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2017 Vol.37, Issue 5
Characteristics Analysis and Reliability Verification of Nacelle Lidar Measurements

나셀 라이다 측정 데이터 특성 분석 및 신뢰성 검증

Dongheon Shin1
,
Kyungnam Ko2*
,
Minsang Kang3
신 동헌1
,
고 경남2*
,
강 민상3
1Multidisciplinary Graduate School Program for Wind Energy, Jeju National University
2Faculty of Wind Energy Engineering, Graduate School, Jeju National University
3Research and Development Center, Jeju Energy Corporation
1제주대학교 대학원 풍력특성화협동과정
2제주대학교 대학원 풍력공학부
3제주에너지공사 에너지연구기술센터
*교신저자. *Corresponding Author. 
October 2017. pp. 1-11
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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 200 m 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
Nacelle lidar
Wind turbine
Power perfor-mance test
Measurement error
Carrier to noise ratio, CNR

키워드
나셀 라이다
풍력터빈
출력성능평가
측정오차
반송파 대 잡음비
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Information
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 37
  • No :5
  • Pages :1-11
  • Received Date : 2017-06-12
  • Revised Date : 2017-09-04
  • Accepted Date : 2017-10-24
  • DOI :https://doi.org/10.7836/kses.2017.37.5.001
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