corrigan L. Garzotti S. Henderson F. Koechl M. OMullane T. Puetterich M. Sertoli M. Valisa JET contributors
For the first time, over five confinement times, the self-consistent flux driven time evolution of heat, momentum transport and particle fluxes of electrons and multiple ions including Tungsten (W) is modeled within the integrated modeling platform JETTO [Romanelli M et al PFR 2014], using first principle-based codes : namely, QuaLiKiz [Bourd…
Preprint PublishedC. Bourdelle Y. Camenen J. Citrin M. Marin F.J. Casson F. Koechl M. Maslov
In Ion-Temperature-Gradient (ITG) driven turbulence, the resonance condition leads to ion particle turbulent transport coefficients significantly larger than electron particle turbulent transport coefficients. This is shown in non-linear gyrokinetic simulations and explained by an analytical quasilinear model. It is then illustrated by JETTO-QuaLi…
Preprint PublishedS. Breton F.J. Casson C. Bourdelle C. Angioni E. Belli Y. Camenen J. Citrin X. Garbet Y. Sarazin The JET contributors
Heavy impurities, such as tungsten (W), can exhibit strongly poloidally asymmetric density profiles in rotating or radio frequency heated plasmas. In the metallic environment of JET, the poloidal asymmetry of tungsten enhances its neoclassical transport up to an order of magnitude, so that neoclassical convection is expected to dominate over turbul…
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