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풍력터빈 요 포지션 데이터 보정을 위한 나셀 라이다 풍향 데이터 특성 분석

Characteristic Analysis of Nacelle LiDAR Wind Direction Data for Correction of Wind Turbine Yaw Position Data

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참고문헌

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주제분류기타공학

초록

A study on characteristics of nacelle LiDAR wind direction was experimentally carried out for wind turbine power performance measurement without a met mast for absolute wind direction measurement. A nacelle LiDAR mounted on a 2 MW wind turbine in the Dongbok wind farm on Jeju Island was used for this work. A ground LiDAR was installed near the turbine, which was used as a reference device. The characteristics of the nacelle LiDAR wind direction were analyzed with carrier-to-noise ratio (CNR), data availability, blade rotation and wake effects. Some considerations for data rejection were proposed based on the results. The real wind direction was estimated from the wind turbine yaw position corrected using the nacelle LiDAR wind direction. The nacelle LiDAR wind speeds filtered from the corrected yaw position were compared with the reference wind speeds. As a result, it was found that the nacelle LiDAR wind directions were not significantly affected by the CNR and data availability, while those were slightly influenced by turbulence intensity due to the wake effect caused by the rotation of neighboring wind turbine blades. It was confirmed that yaw positions corrected by nacelle LiDAR could be used as wind directions for wind turbine power performance.

Abstract

A study on characteristics of nacelle LiDAR wind direction was experimentally carried out for wind turbine power performance measurement without a met mast for absolute wind direction measurement. A nacelle LiDAR mounted on a 2 MW wind turbine in the Dongbok wind farm on Jeju Island was used for this work. A ground LiDAR was installed near the turbine, which was used as a reference device. The characteristics of the nacelle LiDAR wind direction were analyzed with carrier-to-noise ratio (CNR), data availability, blade rotation and wake effects. Some considerations for data rejection were proposed based on the results. The real wind direction was estimated from the wind turbine yaw position corrected using the nacelle LiDAR wind direction. The nacelle LiDAR wind speeds filtered from the corrected yaw position were compared with the reference wind speeds. As a result, it was found that the nacelle LiDAR wind directions were not significantly affected by the CNR and data availability, while those were slightly influenced by turbulence intensity due to the wake effect caused by the rotation of neighboring wind turbine blades. It was confirmed that yaw positions corrected by nacelle LiDAR could be used as wind directions for wind turbine power performance.

참고문헌 (26)

  1. Bourgeois, S, "Documentation and results of the SODAR and LIDAR measurements at the Maligrad site in Bosnia and Herzegovina", Meteotest, ~ (2008)
  2. Canadillas, B, "Testing the performance of a ground-based wind LiDAR system: One year intercomparison at the offshore platform FINO1", DEWI Magazine, 38~ (2011)
  3. 김현구, "가상적 참값으로써 소다 측정자료를 적용한 라이다에 의한 풍속연직분포 측정의 불확도 분석", 한국태양에너지학회 논문집, 30(4), pp.79~85 (2010), 한국태양에너지학회
  4. 김현구, "풍력자원평가용 윈드큐브 라이다와 렘텍 소다의 비교·검증 - 포항가속기 원격탐사 캠페인", 한국태양에너지학회 논문집, 31(2), pp.63~71 (2011), 한국태양에너지학회
  5. Kim, D. Y., "A comparison of ground-based LiDAR and met mast wind measurements for wind resource assessment over various terrain conditions", J. Wind Eng. Ind. Aerodyn, 158, pp.109~121 (2016)
  6. Lang, S., "LIDAR and SODAR measurements of wind speed and direction in upland terrain for wind energy purposes", Remote Sensing, 3, pp.1871~1901 (2011)
  7. Shu, Z. R., "Observations of offshore wind characteristics by Doppler –LiDAR for wind energy applications", Appl Energy, 169, pp.150~163 (2016)
  8. Shu, Z. R., "Investigation of offshore wind energy potential in Hongkong based on Weibull distribution function", Appl Energy, 156, pp.362~373 (2015)
  9. Shuting Wan, "Numerical analysis of the spatial distribution of equivalent wind speeds in large-scale wind turbines", Journal of Mechanical Science and Technology, 31(2), pp.965~974 (2017), 대한기계학회
  10. 신동헌, "나셀 라이다 측정 데이터 특성 분석 및 신뢰성 검증", 한국태양에너지학회 논문집, 37(5), pp.1~11 (2017), 한국태양에너지학회[DOI]
  11. 신동헌, "복잡지형에서 4빔 나셀 라이다 측정 데이터의 정확도 평가", 풍력에너지저널, 9(2), pp.20~27 (2018), 한국풍력에너지학회[DOI]
  12. IEC, "Wind energy generation systems part 12-1: Power performance measurement of electricity producing wind turbines, IEC 61400-12-1", ~ (2017)
  13. IEC, "Wind energy generation systems part 50-3: Use of nacelle mounted lidars for wind measurements, IEC 61400-50-3", Committee Draft for Vote, ~ (2020)
  14. IEC, "Wind turbines part 12-1: Power performance measurements of electricity producing wind turbines, IEC 61400-12-1", ~ (2005)
  15. IEC, "Wind turbines part 12-2: Power performance of electricity-producing wind turbines based on nacelle anemometry, IEC 61400-12-2", ~ (2013)
  16. Piano, A. M., "Tidal stream resource assessment uncertainty due to flow asymmetry and turbine yaw misalignment", Renewable Energy, 114, pp.1363~1375 (2017)
  17. Fleming, P. A., "Field-test results using a nacelle-mounted LiDAR for improving wind turbine power capture by reducing yaw misalignment", Journal of Physics: Conference series, 524(1) (2014), IOP Publishing
  18. Davoust, S., "Assessment and optimization of lidar measurement availability for wind turbine control", Proc. EWEA (2014)
  19. Scholbrock, A., "Field-test results from Lidar measured yaw control for improved yaw alignment with the NREL controls advanced research turbine", Proc. 33rd Wind Energy, Symposium AIAA SciTech Conference (2015)
  20. 김병택, "풍력터빈 요 오정렬 보정에 따른 진동 저감 및 출력성능 향상 실증 연구", 한국기계기술학회지, 21(2), pp.333~339 (2019), 한국기계기술학회[DOI]
  21. Aitken, M. L., "Performance of a wind-profiling Lidar in the region of wind turbine rotor disks", J. Atmos Oceanic Technol, 29, pp.347~355 (2012)
  22. "Wind Iris user manual with software 1.5.1, Avent LiDAR technology", ~
  23. Courtney, M., "Calibrating nacelle lidars", DTU Wind Energy (DTU Wind Energy E; No. 0020), ~ (2013)
  24. Mittelmeier, N., "Determination of optimal wind turbine alignment into the wind and detection of alignment changes with SCADA data", Wind Energ. Sci, 3, pp.395~408 (2018)
  25. Bromm, M, "Filed investigation on the influence of yaw misalignment on the propagation of wind turbine wakes", Wind Energy, ~ (2018)

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