Wind Tunnel Dataset of Wind Farm Power Boosting and Active Power Control under Unsteady Wind Direction (Three-Turbine Farm)
Fuente:
Zenodo
Enregistré dans:
| Auteurs principaux: | , , , , , |
|---|---|
| Format: | Recurso digital |
| Langue: | anglais |
| Publié: |
Zenodo
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866902137532841984 |
|---|---|
| author | CAMPAGNOLO, FILIPPO Aktan, H. Doruk Bortolin, Davide Tamaro, Simone Mühle, Franz Volker Bottasso, Carlo Luigi |
| author_facet | CAMPAGNOLO, FILIPPO Aktan, H. Doruk Bortolin, Davide Tamaro, Simone Mühle, Franz Volker Bottasso, Carlo Luigi |
| contents | <p>This repository provides an open experimental dataset obtained from a wind tunnel campaign focused on wind farm control under unsteady inflow conditions.</p> <p>The campaign includes approximately <strong>260 controlled experiments</strong> conducted on a <strong>three-turbine scaled wind farm</strong> while the wind direction varies continuously over time.</p> <h3>Control strategies investigated</h3> <ul> <li> <p>Wake steering (yaw-based power boosting)</p> </li> <li> <p>Active Power Control (APC)</p> </li> </ul> <p>The dataset enables research on wind farm control in more realistic, time-varying inflow conditions compared to steady wind direction experiments.</p> <h3>Measurements included</h3> <p>Each NetCDF file contains:</p> <ul> <li> <p>Wind tunnel reference signals (velocity, direction, density)</p> </li> <li> <p>Turbine operational and control signals</p> </li> <li> <p>Power production</p> </li> <li> <p>High-frequency turbine structural loads</p> </li> <li> <p>Filtered loads for fatigue and control analysis</p> </li> </ul> <h3>Applications</h3> <p>This dataset is intended for:</p> <ul> <li> <p>Dynamic wind farm control research</p> </li> <li> <p>Active power control studies</p> </li> <li> <p>Wake steering under unsteady inflow</p> </li> <li> <p>Load and fatigue analysis</p> </li> <li> <p>Reduced-order modelling and system identification</p> </li> <li> <p>Validation of high-fidelity simulations (LES / engineering models)</p> </li> </ul> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18743431 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Wind Tunnel Dataset of Wind Farm Power Boosting and Active Power Control under Unsteady Wind Direction (Three-Turbine Farm) CAMPAGNOLO, FILIPPO Aktan, H. Doruk Bortolin, Davide Tamaro, Simone Mühle, Franz Volker Bottasso, Carlo Luigi wind farm control active power control wake steering unsteady wind direction wind tunnel experiments turbine loads power boosting benchmark dataset NetCDF open experimental data scaled wind turbines <p>This repository provides an open experimental dataset obtained from a wind tunnel campaign focused on wind farm control under unsteady inflow conditions.</p> <p>The campaign includes approximately <strong>260 controlled experiments</strong> conducted on a <strong>three-turbine scaled wind farm</strong> while the wind direction varies continuously over time.</p> <h3>Control strategies investigated</h3> <ul> <li> <p>Wake steering (yaw-based power boosting)</p> </li> <li> <p>Active Power Control (APC)</p> </li> </ul> <p>The dataset enables research on wind farm control in more realistic, time-varying inflow conditions compared to steady wind direction experiments.</p> <h3>Measurements included</h3> <p>Each NetCDF file contains:</p> <ul> <li> <p>Wind tunnel reference signals (velocity, direction, density)</p> </li> <li> <p>Turbine operational and control signals</p> </li> <li> <p>Power production</p> </li> <li> <p>High-frequency turbine structural loads</p> </li> <li> <p>Filtered loads for fatigue and control analysis</p> </li> </ul> <h3>Applications</h3> <p>This dataset is intended for:</p> <ul> <li> <p>Dynamic wind farm control research</p> </li> <li> <p>Active power control studies</p> </li> <li> <p>Wake steering under unsteady inflow</p> </li> <li> <p>Load and fatigue analysis</p> </li> <li> <p>Reduced-order modelling and system identification</p> </li> <li> <p>Validation of high-fidelity simulations (LES / engineering models)</p> </li> </ul> |
| title | Wind Tunnel Dataset of Wind Farm Power Boosting and Active Power Control under Unsteady Wind Direction (Three-Turbine Farm) |
| topic | wind farm control active power control wake steering unsteady wind direction wind tunnel experiments turbine loads power boosting benchmark dataset NetCDF open experimental data scaled wind turbines |
| url | https://doi.org/10.5281/zenodo.18743431 |