The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20026406

Becker, Marcus (2022): SOWFA simulation setup belonging to the paper: The revised FLORIDyn model: Implementation of heterogeneous flow and the Gaussian wake. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20026406.v1

Dataset

• Other Engineering
• Aerospace Engineering
• Interdisciplinary Engineering

Simulator fOr Wind Farm Applications(SOWFA), SOWFA, wind farm control

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Marcus Becker

SOWFA setup for a nine turbine wind farm in turbulent wind during a wind direction change.

This simulation is used as a preliminary indicator on how wakes might behave during changing environmental conditions.

The turbines are set up in a 3x3 grid with the initial wind direction coming from 255 deg and then uniformly shifting by -60 deg to 195 deg in a 300 s time frame (from 20600 s to 20900 s). All turbines are 10 MW DTU reference turbines, simulated with an actuator disc.

For more details see the relevant files. OpenFOAM 2.4 was used to run the simulation.

Content

The data set contains the relevant in- and outputs from the simulation and its precursor. This should be sufficient to validate the plots from the related publications and to understand how the simulation was set up.

Naturally, you will need to adapt local paths to your installation if you want to rerun the simulation.

Note

Due to a known bug in SOWFA, the power generated is multiplied twice with the air density. Therefore, to get the actual power generated, divide by 1.225.

• 2022-06-09 first online, published, posted

4TU.ResearchData

.zip files of the SOWFA input files (mostly C++ code)

The revised FLORIDyn model: Implementation of heterogeneous flow and the Gaussian wake

https://doi.org/10.4121/19867846

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Delft Center for Systems and Control