Validation of a Large-Eddy Simulation Approach for Prediction of the Ground Roughness Influence on Wind Turbine Wakes

Abstract

The ability of high-fidelity computational fluid mechanics simulation to quantitatively predict the influence of ground roughness on the evolution of the wake of a three-bladed horizontal axis wind turbine model is tested by comparison with wind tunnel measurements. The approach consists of the implicit approximate deconvolution large-eddy simulation formulation of Hickel et al., (2006), that is, for the first time, combined with a wall-stress model for flow over rough surfaces and with the actuator line approach (ALM) for modeling of the rotor. A recycling technique is used for the generation of turbulent inflow that matches shear exponents α=0.16 (medium roughness) and α=0.32 (high roughness) and turbulence level of the reference experiments at hub height. Satisfactory agreement of the spectral content in simulation and experiment is achieved for a grid resolution of 27 cells per rotor radius. Except for minor differences due to neglecting nacelle and tower in the simulation the LES reproduces the shapes of mean flow and Reynolds stress profiles in the wake. The deviations between measurement and simulation are more prominent in a vertical cut plane through the rotor center than in a horizontal cut plane. Simulation and experiment deviate with respect to the roughness influence on the development of the wake width; however, the relative change of the maximum wake deficit and of the vertical wake center position due to changes in ground roughness is reproduced very well.

A Simple Model for Wake-Induced Aerodynamic Interaction of Wind Turbines

“…Other models like the dynamic wake meandering model [9], the Super Gaussian model [10], and its alternative forms [11], have also been introduced to enhance wake simulation accuracy. Beyond the physics-based approaches, newer models such as the curled wake model [12], its development for yaw conditions [13], subjected to veered inflow [14,15], and CFD-based models, including the actuator line [16], actuator disk [17], and large eddy simulation [18] models, have been developed to further improve the precision of wake modeling. Howland et al [19] developed a physics-based, data-assisted flow control model to predict the power-maximizing control strategy.…”