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Characteristics Analysis and Reliability Verification of Nacelle Lidar Measurements

나셀 라이다 측정 데이터 특성 분석 및 신뢰성 검증

  • Shin, Dongheon (Multidisciplinary Graduate School Program for Wind Energy, Jeju National University) ;
  • Ko, Kyungnam (Faculty of Wind Energy Engineering, Graduate School, Jeju National University) ;
  • Kang, Minsang (Research and Development Center, Jeju Energy Corporation)
  • 신동헌 (제주대학교 대학원 풍력특성화협동과정) ;
  • 고경남 (제주대학교 대학원 풍력공학부) ;
  • 강민상 (제주에너지공사 에너지연구기술센터)
  • Received : 2017.06.12
  • Accepted : 2017.10.24
  • Published : 2017.10.30

Abstract

A study on Nacelle Lidar (Light detection and ranging) measurement error and the data reliability verification was carried out at Haengwon wind farm on Jeju Island. For measurement data error processing, the characteristics of Nacelle Lidar measurements were analyzed by dividing into three parts, which are weather conditions (temperature, humidity, atmosphere, amount of precipitation), mechanical movement (rotation of wind turbine blades, tilt variation of Nacelle Lidar) and Nacelle Lidar data availability. After processing the measurement error, the reliability of Nacelle Lidar data was assessed by comparing with wind data by an anemometer on a met mast, which is located at a distance of 200m from the wind turbine with Nacelle Lidar. As a result, various weather conditions and mechanical movement did not disturb reliable data measurement. Nacelle Lidar data with availability of 95% or more could be used for checking Nacelle Lidar wind data reliability. The reliability of Nacelle Lidar data was very high with regression coefficient of 98% and coefficient of determination of 97%.

Keywords

References

  1. Global wind statistics 2016, Global wind energy council (GWEC), 2016.
  2. JRC Science for policy report, JRC Wind energy status report 2016, 2016.
  3. IEC, Wind turbine generator systems part 12-1: Power performance measurements of electricity producing wind turbines, Third edition, IEC 61400-12-1, 2005.
  4. IEC, Wind turbine generator systems Part 12-2: Power performance of electricity-producing wind turbines based on nacelle anemometry, First Ed., IEC 61400-12-2, 2013.
  5. Wagner, R., Rivera, R. L., Antoniou, I., Davoust, S., Pedersen, T. F., Courtney, M., and Diznabi, B., Procedure for Wind Turbine Power Performance Measurement with a Two-beam Nacelle Lidar, DTU Wind Energy report 2013.
  6. Wagner, R., Samuel, D., Nacelle Lidar for Power Curve Measurement_Avedore Campaign, DTU Wind Energy report 2013.
  7. Wagner, R., Friis Pedersen, T., Courtney, M., Gottschall, J., Antoniou, I., Moller, R., Pedersen, S. M., Velociter, T., Bardon, M., and Mouritzen, A. S., Power Performance Measured Using a Nacelle Lidar. EWEA Annual Event 2011.
  8. Davoust, S., Jehu, A., Bouillet, M., Bardon, M., and Vercherin, B., Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control, National Renewable Energy Laboratory (NREL) 2014.
  9. Kim, H. G. and Choi, J. H., Uncertainty Analysis on Wind Speed Profile Measurements of Lidar by Applying SODAR Measurements as a Virtual True Value, Journal of the Korean Solar Energy Society, Vol. 30, No. 4, pp. 79-85, 2010.
  10. Kim, H. G., Chyng, C. H., An, H. J., and Ji, Y. M., Comparative Validation of Windcube Lidar and Remtech SODAR for Wind Resource Assessment-remote Sensing Campaign at Pohang Accelerator Laboratory, Journal of the Korean Solar Energy Society, Vol. 31, No. 2, pp. 63-71, 2011. https://doi.org/10.7836/kses.2011.31.2.063
  11. Kim, D. Y., Kim, T. W., Oh, G. J., Huh, J. C., and Ko, K. N., A Comparison of Ground-based Lidar and Met Mast Wind Measurements for Wind Resource Assessment Over Various Terrain Conditions, Journal of Wind Engineering and Industrial Aerodynamics, Vol. 158, pp. 109-121, 2016. https://doi.org/10.1016/j.jweia.2016.09.011
  12. Wind Iris user manual with software 1.5.1, Avent Lidar technology.
  13. Windcuve v2 user manual version 6, Leosphere.
  14. Courtney, M., Calibrating nacelle lidars, DTU Wind Energy 2013 (DTU Wind Energy E; No. 0020), 2013.