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Wind velocity measurement devices based on the remote optical sensing, lidars, are extensively applied in wind energy research and wind farm operation. The present paper demonstrates the relevance and potential of lidar measurements for other wind- sensitive structures such as long-span bridges. In a pilot study in Lysefjord, Norway, a pulsed long-range lidar and two short-range WindScanners were installed at the bridge site, together with a long-term monitoring system based on sonic anemometers. The deployment of the two types of lidars is described in more details and the complementary value of the data from all three types of the instruments is illustrated. The emphasis is on the lidars’ potential to map the wind conditions along the whole span of a bridge in a complex terrain, as opposed to “point” measurements achievable by sonic anemometers. The challenging balance between the spatial and temporal resolution of the data is discussed. [ABSTRACT FROM AUTHOR]

With further development of LiDAR technology wake measurements by use of LiDAR became of common interest in the wind energy community. To study new measurement strategies of scanning and nacelle LiDARs, in combination with already existing measurement principles of static LiDARs, Norcowe conducted in collaboration with the Energy research Centre of the Netherlands (ECN) the Wind Turbine Wake Experiment Wieringermeer (WINTWEX-W). In this study we use data from the static Windcubes V1 to illustrate a proof of concept of wake effects at 1.75 and 3.25 rotor diameter downstream distance. After validating Windcube data against sonic anemometers from the met mast, we compare downstream velocity deficits and turbulence intensities between measurements of static and scanning WindCubes. To further characterize single wind turbine wakes and their frequencies of occurrence we analysed the results in terms of atmospheric stability. Wake measurements are of great importance to further developing tools for optimising wind farm layouts and operations. [ABSTRACT FROM AUTHOR]

Wind velocity measurement devices based on the remote optical sensing, lidars, are extensively applied in wind energy research and wind farm operation. The present paper demonstrates the relevance and potential of lidar measurements for other wind- sensitive structures such as long-span bridges. In a pilot study in Lysefjord, Norway, a pulsed long-range lidar and two short-range WindScanners were installed at the bridge site, together with a long-term monitoring system based on sonic anemometers. The deployment of the two types of lidars is described in more details and the complementary value of the data from all three types of the instruments is illustrated. The emphasis is on the lidars’ potential to map the wind conditions along the whole span of a bridge in a complex terrain, as opposed to “point” measurements achievable by sonic anemometers. The challenging balance between the spatial and temporal resolution of the data is discussed. [ABSTRACT FROM AUTHOR]

With further development of LiDAR technology wake measurements by use of LiDAR became of common interest in the wind energy community. To study new measurement strategies of scanning and nacelle LiDARs, in combination with already existing measurement principles of static LiDARs, Norcowe conducted in collaboration with the Energy research Centre of the Netherlands (ECN) the Wind Turbine Wake Experiment Wieringermeer (WINTWEX-W). In this study we use data from the static Windcubes V1 to illustrate a proof of concept of wake effects at 1.75 and 3.25 rotor diameter downstream distance. After validating Windcube data against sonic anemometers from the met mast, we compare downstream velocity deficits and turbulence intensities between measurements of static and scanning WindCubes. To further characterize single wind turbine wakes and their frequencies of occurrence we analysed the results in terms of atmospheric stability. Wake measurements are of great importance to further developing tools for optimising wind farm layouts and operations. [ABSTRACT FROM AUTHOR]