Wind Shear and Wind Veer Effects on Wind Turbines

Lundquist, Julie K.

doi:10.1007/978-3-030-31307-4_44

Cited by 2 publications

(1 citation statement)

References 86 publications

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“…Wind veer is also a critical parameter in wind resource assessment (Durán et al, 2020;Shaw et al, 2022), wind turbine wake (Abkar et al, 2018;Englberger & Lundquist, 2020), fatigue load (Ennis et al, 2018;Robertson et al, 2019) as well as wind turbine power outputs (Lundquist, 2022;Sanchez Gomez & Lundquist, 2020a). Studies have indicated that clockwise wind veer leads to overperformance, while counterclockwise wind veer results in decreased turbine power outputs (Bardal et al, 2015;Murphy et al, 2020;Tumenbayar & Ko, 2023).…”

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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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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Downslope Wind Verification of the National Blend of Models v4.0 Across the Northern Front Range of Colorado During the 2020/2021 Cool Season

Larson,

Winters,

Schlatter

2024

J. Operational Meteor.

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Downslope windstorms are common leeward of the Rocky Mountains across the High Plains of Colorado during October through March and can cause property damage and travel disruptions. This region is renowned for two primary types of strong downslope winds: (1) chinooks that feature warm, dry winds and are often associated with the development of mountain waves, and (2) boras that are colder and often associated with the passage of a mid- and upper-level trough. The National Blend of Models (NBM) is regularly utilized by forecasters at the National Weather Service Forecast Office (WFO) in Boulder and is one tool used by the WFO to forecast downslope windstorms. No study, however, has quantified the performance of the NBM during downslope windstorms along the Colorado Front Range. In this exploratory study, downslope windstorms from October 2020 through May 2021 were identified using ten observation sites along the Colorado Front Range. Windstorms were subsequently analyzed to quantify forecast statistics of wind speeds and gusts during windstorms to provide a better understanding of NBM v4.0 performance. On average, we found that the overall maximum magnitudes of wind speeds and gusts are on average 38% and 35% too low in the NBM output, respectively, when averaged across 24 to 72-h lead times. Weather and Research Forecasting (WRF) model simulations of varying vertical resolution were also completed to determine if WRF, a constituent model of the NBM, could provide a robust representation of select downslope windstorms across the Colorado Front Range.

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Wind Shear and Wind Veer Effects on Wind Turbines

Cited by 2 publications

References 86 publications

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

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

Downslope Wind Verification of the National Blend of Models v4.0 Across the Northern Front Range of Colorado During the 2020/2021 Cool Season

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