Investigation of Marine Wind Veer Characteristics Using Wind Lidar Measurements

Shu, Z.R.; Li, Qiusheng; He, Yuncheng; Chan, P. W.

doi:10.3390/atmos11111178

Cited by 19 publications

(9 citation statements)

References 72 publications

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“…Cheung Chau Island and Lantau Island are located off the northwest of the platform, with a distance of, respectively, 9 and 15 km. As Figure 1 shows, the platform is exposed to fairly featureless terrain within the range of 60 • -240 • [13,30,31]. The average water depth around the platform is approximately 20 m. The offshore platform was equipped with a comprehensive wind observation system consisting of a traditional wind mast and a light detection and ranging (lidar) system.…”

Section: Site Description and Data Collectionmentioning

confidence: 99%

Reduced Sea-Surface Roughness Length at a Coastal Site

Chan

et al. 2021

Atmosphere

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Sea-surface roughness length is a key parameter for characterizing marine atmospheric boundary layer. Although aerodynamic roughness lengths for homogeneous land and open water surfaces have been examined extensively, the extension of relevant knowledge to the highly inhomogeneous coastal area is problematic due to the complex mechanisms controlling coastal meteorology. This study presented a lidar-based observational analysis of sea-surface roughness length at a coastal site in Hong Kong, in which the wind data recorded from March 2012 to November 2015 were considered and analyzed. The results indicated the turning of wind near the land-sea boundary, leading to a dominative wind direction parallel to the coastline and an acceleration in wind. Moreover, the roughness lengths corresponding to two representative azimuthal sectors were compared, in which the roughness lengths for the onshore wind sector (i.e., 120°–240°) appear to be larger than the constant value (z0 = 0.2 mm) recommended in much existing literature, whereas the values for the alongshore wind sector (i.e., 60°–90°) are significantly smaller, i.e., about two orders of magnitude less than that of a typical sea surface. However, it is to be noted that the effect of atmospheric stability, which is of crucial importance in governing the marine atmospheric boundary layer, is not taken into account in this study.

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Section: Site Description and Data Collectionmentioning

confidence: 99%

Reduced Sea-Surface Roughness Length at a Coastal Site

Chan

et al. 2021

Atmosphere

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“…In the northern hemisphere of the earth, the veering wind which shifts clockwise with height is primarily associated with warm air advection. On the other hand, the backing wind which shifts counter clockwise with height, is usually related to the cold air advection (Ansorge and Wurps, 2022;Eriksson et al, 2019;Shu et al, 2020a).…”

Section: Introductionmentioning

confidence: 99%

An Effect of Wind Veer on Wind Turbine Performance

Tumenbayar

2022

Int. J. Renew. Energy Dev.

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An investigation was performed to identify the wind veer impact on wind turbine power performance at a wind farm located on Jeju Island, South Korea. A 2 MW wind turbine was used as a test turbine. An 80 m-tall met mast was located 220 m away from the test wind turbine and a ground lidar was installed close to the met mast. The wind veer conditions were divided into four types: veering in upper and lower rotor (VV), veering in upper and backing in lower rotor (VB), backing in upper and lower rotor (BB) and backing in upper and veering in lower rotor (BV). The frequency of the four types was identified at the wind farm. The characteristics of wind veer was analysed in terms of diurnal variation and wind speed. In addition, the power curves of the four types were compared with that under no veer condition. Also, the power deviation coefficient (PDC) derived from the power outputs was calculated to identify the effect of the four types on the turbine power performance. As a result, the frequencies of the types, VV, VB, BB and BV were 62.7 %, 4.9 %, 9.2 % and 23.1 %, respectively. The PDCs for the types VV and BV were 3.0 % and 4.2 %, respectively, meaning a power gain while those for the types VB and BB were -2.9 % and -3.9 %, respectively, meaning a power loss.

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“…On the other hand, wind field characteristics are mainly studied by wind tunnel test [8][9][10] , numerical simulation [11][12][13] and field measurement [14][15][16] .…”

Section: Introductionmentioning

confidence: 99%

“…Kristoper et.al 14 gained the profiles of the component of wind vector and aerosol/cloud optical properties on a global scale by using a novel atmospheric Lidar Doppler Instruments. Shu et.al 15 studied the marine wind field with particular emphasis on wind veer characteristics by Wind Lidar Measurement (WLM), the variation of wind veer profiles up to a height of 180m was given. Duan et.al 22 used the differential absorption Lidar in the Lintong district to measure the atmosphere concentration of polluting atomic mercury, the average concentrations were recorded and put in relation to weather condition, and vertical concentration profiles were given.…”

Section: Introductionmentioning

confidence: 99%

“…Indirect observation is mostly made by remote sensors, for example, Radar, Sodar and Lidar, have been used in wind parameters measuremen 3,14,15,[20][21][22] . Because of the advantages of volume sampling are becoming more widely recognized, and the availability of improved resolution and Doppler capabilities in these remote sensors has greatly increased their utility, those make remote sensors the observational platform of choice in many situations.…”

Section: Introductionmentioning

confidence: 99%

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Research on wind field characteristics measured in inland city by Lidar

Li¹,

Wang²,

Wang³

2021

Preprint

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In order to study the wind characteristics in inland cities, a Wind3D 6000 Lidar which has many advantages in measuring wind parameters was placed on a campus in Xi’an city. Then, through filtering the original measurement data, the wind speed, wind direction, wind attack angle and turbulence intensity were analyzed using the data of nearly four months ranging from 64m to 610m. It is found that during the field measurement period, there is a linear correlation and Lorentz density function distribution between wind speed and height, but the power index law is not obvious. The wind direction changes obviously with the time and season but less along the height. The probability density of wind attack angle presents Gauss distribution, with an average value of about 1.35°, which is negatively linear correlated with height and wind speed. The probability density of turbulence shows the distribution characteristic of LogNormal density function, which increases first and then decreases with the height, and has a positive linear correlation with the wind attack angle.

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Investigation of Marine Wind Veer Characteristics Using Wind Lidar Measurements

Cited by 19 publications

References 72 publications

Reduced Sea-Surface Roughness Length at a Coastal Site

Reduced Sea-Surface Roughness Length at a Coastal Site

An Effect of Wind Veer on Wind Turbine Performance

Research on wind field characteristics measured in inland city by Lidar

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