Modelling lidar volume-averaging and its significance to wind turbine wake measurements: Paper

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    Abstract

    Lidar velocity measurements need to be interpreted differently than conventional in-situ readings. A commonly ignored factor is “volume-averaging”, which refers to lidars not sampling in a single, distinct point but along its entire beam length. However, especially in regions with large velocity gradients, like the rotor wake, can it be detrimental. Hence, an efficient algorithm mimicking lidar flow sampling is presented, which considers both pulsed and continous-wave lidar weighting functions. The flow-field around a 2.3 MW turbine is simulated using Detached Eddy Simulation in combination with an actuator line to test the algorithm and investigate the potential impact of volume-averaging. Even with very few points discretising the lidar beam is volume-averaging captured accurately. The difference in a lidar compared to a point measurement is greatest at the wake edges and increases from 30% one rotor diameter (D) downstream of the rotor to 60% at 3D.
    Original languageEnglish
    Title of host publicationWake Conference 2017
    Number of pages10
    Volume854
    Publication date2017
    Article number012014
    DOIs
    Publication statusPublished - 2017
    EventWake Conference 2017 - Visby, Sweden
    Duration: 30 May 20171 Jun 2017
    http://standupforwind.se/wake-conference-2017/

    Conference

    ConferenceWake Conference 2017
    Country/TerritorySweden
    CityVisby
    Period30/05/201701/06/2017
    Internet address
    SeriesJournal of Physics: Conference Series
    ISSN1742-6596

    Keywords

    • Applied fluid mechanics
    • Wakes
    • General fluid dynamics theory, simulation and other computational methods
    • Wind power plants
    • Optical radar
    • Power and plant engineering (mechanical engineering)
    • Fluid mechanics and aerodynamics (mechanical engineering)
    • Mechanical components
    • Measurement
    • CW radar
    • flow simulation
    • optical radar
    • rotors (mechanical)
    • velocity measurement
    • wakes
    • wind turbines
    • LIDAR volume-averaging modelling
    • wind turbine wake measurement
    • LIDAR velocity measurement
    • lidar flow sampling
    • pulsed lidar weighting functions
    • continous-wave lidar weighting functions
    • detached eddy simulation
    • rotor diameter
    • power 2.3 MW

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