The Divertor Tokamak Test facility (DTT) [1-3] is a D-shaped superconducting tokamak (R=2.14 m, a=0.65 m, BT≤6 T, Ip≤ 5.5 MA, pulse length ≤ 100 s, auxiliary heating ≤ 45 MW, W first wall and divertor), whose construction is starting in Frascati, Italy. Its main mission is to study the controlled exhaust of energy and particle from a fusion reactor, which is a top priority research item in the European Roadmap  towards thermonuclear fusion power production. This will be possible in DTT by achieving large PSEP/R values (where PSEP is the power flowing through the last closed magnetic surface) using 45 MW of auxiliary heating in a high performance machine characterised by high flexibility in the choice of the divertor and of the magnetic configurations. The characteristics of the machine will allow to address many ITER and DEMO relevant physics issues besides plasma wall interaction in a fusion relevant range of plasma parameters. The heating mix foresees the use of 170 GHz ECRH, 60-90 MHz ICRH and 400 keV negative ion beam injectors, with ECRH being the main system, although the precise sharing between the three systems has still to be optimised.
In order to help with the heating system definition, and to provide scenarios for the design of diagnostics and pellet injector, or for the evaluation of issues such as ripple losses or neutron shields, it is a key priority to achieve multi-channel integrated modelling of DTT scenarios based on state-of-art first principle quasi-linear transport models, whose reliability stems from an extensive validation work against experiments and high fidelity gyrokinetic simulations carried out within the EUROfusion and ITPA frameworks (see e.g. the recent overview  and references therein). It is also important that the integrated modelling results for some cases are validated against gyrokinetic simulations with the specific DTT parameters, to corroborate the validity of the reduced models in the particular case of DTT. In this paper, we summarise the first results of this activity, which extends the preliminary predictions reported in 1.
The integrated modelling of DTT has been carried out with the JINTRAC suite  and covers the region inside the separatrix, whilst the values of temperature and density at the separatrix are taken consistently with the scrape-off layer simulations described in 1. The pedestal has been determined with the EPED1 model  implemented in the Europed code , and core-edge coupling has been taken into account on an iterative basis. The pedestal density has been set to achieve a volume averaged density <ne>~ 0.43 nGW (Greenwald limit). The region in-side the top of the pedestal has been modelled using the QuaLiKiz  or the TGLF  turbulent transport models and NCLASS  for the neoclassical transport. The simulations pre-dict steady-state profiles of ion and electron temperature, density, rotation, current density, impurity (Ar, W) density, and calculate a self-consistent equilibrium starting from a fixed boundary taken from . The heating has been modelled self-consistently using PENCIL for NBI, PION for ICRH and GRAY for ECRH. SANCO  has been used to calculate impurity ionisation and recombination and radiation. The rotation has been predicted using a semi-empirical estimate of Prandtl and pinch numbers  due to numerical issues using the turbulent momentum transport from the quasi-linear models.
Fig.1 shows profiles obtained for the SN full power H-mode scenario with 32 MW ECRH, 15 MW NBI and 3 MW ICRH using QuaLiKiz for turbulent transport, which is mainly driven by ion-scale ITG/TEM. The strong central ECRH peaks Te far above Ti in the central part. Ions are rather stiff and Ti stays below Te also in most of the outer region, in spite of a large amount of thermal exchange power from electrons to ions. The ne profile is moderately peaked. A peaked rotation profile with central value of 50 krad/s does not provide a significant ExB stabilisation of the ion heat transport. Global plasma parameters are βN=1.6, τE=0.28s, total DD neutron rate~1.4 1017 s-1 (30% thermal). Total radiation is 15 MW. Both Ar and W show peaked profiles, with hints of W central accumulation, however a better treatment of W neoclassical transport using NEO  is in plan to check this prediction. In this simulation MHD has not been included, but some considerations on MHD stability will be discussed. Similar simulations for the half-power DAY1 heating configuration yield very similar profiles and double confinement time, which is also an indication of the high stiffness. Simulations with TGLF are being finalised with the latest release of the model , and differences between the predictions by the two models will be assessed against gyrokinetic simulations using GENE .
1 DTT interim design report (2019) https://www.dtt-project.enea.it/downloads/DTT_IDR_2019_WEB.pdf
2 Special Section of Fusion Engineering and Design Vol. 122, 2017, 253-294, e1-e25
 P.Martin et al., Proc. 46th EPS Conference on Plas-ma Physics, Milano, 2019, ECA Vol. 43C, O2.102
 A.J.H.Donné, Phil. Trans. R. Soc. A 377 20170432 (2019)
 P.Mantica et al., Plasma Physics Controlled Fusion, 62 014021 (2020)
 M.Romanelli et al., Plasma and Fusion Research, 9 3403023 (2014)
 P.B. Snyder et al., Phys. Plasmas 16 056118 (2009)
 S. Saarelma et al., Plasma Phys. Control. Fusion 60, 014042 (2018)
 J.Citrin et al., Plasma Phys. Control. Fusion 59, 124005 (2017)
 G.M.Staebler et al., Phys. Plasmas 23 062518 (2016)
 W A Houlberg et al., Phys. Plasmas 4 3230 (1997)
 R.Ambrosino et al.,Fusion Engineering and Design 146 1246 (2019)
 C.D. Challis et al., Nucl.Fusion 29 563 (1989)
 , L-G. Eriksson et al Nucl.Fusion 33 1037 (1993)
 D. Farina, Fusion Sci. Technol. 52, 154 (2007)
 L.Lauro Taroni et al., Proc. 21st EPS Conf. on Contr. Fus. and Plasma Phys. (Montpellier, 1994) 1, 102
 A.Peeters et al., Phys.Rev.Lett. 98, 265003 (2007)
 E. A. Belli and J.Candy, Plasma Phys. Control. Fusion, 50 95010 (2008)
 G.M.Staebler et al., to be presented at 47th EPS Conference on Plasma Physics, Sitges, 2020
 F.Jenko et al., Phys. Plasmas 7 1904 (2000)
|Affiliation||Institute for Plasma Science and Technology, National Research Council|
|Country or International Organization||Italy|