Journal article · Conference paper
LES verification of HAWC2Farm aeroelastic wind farm simulations with wake steering and load analysis
Wind Energy Systems Division, Department of Wind and Energy Systems, Technical University of Denmark1
System Engineering and Optimization, Wind Energy Systems Division, Department of Wind and Energy Systems, Technical University of Denmark2
Department of Wind and Energy Systems, Technical University of Denmark3
Wind Turbine Design Division, Department of Wind and Energy Systems, Technical University of Denmark4
Aero- and Fluid Dynamics, Wind Turbine Design Division, Department of Wind and Energy Systems, Technical University of Denmark5
Wind farm simulation tools are used for a multitude of purposes, including energy yield calculations, wind farm control optimization, layout optimization, structural load analysis, and many more. However, the vast majority of farm software either fails to capture the dynamic nature of both the flow and the turbine structural response or demands a high computational cost such as large-eddy simulations (LES).
In this study, we present a new mid-fidelity aeroelastic wind farm simulation software, HAWC2Farm, which can perform dynamic wind farm computations at the same temporal and spatial resolution as LES using a fraction of the computational resources. Wind farm simulations are performed with wake steering, and statistics are verified with results from LES performed using Ellipsys3D.
| Language: | English |
|---|---|
| Publisher: | IOP Publishing |
| Year: | 2022 |
| Pages: | 022069 |
| Proceedings: | The Science of Making Torque from Wind 2022European Academy of Wind Energy : The Science of Making Torque from Wind |
| Series: | Journal of Physics: Conference Series |
| ISSN: | 17426596 and 17426588 |
| Types: | Journal article and Conference paper |
| DOI: | 10.1088/1742-6596/2265/2/022069 |
| ORCIDs: | Liew, Jaime , Juhl Andersen, Søren and Göçmen, Tuhfe |
