DOI QR코드

DOI QR Code

Comparative Validation of WindCube LIDAR and Remtech SODAR for Wind Resource Assessment - Remote Sensing Campaign at Pohang Accelerator Laboratory

풍력자원평가용 윈드큐브 라이다와 렘텍 소다의 비교.검증 - 포항가속기 원격탐사 캠페인

  • Received : 2011.01.27
  • Accepted : 2011.04.18
  • Published : 2011.04.30

Abstract

The remote-sensng campaign was performed at the Pohang Accelerator Laboratory where is located in a basin 6km inland from Yeongil Bay. The campaign aimed uncertainty assessment of Remtech PA0 SODAR through a mutual comparison with WindCube LIDAR, the remote-sensing equipment for wind resource assessment. The joint observation was carried out by changing the setup for measurement heights three times over two months. The LIDAR measurement was assumed as the reference and the uncertainty of SODAR measurement was quantitatively assessed. Compared with LIDAR, the data availability of SODAR was about half. The wind speed measurement was fitted to a slope of 0.94 and $R^2$ of 0.79 to the LIDAR measurement. However, the relative standard deviation was about 17% under 150m above ground level. Therefore, the Remtech PA0 SODAR is judged to be unsuitable for the evaluation of wind resource assessment and wind turbine performance test, which require accuracy of measurement.

Keywords

References

  1. Moore, K. and Bailey, B., Sodar Measurements to Reduce Shear Extrapolation Uncertainty, Wind Power 2009, Chicago, Illinois, USA, 2009
  2. Wachter, M., Gottschasll, J., Rettenmeier, A. and Peinke, J., Power Curve Estimation Using LIDAR Measurement, European Wind Energy Conference 2009, Marseille, France, 2009.
  3. Albers, A., Janssen, A.W. and Mander, J., German Test Station for Remote Sensing Devices, European Wind Energy Conference 2009, Marseille, France, 2009.
  4. Cariou, J.P., Parmentier, R., Valla, M., Sauvage, L., Antoniou, I. and Courtney, M., AnInnovative and Autonumous 1.5 ${\mu}m$ Coherent LIDAR fo rPBL Wind Profiling, 14th Coherent Laser Radar Conference, Snowmass, Colorado, USA, 2007.
  5. Wind Tech International, Lidar-aided Site Assessment, Vol.5, No.2, 2009.
  6. 김현구, 최지휘, 가상적 참값으로써 소다 측정자료를 적용한 라이다에 의한 풍속연직분포 측정의 불확도 분석, 한국태양에너지학회 논문집, 30권, 4호, pp.79-85, 2010.
  7. 김현구, 정태윤, KIER-LidarWind를 이용한 라이다 풍황측정 데이터 분석,한국풍력에너지학회 추계학술대회,2010
  8. Kanhanala, P. K. R., Doppler SODAR Observations of the Winds and Structure in the Lower Atmosphere over Fairbanks, Alaska, Master thesis, Univ. of Alaska Fairbanks, USA, 74pp., 2007.
  9. Dupont, E. and Flori, J. P., Comparison of SODARs with Ultrasonic and Cup Anemometers for Wind Energy Applications, European Wind Energy Conference 2007, Warsaw, Poland, 2007

Cited by

  1. Calibration Equation for Nacelle Anemometer Derived by LIDAR Measurements vol.9, pp.1, 2013, https://doi.org/10.7849/ksnre.2013.9.1.012
  2. 풍력자원평가용 윈드큐브 라이다와 씬텍 소다의 비교.검증 - 잠실 원격탐사 캠페인 vol.7, pp.2, 2011, https://doi.org/10.7849/ksnre.2011.7.2.043
  3. 나셀 라이다 측정 데이터 특성 분석 및 신뢰성 검증 vol.37, pp.5, 2011, https://doi.org/10.7836/kses.2017.37.5.001
  4. 지상기반 라이다의 측정 오차에 영향을 미치는 요인 분석 vol.37, pp.6, 2011, https://doi.org/10.7836/kses.2017.37.6.025
  5. Application of the Nacelle Transfer Function by a Nacelle-Mounted Light Detection and Ranging System to Wind Turbine Power Performance Measurement vol.12, pp.6, 2011, https://doi.org/10.3390/en12061087
  6. Comparison of wind turbine power curves using cup anemometer and pulsed doppler light detection and ranging systems vol.33, pp.4, 2011, https://doi.org/10.1007/s12206-019-0318-x
  7. 태양에너지학회 논문집의 풍력에너지 연구동향 분석 vol.40, pp.4, 2020, https://doi.org/10.7836/kses.2020.40.4.001