3D wake measurements from a scanning wind lidar in combination with a fast wind field reconstruction model

Torben Krogh Mikkelsen, T. G. Herges, Poul Astrup, Mikael Sjöholm, B. T. Naughton

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High-resolution lidar wake measurements are part of an ongoing field campaign being conducted at the Scaled Wind Farm Technology (SWiFT) facility1 by Sandia National Laboratories and the National Renewable Energy Laboratory using a customized scanning “DTU SpinnerLidar”2 from the Technical University of Denmark. The purpose of the SpinnerLidar measurements at SWIFT is to measure the response of a V27 turbine wake to varying inflow conditions and turbine operating states. Although our fast scanning SpinnerLidar is able to measure the line-of-sight projected wind speed at up to 400 points per second, a single lidar is in principle never able to measure all three wind components (u, v, w) in
the scan plane at the same time. This limitation is often referred to as the “lidar cyclops syndrome”. However, by processing the scanned line-of-sight wind speed data via a fast linearized Navier-Stokes CFD code “Lincom Cyclop-buster model,”3 the corresponding 3D wind vector field (u, v, w) can be reconstructed under constraints for conservation of mass and momentum. The resulting model calculated line-of-sight projections of the 3D wind velocity vectors will become consistent with the line-of-sight wind speed measurements from the SpinnerLidar. In this way, SpinnerLidar measured line-of-sight wake data from the SWiFT site at a range of downwind distances were used to calculate the three wind components u(x, y), v(x, y) and w(x, y) in the turbine wake in a number of downwind crosswind scan planes. Fig.1 shows: a) the experimental setup, b) the line-of-sight measured wind field in a crosswind plane 66.2 m downwind, and 3) the corresponding Lincom model reconstructed axial wind component u(x, y).
Original languageEnglish
Title of host publicationWESC2017 – Wind Energy Science Conference, Book of abstract
Number of pages1
Publication date2017
Article number264
Publication statusPublished - 2017
EventWind Energy Science Conference 2017 - Kgs. Lyngby, Denmark
Duration: 26 Jun 201729 Jun 2017


ConferenceWind Energy Science Conference 2017
CityKgs. Lyngby
Internet address


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