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이광세(Gwang-Se Lee),강민상(Minsang Kang),김석우(Seokwoo Kim),이진재(Jin-Jae Lee) 한국신재생에너지학회 2020 신재생에너지 Vol.16 No.4
The wind turbine gearbox has the longest downtime among other major turbine components such as blades, generators, and main bearings. Therefore, gearbox manufacturers conduct rig tests to evaluate conformity in terms of design and function. Rig tests, however, have limited similarity compared with atmospheric wind turbine operating conditions. Rig test conditions are thoroughly controlled and maintained by testers and the component certificates of gearboxes issued through the test cannot fulfill wind farm operator’s requirements. Hence, certification bodies such as DNV-GL and UL require a mandatory gearbox field test report for type certification. The Korea Energy Agency (KEA) also introduced gearbox field test as a part of the KS type certificate in 2016, although it is optional . In this paper, gearbox field test procedures and requirements are introduced, and the first domestic application case of the test is reported. The field test was conducted with a 1.5 MW wind turbine gearbox located in Jeju as the test object.
신동헌(Shin Dongheon),고경남(Ko Kyungnam),강민상(Kang Minsang) 한국태양에너지학회 2017 한국태양에너지학회 논문집 Vol.37 No.5
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%.