Published September 26, 2019
| Version Version 1
Dataset
Open
Characterization of Wind Turbine Wakes with Nacelle-Mounted Doppler LiDARs and Model Validation in the Presence of Wind Veer
- 1. Wind Engineering and Renewable Energy Laboratory (WiRE), École Polytechnique Fedérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
- 2. IIHR-Hydroscience & Engineering, Dept. of Civil and Environmental Engineering, The University of Iowa, Iowa City, IA 52242, USA.
Description
Dataset of the paper "Characterization of Wind Turbine Wakes with Nacelle-Mounted Doppler LiDARs and Model Validation in the Presence of Wind Veer" published in Remote Sensing [1].
[1] Brugger P, Fuertes FC, Vahidzadeh M, Markfort CD, Porté-Agel F. Characterization of Wind Turbine Wakes with Nacelle-Mounted Doppler LiDARs and Model Validation in the Presence of Wind Veer. Remote Sensing. 2019; 11(19):2247. https://doi.org/10.3390/rs11192247.
Files
Data_for_Fig_4a.txt
Files
(388.9 kB)
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md5:4149b234c5ea31b4edb9fa9b0026b7e1
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md5:5a3391e0a7942fcd1bf8cc7f6e2f3e44
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7.5 kB | Preview Download |
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Additional details
Related works
- Compiles
- Journal article: 10.3390/rs11192247 (DOI)
Funding
- Towards improved predictions of turbine wakes in wind farms: An integrated computational and experimental framework 200021_172538
- Swiss National Science Foundation
References
- Brugger P, Fuertes FC, Vahidzadeh M, Markfort CD, Porté-Agel F. Characterization of Wind Turbine Wakes with Nacelle-Mounted Doppler LiDARs and Model Validation in the Presence of Wind Veer. Remote Sensing. 2019; 11(19):2247. https://doi.org/10.3390/rs11192247.