(TH/P8-35) Integrated Modelling Simulations of Toroidal Momentum Transport in Tokamaks

G. Bateman1), F.D. Halpern1), A.H. Kritz1), A.Y. Pankin1), T. Rafiq1), R.V. Budny2), D.C. McCune2), J. Kinsey3), I. Voitsekhovitch4), J. Weiland5)
 
1) Lehigh University, Bethlehem, PA, United States of America
2) Princeton Plasma Physics Laboratory, Princeton, NJ, United States of America
3) General Atomics, San Diego, CA, United States of America
4) EURATOM/UKAEA Fusion Association, Culham Science Centre, Abingdon, OXON, OX14 3DB, United Kingdom
5) Chalmers University of Technology and EURATOM-VR Association, Gothenburg, Sweden

Abstract.  Simulations of JET H-mode and hybrid discharges are carried out using the PTRANSP predictive integrated modeling code to compute the time evolution of the plasma toroidal rotation frequency profile as well as the temperature and current density profiles. Momentum and thermal transport coefficients are computed using the recently advanced Weiland model [1] together with a model for transport driven by electron temperature gradient (ETG) modes as well as neoclassical transport [2]. Corresponding simulations are also carried out using the GLF23 transport model [3] together with neoclassical transport. The new version of the Weiland transport model includes inward convection of momentum driven by the drift mode turbulence. Under appropriate conditions, additional momentum transport is driven by convection of ions. In neutral beam injected discharges, the source of torque in the plasma core is computed using the NUBEAM module [4]. Results of predictive simulations are compared with experimental data for H-mode and hybrid tokamak discharges over a wide range of injected torque per particle.

[1] J. Weiland et al., Phys. Plasmas 12, 012505 (2005); 12, 092509 (2005); 11, 3238 (2004); 33rd EPS Conference on Plasma Physics, 30I, P2.186 (2006); F.D. Halpern et al., Phys. Plasmas 15, 012304 (2008). [2] W.A. Houlberg et al., Phys. Plasmas 4, 3220 (1997). [3] R.E. Waltz et al., Phys. Plasmas 4, 2482 (1997). [4] A.Y. Pankin et al., Computer Phys. Commun. 159, 157 (2004).

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