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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%.
풍력단지에서의 Jensen 후류모델 후류감소계수 영향 분석
양경부(Yang Kyoungboo),고경남(Ko Kyungnam) 한국태양에너지학회 2024 한국태양에너지학회 논문집 Vol.44 No.1
Wind turbines exchange wake effects with each other on wind farms, resulting in wake loss that reduces the power production of the wind farm. Various wake models have been developed to calculate these wake effects. Among them, the Jensen wake model is the most widely used. The model has a wake decay constant parameter for considering the topographical environment of the wind farm. However, setting this wake decay constant relies on the subjective judgment of the designer. In this study, a simulation program was developed to examine the effect of the wake decay constant of the Jensen wake model. The simulation results were compared with data collected from an actual wind farm. Consequently, the output of the downstream wind turbine was reduced due to the wake. By analyzing the effect of the wake decay constant, when the recommended value was applied, the results matched the measured values in certain cases but did not in others. However, when the wake decay constant calculated using the turbulence intensity was applied, the results were generally similar to those of the actual data.