Wind Turbine Aerofoil CFD Simulation Data from Danish Energy Project

5.4 GB of computational fluid dynamics (CFD) simulation outputs from the LERCat project funded by the Danish Energy Council. The data includes 2D and 3D simulations of clean, rough, and eroded aerofoils, with aerodynamic coefficients provided in a CSV file and a nested Python dictionary containing all CFD outputs in a pickle file. The project was a collaboration between DTU Wind and major wind energy companies including Vestas and Siemens Gamesa.

Use Cases

• Train regression models to predict aerodynamic coefficients from surface mesh data for eroded aerofoils.
• Analyze the impact of erosion topography on integral aerodynamic coefficients across different simulation conditions.
• Use the provided pickle file's nested dictionary structure to programmatically access and visualize 2D and 3D surface data.
• Benchmark CFD simulation results for clean versus rough aerofoil configurations using the provided polar data.

Strengths

• Includes both raw and processed erosion topographies evaluated during the project.
• Provides data in multiple accessible formats: a CSV for coefficients, a pickle file for all outputs, and a Jupyter notebook for demonstration.
• Results from a collaborative industry-academia project involving major wind energy firms like Vestas and Siemens Gamesa.

Limitations

• The dataset's internal structure and specific row/column counts for simulation runs are not explicitly documented in the input.
• Requires familiarity with CFD concepts, Python, and specific libraries to interact with the pickle file and notebook effectively.
• As a static research output, the data may not be updated with new simulations or erosion models.

Provenance

Source

Alexander Meyer Forsting via figshare.

Collection Method

Generated using DTU Wind's in-house EllipSys code for 2D and 3D CFD simulations.

Time Range

From the LERCat project (EUDP-64021-2027).

Freshness

Last updated March 2026.

Geography

Project funded by the Danish Energy Council, involving Danish and international wind energy companies.