2004
DOI: 10.1007/bf03166378
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Influence of seeded impurities on the fusion reactor operation

Abstract: In order to study the influence of seeded impurities on ITER -like reactor operation the COREDIV code has been extended to include the transport of several sputtered and/or injected impurities. In the COREDIV code the core plasma is treated in the frame of 1D radial transport model whereas in the edge the 2D multifluid code EPIT is used. The EPIT code solves in the slab geometry the MHD equations for densities and velocities for all ions species as well as for electron and ion temperatures. The iteration schem… Show more

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Cited by 4 publications
(5 citation statements)
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“…In the core, the time-dependent transport equations are solved. For each time iteration in the core, several time steps (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) are performed in the SOL to adjust the edge parameters [4].…”
Section: Scrape-offmentioning
confidence: 99%
See 1 more Smart Citation
“…In the core, the time-dependent transport equations are solved. For each time iteration in the core, several time steps (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) are performed in the SOL to adjust the edge parameters [4].…”
Section: Scrape-offmentioning
confidence: 99%
“…Radiating scenarios have already been successfully demonstrated on present-day tokamaks, such as ASDEX [2] and the JET ITER like-wall (ILW) configuration [3]; however, it has to be checked if a similar approach is applicable for burning plasmas, self-heated by α-particles and with tungsten as the wall material. This paper describes integrated numerical modelling applied for the first time to DEMO discharges with a tungsten wall and argon/neon seeding using the COREDIV code [4,5], which self-consistently solves 1D radial energy and particle transport equations for plasma and impurities in the core region and 2D multifluid transport in the SOL. The model is selfconsistent with respect to both the effects of impurities on the α-power level and the interaction between seeded and intrinsic impurities.…”
Section: Introductionmentioning
confidence: 99%
“…In the core, the time dependent transport equations are solved. For each time iteration in the core, several time steps (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) are performed in the SOL to adjust the edge parameters [30].…”
Section: Scrape -Offmentioning
confidence: 99%
“…In the core, the time dependent transport equations are solved. For each time iteration in the core several time steps (10 -20) are performed in the SOL to adjust the edge parameters [12].…”
Section: Introduction and Physical Modelmentioning
confidence: 99%