When: Oct 25 2019 @ 4:00 PM
Where: Gilman Hall 132
Gilman Hall 132

4:10 pm Presentation
“Improving the Accuracy of Wind Farm LES using Filtered Actuator Disk Theory Corrections”
Presented by CARL SHAPIRO (Advisers: Profs. Meneveau & Gayme)
The utility of large eddy simulations (LES) of large wind farms that employ the actuator disk model (ADM) are limited by over-prediction of power that can exceed 10% at typical resolutions. Computational restrictions require spatial filtering of the actuator disk thrust force, which is distributed equally across the swept area of the rotor blades, resulting in an under-prediction of the shed vorticity. The filtered ADM, which models the wind turbine wake as concentric semi-infinite vortex cylinders, provides a basis for analytically correcting this error in simulation. When compared to simulations with various filter widths and grid sizes, the filtered ADM accurately predicts the power coefficient measured in simulations. An analytic correction factor is then derived from the filtered ADM that collapses the power coefficient measured in simulations onto the theoretical axial momentum theory predictions. This approach eliminates the need for highly refined numerical grids or empirical correction factors.

4:35 pm Presentation
“Lagrangian Particle Tracking and Bubble Dispersion in Intense Turbulence”
Presented by SHIYONG TAN (Adviser: Prof. Ni)
Gas bubbles and oil droplets tend to transport and mix with background intense turbulence in the ocean. Since transport dynamics is naturally studied in the Lagrangian framework, we developed an in-house particle tracking system to follow bubbles with size in the turbulence inertial sub-range. The reconstructed particle trajectories help to unveil the dispersion dynamics, both single bubble and pair dispersion. In addition, finite-sized bubbles are tracked concomitantly with a high-concentration of tracer particles using back illumination. I will discuss the challenge presented by this two-phase measurements. In particular, the possible issue of out-of-focus particles has been addressed by using synthetic datasets to evaluate the optical transfer function.