Long-Range WindScanner System

Vasiljević, Nikola; Lea, Guillaume; Courtney, Michael; Cariou, Jean-Pierre; Mann, Jakob; Mikkelsen, Torben

doi:10.3390/rs8110896

Cited by 74 publications

(95 citation statements)

References 45 publications

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“…Under the WindScanner.dk project, DTU Wind Energy, with the expert support from specialized industrial partners, developed scanner heads, converting the profiling lidars into the scanning lidars that make up the LRWS and SRWS. In addition to the hardware developments, DTU Wind Energy developed specific software solutions for both WindScanner systems (e.g., Vasiljević et al, 2016a).…”

Section: Windscanner Systemsmentioning

confidence: 99%

“…As discussed in Vasiljević et al (2016a), lidars in the previously mentioned studies were individually configured, run and monitored; thus, there was no central computer that would ensure their synchronicity. Also, commercially available lidars were used in the majority of these studies, and the configuration flexibility and available auxiliary information of such devices is usually limited (e.g., no accurate timing of scans and only simple scanning methods are available).…”

Section: Introductionmentioning

confidence: 99%

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Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

et al. 2017

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Abstract. The long-range and short-range WindScanner systems (LRWS and SRWS), multi-Doppler lidar instruments, when combined together can map the turbulent flow around a wind turbine and at the same time measure mean flow conditions over an entire region such as a wind farm. As the WindScanner technology is novel, performing field campaigns with the WindScanner systems requires a methodology that will maximize the benefits of conducting WindScannerbased experiments. Such a methodology, made up of 10 steps, is presented and discussed through its application in a pilot experiment that took place in a complex and forested site in Portugal, where for the first time the two WindScanner systems operated simultaneously. Overall, this resulted in a detailed site selection criteria, a well-thought-out experiment layout, novel flow mapping methods and high-quality flow observations, all of which are presented in this paper.

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Section: Windscanner Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

et al. 2017

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“…Three-dimensional wind-field measurements made using dual-Doppler intersecting RHI scans and using continuity to estimate the vertical velocity were used to study flow upstream and downstream of a utility-scale wind turbine . Three-dimensional wind and turbulence measurements using fully coordinated short-range continuous wave triple lidars (Mikkelsen et al, 2008;Simley et al, 2016) and long-range triple lidar scanning Vasiljević et al, 2016) have been demonstrated to provide high quality measurements of complex flow. In addition, manually coordinated triple lidar measurements (Wang et al, 2016) were also tested and showed promise in measuring the 3-D wind fields operationally.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign

et al. 2017

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Abstract. Accurate three-dimensional information of wind flow fields can be an important tool in not only visualizing complex flow but also understanding the underlying physical processes and improving flow modeling. However, a thorough analysis of the measurement uncertainties is required to properly interpret results. The XPIA (eXperimental Planetary boundary layer Instrumentation Assessment) field campaign conducted at the Boulder Atmospheric Observatory (BAO) in Erie, CO, from 2 March to 31 May 2015 brought together a large suite of in situ and remote sensing measurement platforms to evaluate complex flow measurement strategies.In this paper, measurement uncertainties for different single and multi-Doppler strategies using simple scan geometries (conical, vertical plane and staring) are investigated. The tradeoffs (such as time-space resolution vs. spatial coverage) among the different measurement techniques are evaluated using co-located measurements made near the BAO tower. Sensitivity of the single-/multi-Doppler measurement uncertainties to averaging period are investigated using the sonic anemometers installed on the BAO tower as the standard reference. Finally, the radiometer measurements are used to partition the measurement periods as a function of atmospheric stability to determine their effect on measurement uncertainty.It was found that with an increase in spatial coverage and measurement complexity, the uncertainty in the wind measurement also increased. For multi-Doppler techniques, the increase in uncertainty for temporally uncoordinated measurements is possibly due to requiring additional assumptions of stationarity along with horizontal homogeneity and less representative line-of-sight velocity statistics. It was also found that wind speed measurement uncertainty was lower during stable conditions compared to unstable conditions.

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“…Except in the cases of co-located synchronised measurements (e.g. WindScanner (Vasiljevic et al, 2016) or multi-static systems), the different LOS velocities result from probing the wind in several locations; therefore, assumptions on the wind flow must be made.…”

Section: Wind Measurements With Doppler Lidarsmentioning

confidence: 99%

Wind field reconstruction from nacelle-mounted lidar short-range measurements

et al. 2017

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Abstract. Profiling nacelle lidars probe the wind at several heights and several distances upstream of the rotor. The development of such lidar systems is relatively recent, and it is still unclear how to condense the lidar raw measurements into useful wind field characteristics such as speed, direction, vertical and longitudinal gradients (wind shear). In this paper, we demonstrate an innovative method to estimate wind field characteristics using nacelle lidar measurements taken within the induction zone. Model-fitting wind field reconstruction techniques are applied to nacelle lidar measurements taken at multiple distances close to the rotor, where a wind model is combined with a simple induction model. The method allows robust determination of free-stream wind characteristics. The method was applied to experimental data obtained with two different types of nacelle lidar (five-beam Demonstrator and ZephIR Dual Mode). The reconstructed wind speed was within 0.5 % of the wind speed measured with a mast-top-mounted cup anemometer at 2.5 rotor diameters upstream of the turbine. The technique described in this paper overcomes measurement range limitations of the currently available nacelle lidar technology.

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Long-Range WindScanner System

Cited by 74 publications

References 45 publications

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign

Wind field reconstruction from nacelle-mounted lidar short-range measurements

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