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Enhancing JET Hybrid Scenario Modeling with Integrated Core-Edge Approach

Explore the objectives, simulations, and results of EDGE2D/EIRENE simulations for JET hybrid scenarios. Determine recycling/gas puff constants in TRANSP for improved analysis. Develop core-edge transport modeling for hybrid scenarios by integrating data from EDGE2D, JETTO, and TRANSP. Validate edge modeling data with KL9ppf and Langmuire probes. Conduct EDGE2D simulations for hybrid shots 77922 and 79635 with varied parameters and particle sources. Analyze profiles, charge exchange, and divertor results to assess sensitivity to input power and transport adjustments.

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Enhancing JET Hybrid Scenario Modeling with Integrated Core-Edge Approach

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  1. Integrated core-edge modelling for JETHybrid scenario P. Belo, I. Voitsekhovitch

  2. outline • Objectives for the EDG2D/EIRENE simulations • EDGE2D/EIRENE simulations • Simulations results • Conclusions

  3. Objectives of EDGE2D simulations • Determine the recycling or gas puff normalisation constant in TRANSP to improve the interpretative analysis of particle transport (start to collect the database of EDGE2D runs) • Consistent core-edge transport modelling of hybrid scenarios - core transport modelling (Te, Ti, ne) with boundary conditions (neutral influx through the separatrix boundary temperature) taken from EDGE2D: - JETTO with Bohm-gyroBohm transport model (Luca) - TRANSP with EDGE2D neutral flux  TRANSP recalculated sources and losses  ASTRA/GLF23 (Irina)

  4. Data for EDGE2D R = Swall/(Swall+Snbi), Swall=Sgas(=0 for high ) + 10D (factor 10 comes from TFTR simulations) - parameters are estimated at a given time, averaged over 0.5 s (<>) - averaged values <> are estimated over the 0.5 s of the selected time window - 3rd line gives min and max values during the selected time window Data for edge modelling validation: KL9ppf (Te and thermal electron flux, G. Arnoux) - impossible, Langmuire probes (density and particle flux, Stefan Marsen) – in progress

  5. EDGE2D Simulations • Two hybrid shots were used 77922 and 79365 • The grid for these simulations included 8 cm in the plasma core to include the ETB and to have a better fit with the experimental data at the outer mid plane. • The input power for the ions electrons and the particle source were taken from the TRANSP simulations • EDGE2D was set to be feed back control on the inlet gas to an given ni(a). D2 D2

  6. EDGE2D simulations • The perpendicular transport is prescribed and varies in radius to include the reduced transport within the ETB • Carbon was included. The using the Roth/Pacher chemical sputtering model was used. The radial transport was assumed to be the same as Deuterium DC=DD i e i e

  7. EDGE2D results : 77922 • The profiles are at 47.9s 4.0e18 m-36.1e18 m-38.8e18 m-3 ne nC Ti Te Charge exchange HRTS profile is shifted outward by 1.5 cm (black)

  8. 77922: summary of EDGE2D runs to illustrate sensitivity D neutral flux = (Gin-Gout) [A] /1.67e-19 = (1/s)

  9. EDGE2D results : 79635 • The profiles are at 45.9s 5.0e18 m-36.7e18 m-37.08e18 m-3 ne nC Ti Te Charge exchange HRTS profile is shifted outward by 2.6 cm (black)

  10. EDGE2D divertor results : 79635 • The outer strike point is at the edge of tile 5. 5.0e18 m-36.7e18 m-37.08e18 m-3 MW/m2

  11. 79635: summary of EDGE2D runs Dalpha~3.e20 at this time step

  12. Conclusions • Some adjustments in power and transport had to be made in both pulses to fit the experimental data • The neutral flux is very small for the 77922 and significant for the pulse 79635. • The neutral flux varies significantly with the input power and slightly with the particle transport. • Some TRANSP runs were made with the new neutral fluxes • Some more pulses is necessary to make a reasonable conclusion on the dependency of the neutral flux on the transport and input power.

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