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Scanning Lidar Spatial Calibration and Alignment Method for Wind Turbine Wake Characterization

    • Sandia National Laboratories

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    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 languageEnglish
    Title of host publication35th Wind Energy Symposium
    Number of pages10
    PublisherAmerican Institute of Aeronautics and Astronautics
    Publication date2017
    ISBN (Print)9781624104565
    DOIs
    Publication statusPublished - 2017
    Event35th Wind Energy Symposium - Grapevine, TX, United States
    Duration: 9 Jan 201713 Jan 2017
    Conference number: 35

    Conference

    Conference35th Wind Energy Symposium
    Number35
    Country/TerritoryUnited States
    CityGrapevine, TX
    Period09/01/201713/01/2017

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

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