Understanding and Predicting Profile Structure and Parametric Scaling of Intrinsic Rotation

P. H. Diamond University of California, San Diego, La Jolla, CA 92093, USA Abstract This paper reports on a recent advance in developing physical understanding and a firstprinciples-based model for predicting intrinsic rotation profiles in magnetic fusion experiments. It is shown for the first time that turbulent fluctuation-driven residual stress (a non-diffusive component of momentum flux) along with diffusive momentum flux can account for both the shape and magnitude of the observed intrinsic toroidal rotation profile. Both turbulence intensity gradient and zonal flow E × B shear are identified as major contributors to the generation of the k∥-asymmetry needed for the residual stress generation. The model predictions of core rotation based on global gyrokinetic simulations agree well with the experimental measurements of main ion toroidal rotation for a set of DIII-D ECH discharges. The validated model is further used to investigate the characteristic dependence of residual stress and intrinsic rotation profile structure on the multi-dimensional parametric space covering turbulence type, q-profile structure, and up-down asymmetry in magnetic geometry with the goal of developing the physics understanding needed for rotation profile control and optimization. It is shown that in flat-q profile regime intrinsic rotations driven by ITG and TEM turbulence are in opposite direction (i.e, intrinsic rotation reverses). The predictive model also produces reversed intrinsic rotation for plasmas with weak and normal shear q-profiles.