Comparison of wind turbine power curves using cup anemometer and pulsed doppler light detection and ranging systems

Shin, Dongheon; Ko, Kyungnam; Kang, Minsang; Ryu, Dong-Hun; Kang, Munjong; Kim, Hyun-Sik

doi:10.1007/s12206-019-0318-x

Cited by 7 publications

(5 citation statements)

References 13 publications

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“…In our previous works (Kang et al, 2017;Kim et al, 2016;Shin et al, 2019;Tumenbayar & Ko, 2023), the same Windcube V2 as this work was used and it was observed that the coefficient of determination, R 2 , between met masts and the ground lidar wind speeds were ranged from 0.96 to 0.99. This indicates high accuracy of the lidar measurements.…”

Section: Data Accuracy Checkmentioning

confidence: 99%

“…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%

“…Wagner et al (Wagner et al, 2009 introduced the concept of wind shear correction using rotor equivalent wind speed (REWS), which was later added in the new publication of the International Electrotechnical Commission (IEC) 61400-12-1 2 nd edition in 2017 (International Electrotechnical Commission, 2017). It was found that more accurate power outputs were derived from REWS taking into account the wind shear across the rotor diameter of a large wind turbine compared to those using the hub height wind speed (Barthelmie et al, 2020;Shin et al, 2019). Furthermore, in order to estimate much more accurate power outputs, the definition of the REWS, considering wind veer, is provided in Annex Q of IEC 61400-12-1 2 nd edition.…”

Section: Introductionmentioning

confidence: 99%

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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: Data Accuracy Checkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Tumenbayar,

2023

Int. J. Renew. Energy Dev.

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“…Although the data rejection criteria are clearly given for the met mast wind data in IEC 61400-12-2, no data rejection criteria are available for the nacelle LIAR measurements. Thus, the following nacelle LIDAR measurements and the concurrent data of the other sources were discarded according to suggestions from previous studies [28][29][30]34,35]:…”

Section: Ntf Derivationmentioning

confidence: 99%

“…Shin et al [28,29] clarified the reliability of the nacelle LIDAR measurements through comparison with the reference cup anemometer wind data. They also compared the power curves from the nacelle LIDAR, the cup anemometer and REWS measurements, which led to the conclusion that the nacelle LIDAR power curve was quite similar to the other power curves, with a relative error of less than 3.01% [30]. According to the demand for using nacelle LIDAR for power performance testing, the project team IEC 61400-50-3 was organized and has been working to publish the official international standard by the end of 2020 so that nacelle LIDAR can be used for wind turbine power performance testing without a met mast [31].…”

Section: Introductionmentioning

confidence: 99%

Application of the Nacelle Transfer Function by a Nacelle-Mounted Light Detection and Ranging System to Wind Turbine Power Performance Measurement

Shin

2019

Energies

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To examine the applicability of the nacelle transfer function (NTF) derived from nacelle light detection and ranging (LIDAR) measurements to wind turbine power performance testing without a met mast, wind turbine power performance measurement was carried out at the Dongbok wind farm on Jeju Island, South Korea. A nacelle LIDAR was mounted on the nacelle of a 2-MW wind turbine to measure wind conditions in front of the turbine rotor, and an 80-m-high met mast was installed near another wind turbine to measure the free-stream wind speed. The power measurement instruments were installed in the turbine tower base, and wind speeds measured by the nacelle anemometer of the turbine were collected by the SCADA (Supervisory control and data acquisition) system. The NTF was determined by the table method, and then the power curve drawn using the NTF by the nacelle LIDAR (PCNTF, NL) was compared with the power curves drawn in compliance with International Electrotechnical Commission (IEC) standards, 61400-12-1 and 61400-12-2. Next, the combined standard uncertainties of the power curves were calculated to clarify the magnitude of the components of the uncertainties. The uncertainties of annual energy production (AEP) were also estimated by assuming that wind speed is a Rayleigh cumulative distribution. As a result, the PCNTF, NL was in good agreement with the power curves drawn in accordance with the IEC standards. The combined standard uncertainty of PCNTF, NL was almost the same as that of the power curve based on IEC 61400-12-2.

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Experimental study on wake interaction and power production in an onshore wind farm under single- and double-wake conditions

Shin¹,

2022

J Mech Sci Technol

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Comparison of wind turbine power curves using cup anemometer and pulsed doppler light detection and ranging systems

Cited by 7 publications

References 13 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

Application of the Nacelle Transfer Function by a Nacelle-Mounted Light Detection and Ranging System to Wind Turbine Power Performance Measurement

Experimental study on wake interaction and power production in an onshore wind farm under single- and double-wake conditions

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