Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

Vasiljević, Nikola; Palma, J. M. L. M.; Angelou, Nikolas; Matos, José Carlos; Menke, Robert; Lea, Guillaume; Mann, Jakob; Courtney, Michael; Ribeiro, Luís Frölén; Gomes, V.

doi:10.5194/amt-10-3463-2017

Cited by 74 publications

(75 citation statements)

References 40 publications

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“…The SCADA data is available as 10-minute averages for the period of the measurement campaign and includes 25 the active power production, the nacelle direction and wind speed measured by the nacelle anemometer.From the measured power production in combination with the turbine's power curve the rotor-equivalent wind speed v rotor (Wagner et al, 2011) is derived which represents the wind speed averaged over the entire rotor disk. west-southwest and northeast, similar to a long-term assessment of the wind conditions at the site Vasiljević et al (2017).…”

mentioning

confidence: 54%

“…The site was selected to meet several scientific objectives. A detailed overview of the entire campaign is presented in Vasiljević et al (2017). In this section, we will give a summary of the campaign and site characteristics relevant for the measurements of the wind turbine wake.…”

Section: Field Campaign Overviewmentioning

confidence: 99%

“…These numbers reduce by applying different filtering methods, explained in Vasiljević et al (2017 frequency distribution (figure 5) 10 h of LRWS measurement data is available in the northeastern sector. During these periods data from both the Diamond Scan and the RHI scan is available.…”

Section: Data Selectionmentioning

confidence: 99%

“…CW lidars are capable of providing high-frequency measurements of the line-of-sight (LOS) speed (up to 400 Hz, Vasiljević et al, 2017). However, at any given measurement rate CW lidars can only measure the LOS speed from a single range.…”

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confidence: 99%

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Does the wind turbine wake follow the topography? – A multi-lidar study in complex terrain

Menke¹,

Vasiljević²,

Hansen³

et al. 2018

Preprint

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Abstract. The wind turbine wake of a single turbine in complex terrain is analysed using measurements from lidars. A particular focus of this analysis is the wake deficit and propagation. Six scanning lidars, three short-range and three long-range WindScanners, were deployed during the Perdigão 2015 measurement campaign which took place at a double-ridge site in Portugal. Several scanning scenarios, including triple-and dual-Doppler scans, were designed to capture the wind turbine wake of a 2 MW turbine located on one of the ridges. Different wake displacements are categorised according to the diurnal cycle. 5The results show a strong dependence of the vertical wake propagation to the atmospheric stability. When a terrain-induced gravity wave is observed under stable conditions, the wake follows the terrain down the ridge with a maximum inclination of -28• . During unstable conditions, the wake is advected upwards by up to 29• above horizontal.

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mentioning

confidence: 54%

Section: Field Campaign Overviewmentioning

confidence: 99%

Section: Data Selectionmentioning

confidence: 99%

mentioning

confidence: 99%

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Does the wind turbine wake follow the topography? – A multi-lidar study in complex terrain

Menke¹,

Vasiljević²,

Hansen³

et al. 2018

Preprint

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“…The hub height is 78 m above ground level, the rotor diameter is 82 m. Up to now, data from the turbine are not available. At the same location, a first, smaller campaign was carried out in 2015 and is described in Vasiljević et al (2017), while a detailed analysis of wind turbine wake measurements of this experiment is presented in 15 Menke et al (2018). Many of the lessons that were learned in that first campaign were considered in the design of the presented campaign.…”

mentioning

confidence: 99%

Wind Turbine Wake Measurements with Automatically Adjusting Scanning Trajectories in a Multi-Doppler Lidar Setup

Wildmann¹,

Vasiljević²,

Gerz³

2018

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Abstract. In the context of the Perdigão 2017 experiment, the German Aerospace Center (DLR) deployed three long-range scanning Doppler lidars with the dedicated purpose of investigating the wake of a single wind turbine at the experimental site. A novel method was established to investigate wake properties with ground-based lidars over a wide range of wind directions. For this method, the three lidars, which were space-and time-synchronized using the WindScanner software, were programmed to measure with crossing beams at individual points up to ten rotor diameters downstream the wind turbine. Every half hour, the 5 measurement points were adapted to the current wind direction to obtain a high availability of wake measurements in changing wind conditions. The linearly independent radial velocities where the lidar beams intersect allow the calculation of the wind vector at those points. Two approaches to estimate the prevailing wind direction were tested throughout the campaign. In the first approach, VAD scans of one of the lidars were used to calculate a five-minute average of wind speed and wind direction every half hour, whereas later in the experiment, five-minute averages of sonic anemometer measurements of a meteorological 10 mast close to the wind turbine became available in real-time and were used for the scanning adjustment. Results of wind speed deficit measurements are presented for two measurement days with varying westerly winds and it is evaluated how well the lidar beam intersection points match the actual wake location. The new method allowed to obtain wake measurements over the whole measurement period, whereas a static scanning setup would only have captured short periods of wake occurrences. The analysed cases reveal that state-of-the-art engineering models for wakes underestimate the actual wind speed deficit.

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Wind turbine load validation using lidar‐based wind retrievals

et al. 2019

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We define and demonstrate a procedure for carrying out wind turbine load validation based on measurements from nacelle‐mounted scanning lidars. Two coherent Doppler lidar systems, a pulsed lidar and a continuous‐wave lidar, are mounted on a 2.3‐MW wind turbine equipped with load measurement sensors. Wind measurements from a meteorological mast mounted at 2.5 rotor diameters distance are used as reference. The study shows how lidar measurements are processed and applied as inputs to aeroelastic load simulations, and the results are then compared with simulations where the wind inputs have been determined using the meteorological mast data in compliance with the IEC61400‐13 standard. For the majority of simulation cases considered, the use of nacelle‐mounted lidar measurements results in load estimation uncertainties lower or equal to those that are based on measurements from cup anemometers on the mast. These results demonstrate the usefulness of nacelle‐mounted lidars as tools for carrying out load validation without the need of meteorological masts.

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Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

Cited by 74 publications

References 40 publications

Does the wind turbine wake follow the topography? – A multi-lidar study in complex terrain

Does the wind turbine wake follow the topography? – A multi-lidar study in complex terrain

Wind Turbine Wake Measurements with Automatically Adjusting Scanning Trajectories in a Multi-Doppler Lidar Setup

Wind turbine load validation using lidar‐based wind retrievals

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