Characterising wind shear exponents in the offshore area using Lidar measurements

Yan, Bowen; Li, Q.S.; Chan, P. W.; He, Yuncheng; Shu, Z.R.

doi:10.1016/j.apor.2022.103293

Cited by 6 publications

(2 citation statements)

References 44 publications

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“…The power outputs of a wind turbine have been known to be affected by the factors of incoming wind speed, wind direction, atmospheric stability, turbulence, air density, wind shear, wind veer and so on. The factors influencing wind turbine power production have a diurnal cycle due to the surface heat from the sun 1 – 3 . Every site has unique conditions, thus wind measurement campaigns should be carried out to estimate accurate electric power productions of wind turbines at a given site.…”

Section: Introductionmentioning

confidence: 99%

Wind power variation by wind veer characteristics with two wind farms

Tumenbayar

2023

Sci Rep

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To clarify the wind veer characteristics with height and their effect on the wind turbine power outputs, an investigation was carried out at the wind farms with complex and simple terrains. A 2 MW and a 1.5 MW wind turbine were tested, each having an 80 m tall met mast and a ground lidar to capture wind veering. Wind veer conditions were divided into four types based on wind direction changes with height. The power deviation coefficient (PDC) and the revenue differences for the four types were derived from the estimated electric productions. As a result, the wind veer angle across turbine rotors were more significant at the complex site than at the simple site. For the two sites, the PDC values ranged from − 3.90 to 4.21% depending on the four types, which led to a 20-year revenue variation of − 274,750–423,670 USD/MW.

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Section: Introductionmentioning

confidence: 99%

Wind power variation by wind veer characteristics with two wind farms

Tumenbayar

2023

Sci Rep

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“…Lidar enables the capture of vertical wind profiles up to a height of 200 m, which is crucial for more accurate estimation of wind power production from modern large wind turbines (Leosphere, 2014). Extensive studies have been conducted to assess the measurement accuracy of ground-based lidar (Bodini et al, 2019;Shin et al, 2019), and high correlations between met masts and ground lidar measurements have been observed under various terrain conditions (Borraccino et al, 2017;Yan et al, 2022). Kim et al (Kim et al, 2016) found that ground lidar measurements exhibited an error of 2 % to 6 % in wind speeds under various terrain conditions.…”

Section: Introductionmentioning

confidence: 99%

Investigation of wind veer characteristics on complex terrain using ground-based lidar

Tumenbayar,

2023

Int. J. Renew. Energy Dev.

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The wind direction shift with height significantly influences wind turbine performance, particularly in relation to terrain conditions. In this work, wind conditions at 12 measurement heights ranging from 40 m to 200 m using a ground lidar, Windcube V2, installed on a 16 m tall building were analysed to examine the characteristics of wind veer angles in complex terrain. The measurement campaign was carried out from January 1st to December 31st, 2022, in the southeastern part of South Korea. The terrain complexity around the ground lidar system was evaluated using the ruggedness index (RIX), whose result was 14.06 percent corresponding to complex terrain. The ground lidar measurements were compared with mesoscale data, EMD-WRF South Korea, for the data accuracy check. Wind veer frequencies and wind roses were derived to identify directional shifts with height. Furthermore, diurnal, monthly, and seasonal variations of wind veer characteristics were analysed. Wind shear exponent factor (WSE) and turbulence kinetic energy (TKE) were calculated, and wind veer profiles were constructed based on these parameters. The relative errors of wind speeds were analysed for rotor equivalent wind speed (REWS) and hub height wind speed (HHWS), with REWS with wind veer correction, REWSveer, as a reference. Additionally, atmospheric stability conditions were classified using WSE and TKE, and the vertical changes in wind veering were analysed according to the stability conditions. The findings reveal lower wind speeds exhibited larger wind veer values and fluctuations. The relative errors for the REWS and the HHWS were 0.04 % and 0.20 % on average, respectively. The study demonstrates that terrain conditions significantly impacted wind veer angles at heights below 100 m, whereas the influence diminished with increasing height above 100 m. The results could be helpful for wind farm developers to make decisions on the siting as well as the hub height of wind turbines on complex terrain

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Hybrid offshore wind–solar energy farms: A novel approach through retrofitting

Huang,

Iglesias

2024

Energy Conversion and Management

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Characterising wind shear exponents in the offshore area using Lidar measurements

Cited by 6 publications

References 44 publications

Wind power variation by wind veer characteristics with two wind farms

Wind power variation by wind veer characteristics with two wind farms

Investigation of wind veer characteristics on complex terrain using ground-based lidar

Hybrid offshore wind–solar energy farms: A novel approach through retrofitting

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