Abstract
Sandia National Laboratories and the National Renewable Energy Laboratory conducted a field campaign at the Scaled Wind Farm Technology (SWiFT) Facility using a customized scanning lidar from the Technical University of Denmark. The results from this field campaign will support the validation of computational models to predict wake dissipation and wake trajectory offset downstream of a stand-alone wind turbine. In particular, regarding the effect of changes in the atmospheric boundary layer inflow state and turbine yaw offset. A key step in this validation process involves quantifying, and reducing, the uncertainty in the wake measurements. The present work summarizes the process that was used to calibrate the alignment of the lidar in order to reduce this source of uncertainty in the experimental data from the SWiFT field test.
| Original language | English |
|---|---|
| Title of host publication | 35th Wind Energy Symposium |
| Number of pages | 10 |
| Publisher | American Institute of Aeronautics and Astronautics |
| Publication date | 2017 |
| ISBN (Print) | 9781624104565 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 35th Wind Energy Symposium - Grapevine, TX, United States Duration: 9 Jan 2017 → 13 Jan 2017 Conference number: 35 |
Conference
| Conference | 35th Wind Energy Symposium |
|---|---|
| Number | 35 |
| Country/Territory | United States |
| City | Grapevine, TX |
| Period | 09/01/2017 → 13/01/2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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