• Title/Summary/Keyword: Shinan wind power plant

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Analysis on Wind Turbine Degradation of the Shinan Wind Power Plant (신안풍력발전소 풍력터빈의 성능저하 분석)

  • Kim, Hyun-Goo
    • Journal of the Korean Solar Energy Society
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    • v.33 no.4
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    • pp.46-50
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    • 2013
  • This paper investigated wind turbine degradation quantitatively by analyzing the short-term operation records of the Shinan Wind Power Plant. Instead of a capacity factor which is needed to be normalized its variability due to monthly wind speed change, this study suggests an analysis method by taking the difference between the theoretical power output calculated from the nacelle wind speed and actual power output as the quantitative index of performance degradation. For three-year SCADA data analysis of the Shinan Wind Power Plant, it was confirmed that power output degradation rate of 0.54% per year. This value is within the average reduction rate 0.4%/year~0.9%/year of normalized capacity factor of the onshore wind power plants in U.K. and Denmark; however, lower than the rate 2%/year of Canadian wind power plants.

Derivation of Nacelle Transfer Function Using LiDAR Measurement (라이다(LiDAR) 측정을 이용한 나셀전달함수의 유도)

  • Kim, Hyun-Goo;Kang, Yong-Heack;Yun, Chang-Yeol
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.39 no.9
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    • pp.929-936
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    • 2015
  • Nacelle anemometers are mounted on wind-turbine nacelles behind blade roots to measure the free-stream wind speed projected onto the wind turbine for control purposes. However, nacelle anemometers measure the transformed wind speed that is due to the wake effect caused by the blades' rotation and the nacelle geometry, etc. In this paper, we derive the Nacelle Transfer Function (NTF) to calibrate the nacelle wind speed to the free-stream wind speed, as required to carry out the performance test of wind turbines according to the IEC 61400-12-2 Wind-Turbine Standard. For the reference free-stream wind data, we use the Light Detection And Ranging (LiDAR) measurement at the Shinan wind power plant located on the Bigeumdo Island shoreline. To improve the simple linear regression NTF, we derive the multiple nonlinear regression NTF. The standard error of the wind speed was found to have decreased by a factor of 9.4, whereas the mean of the power-output residual distribution decreased by 6.5 when the 2-parameter NTF was used instead of the 1-parameter NTF.