A wind-lidar buoy for offshore wind measurements: First commissioning test-phase results

Gutierrez-Antunano, M. A.; Tiana-Alsina, Jordi; Rocadenbosch, Francesc; Sospedra, Joaquim; Aghabi, R.; González-Marco, Daniel

doi:10.1109/igarss.2017.8127280

Cited by 8 publications

(13 citation statements)

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“…As described in [53], a validation campaign of the floating lidar was performed at the IJmuiden test site [54,55]. The aim of this campaign was to assess the accuracy of the EOLOS lidar buoy against metmast IJmuiden [24].…”

Section: Methodsmentioning

confidence: 99%

“…As described by vector S (Equation 3), besides the input parameters directly related to the wind (i.e., HWS and WD), the simulator requires roll and pitch angular amplitude and period information to describe buoy attitude. This information is derived from 5 Hz inertial measurement unit data on the buoy [53]. We hypothesise that, if significant correlation between roll and pitch periods and between roll and pitch amplitudes is found, these two angular variables can be considered equivalent and, therefore, a single amplitude and period can meaningfully be used to describe motion in both axes.…”

Section: Roll/pitch Correlation Hypothesismentioning

confidence: 99%

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Estimation of the Motion-Induced Horizontal-Wind-Speed Standard Deviation in an Offshore Doppler Lidar

et al. 2018

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This work presents a new methodology to estimate the motion-induced standard deviation and related turbulence intensity on the retrieved horizontal wind speed by means of the velocity-azimuth-display algorithm applied to the conical scanning pattern of a floating Doppler lidar. The method considers a ZephIR™300 continuous-wave focusable Doppler lidar and does not require access to individual line-of-sight radial-wind information along the scanning pattern. The method combines a software-based velocity-azimuth-display and motion simulator and a statistical recursive procedure to estimate the horizontal wind speed standard deviation—as a well as the turbulence intensity—due to floating lidar buoy motion. The motion-induced error is estimated from the simulator’s side by using basic motional parameters, namely, roll/pitch angular amplitude and period of the floating lidar buoy, as well as reference wind speed and direction measurements at the study height. The impact of buoy motion on the retrieved wind speed and related standard deviation is compared against a reference sonic anemometer and a reference fixed lidar over a 60-day period at the IJmuiden test site (the Netherlands). Individual case examples and an analysis of the overall campaign are presented. After the correction, the mean deviation in the horizontal wind speed standard deviation between the reference and the floating lidar was improved by about 70%, from 0.14 m/s (uncorrected) to −0.04 m/s (corrected), which makes evident the goodness of the method. Equivalently, the error on the estimated turbulence intensity (3–20 m/s range) reduced from 38% (uncorrected) to 4% (corrected).

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Section: Methodsmentioning

confidence: 99%

Section: Roll/pitch Correlation Hypothesismentioning

confidence: 99%

Estimation of the Motion-Induced Horizontal-Wind-Speed Standard Deviation in an Offshore Doppler Lidar

et al. 2018

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“…In 2015, the validation campaign of the lidar buoy prototype test floating lidar buoy at the IJmuiden test site (North Sea) took place [ 27 ]. IJmuiden is a coastal city that hosts the sea lock at the entrance of the North Sea Canal providing access to the Amsterdam (Netherlands) port region.…”

Section: Methodsmentioning

confidence: 99%

“…Lidar buoy prototype : the test buoy was a precommercial lidar buoy specially optimized to host a ZephIR TM 300 lidar [ 27 ]. It had 3.77 m width, weighed 3 tons, and had a modular four-floater structure designed to satisfy wind-energy measurement requirements and to perform wave measurements from buoy accelerations [ 16 , 31 ].…”

Section: Methodsmentioning

confidence: 99%

Estimation of Wave Period from Pitch and Roll of a Lidar Buoy

Salcedo-Bosch

Rocadenbosch

Gutierrez-Antunano

et al. 2021

Sensors

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This work proposes a new wave-period estimation (L-dB) method based on the power-spectral-density (PSD) estimation of pitch and roll motional time series of a Doppler wind lidar buoy under the assumption of small angles (±22 deg) and slow yaw drifts (1 min), and the neglection of translational motion. We revisit the buoy’s simplified two-degrees-of-freedom (2-DoF) motional model and formulate the PSD associated with the eigenaxis tilt of the lidar buoy, which was modelled as a complex-number random process. From this, we present the L-dB method, which estimates the wave period as the average wavelength associated to the cutoff frequency span at which the spectral components drop off L decibels from the peak level. In the framework of the IJmuiden campaign (North Sea, 29 March–17 June 2015), the L-dB method is compared in reference to most common oceanographic wave-period estimation methods by using a TriaxysTM buoy. Parametric analysis showed good agreement (correlation coefficient, ρ = 0.86, root-mean-square error (RMSE) = 0.46 s, and mean difference, MD = 0.02 s) between the proposed L-dB method and the oceanographic zero-crossing method when the threshold L was set at 8 dB.

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“…Example of Pitch and Roll temporal series2. MEASUREMENT SETUPThe wind measurements were retrieved from the EOLOS floating lidar validation campaign[9] at IJmuiden test site, at approximately 75km West of the Netherlands.Fig. shows the location of the IJmuiden facilities and the experimental setup provided with a 92-m tall met mast, and the EOLOS buoy with the floating lidar.…”

mentioning

confidence: 99%

Motional Behavior Estimation Using Simple Spectral Estimation: Application to The Off-Shore Wind Lidar

Salcedo-Bosch

Rocadenbosch

Gutierrez-Antunano

et al. 2020

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

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This paper proposes two methods to estimate the so-called "characteristic motional period" of a floating wind-lidar buoy. These techniques aim to characterise the buoy's pitch and roll tilting as simple harmonic motions by estimating their period. The "peak method" (PM) and the "3-dB method" are introduced as two different aproaches to study the multi-modality of the wave motion. Additionally, the offshore wind measurement campaign at Ijmuiden's is briefly introduced to contextualize where data comes from and the added value of this study.

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A wind-lidar buoy for offshore wind measurements: First commissioning test-phase results

Cited by 8 publications

References 0 publications

Estimation of the Motion-Induced Horizontal-Wind-Speed Standard Deviation in an Offshore Doppler Lidar

Estimation of the Motion-Induced Horizontal-Wind-Speed Standard Deviation in an Offshore Doppler Lidar

Estimation of Wave Period from Pitch and Roll of a Lidar Buoy

Motional Behavior Estimation Using Simple Spectral Estimation: Application to The Off-Shore Wind Lidar

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