Predictive multi-channel flux-driven modelling to optimise ICRH tungsten control and fusion performance in JET

Casson, F. J.; Patten, H.; Bourdelle, C.; Breton, S.; Citrin, J.; Koechl, F.; Sertoli, M.; Angioni, C.; Baranov, Y.; Bilato, R.; Belli, E. A.; Challis, C.; Corrigan, G.; Czarnecka, A.; Ficker, O.; Frassinetti, L.; Garzotti, L.; Goniche, M.; Graves, J. P.; Johnson, T.; Kirov, K.; Knight, P.; Lerche, E.; Mantsinen, M.; Mylnar, J.; Valisa, M.; Contributors, Jet

doi:10.1088/1741-4326/ab833f

Cited by 57 publications

(109 citation statements)

References 68 publications

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“…The normalized logarithmic ion temperature gradient passed to QuaLiKiz, R/L Ti , is multiplied by the ratio of the local thermal energy density over the local total energy density, W th /W tot . This simple ad-hoc model has been shown to consistently improve ITG predictions in high-β, high performance hybrid scenarios [51]. This ad hoc model, due to the large fraction of fast-ion pressure (∼ 25% in the D-beam heated pulses), also has a strong impact on the profiles for our cases.…”

Section: Sensitivitiesmentioning

confidence: 54%

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First-principles-based multiple-isotope particle transport modelling at JET

et al. 2020

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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 electron peaking, but transport dominated isotope peaking. In this work, we apply the QuaLiKiz quasilinear gyrokinetic transport model within JINTRAC flux-driven integrated modelling, for core transport validation in this multiple-isotope regime. The experiments are successfully reproduced, predicting self consistently j, ne, n Be , Te, T i , ωtor and the isotope composition. As seen in the experiments, both H and D profiles are predicted to be peaked regardless of the core isotope source. An extensive sensitivity study confirmed that this result does not depend on the specific choices made for the boundary conditions and physics settings. While kinetic profiles and electron density peaking did vary depending on the simulation parameters, the isotope ratio remained nearly invariant, and tied to the electron density profile. These findings have positive ramifications for multiple-isotope fuelling, burn control, and helium ash removal.

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Section: Sensitivitiesmentioning

confidence: 54%

“…These results provide confidence in predictive QuaLiKiz modelling in multi-isotope regimes, and extend the predictions to different machines or regimes, including the JET DT campaign. For example, this validation increases the confidence on the multipleisotope behaviour for the full-power DT extrapolation performed in [51,53].…”

Section: Discussionmentioning

confidence: 81%

First-principles-based multiple-isotope particle transport modelling at JET

et al. 2020

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“…To overcome the problem that the gas fuelling rate is not an optimal parameter to use, a third scaling law has been determined by replacing ΓD2 with ne sep /ne ped . Unfortunately, ne sep cannot be directly used because it is strongly correlated with the plasma current (see later, in expression 14). ne sep /ne ped is not an engineering parameter, but it might be estimated with SOL transport modelling.…”

Section: Pedestal Scalingsmentioning

confidence: 99%

“…The number of experimental data that are predicted correctly within ±20% increases from 64% to 69%, but the R 2 is reduced from 0.70 to 0.61 (see table 2). In expression (14) the fuelling rate has been replaced with the ratio ne sep /ne GW ,…”

Section: Pedestal Scalingsmentioning

confidence: 99%

Pedestal structure, stability and scalings in JET-ILW: the EUROfusion JET-ILW pedestal database

et al. 2020

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The EUROfusion JET-ILW pedestal database is described, with emphasis on three main issues. First, the technical aspects are introduced, including a description of the data selection, the datasets, the diagnostics used, the experimental and theoretical methods implemented and the main definitions. Second, the JET-ILW pedestal structure and stability are described. In particular, the work describes the links between the engineering parameters (power, gas and divertor configuration) and the disagreement with the peeling-ballooning (PB) model implemented with ideal MHD equations. Specifically, the work clarifies why the JET-ILW pedestal tends to be far from the PB boundary at high gas and high power, showing that a universal threshold in power and gas cannot be found but that the relative shift (the distance between the position of the pedestal density and of the pedestal temperature) plays a key role. These links are then used to achieve an empirical explanation of the behavior of the JET-ILW pedestal pressure with gas, power and divertor configuration. Third, the pedestal database is used to revise the scaling law of the pedestal stored energy. The work shows a reasonable agreement with the earlier Cordey scaling in terms of plasma current and triangularity dependence, but highlights some differences in terms of power and isotope mass dependence.

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“…Two cases are reported, without (magenta) and with (blue) the ad hoc correction for ITG EM stabilization discussed in Sect.6.1. From[35,60].…”

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confidence: 99%

Progress and challenges in understanding core transport in tokamaks in support to ITER operations

Mantica

Angioni

Bonanomi

et al. 2019

Plasma Phys. Control. Fusion

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Fusion performance in tokamaks depends on the core and edge regions as well as on their nonlinear feedbacks. The achievable degree of edge confinement under the constraints of power handling in presence of a metallic wall is still an open question. Therefore, any improvement in the core temperature and density peaking is crucial for achieving target performance. This has motivated further progress in understanding core turbulent transport mechanisms, to help scenario development in present devices and improve predictive tools for ITER operations. In the last two decades, detailed experiments and their interpretation via the gyrokinetic theory of turbulent transport have led to a satisfactory level of understanding of the heat, particle, and momentum transport channels and of their mutual interactions. This paper presents some highlights of the progress, which stems from joint work of several devices and theory groups, in Europe and worldwide within the ITPA (International Tokamak Physics Activities) framework. On the other hand, the achievement of predictive capabilities of plasma profiles via integrated modeling, which also accounts for the nonlinear interactions inherent to the multi-channel nature of transport, is a priority in view of ITER. This requires using faster, reduced models, and the extent to which they capture the complex physics described by nonlinear gyrokinetics must be carefully evaluated. Present quasi-linear models match well experiments in baseline scenarios, and thus offer reliable predictions for the ITER reference scenario, but have issues in advanced scenarios. Some of these challenges are examined and discussed. In the longer term, advances in high performance computing will continue to drive physics discovery through increasingly complex gyrokinetic simulations, allowing also further development of reduced models. The development of neural network surrogate models is another recent advance that bridges the gap towards physics-based fast models for optimisation and control applications.

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Predictive multi-channel flux-driven modelling to optimise ICRH tungsten control and fusion performance in JET

Cited by 57 publications

References 68 publications

First-principles-based multiple-isotope particle transport modelling at JET

First-principles-based multiple-isotope particle transport modelling at JET

Pedestal structure, stability and scalings in JET-ILW: the EUROfusion JET-ILW pedestal database

Progress and challenges in understanding core transport in tokamaks in support to ITER operations

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