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《Renewable Energy Resources》 2017-07
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Turbulence based Dual-NTF Method applied to power curve measurement with nacelle anemometer

Zhang Shuangyi;Hu Fei;State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics,Chinese Academy of Sciences;University of Chinese Academy of Sciences;China Three Gorges New Energy Co.,Ltd;  
The power curve measurement with nacelle anemometer has significant error, and it also brings the uncertainty in Wind Power Prediction(WPP). Based on field experiment in a wind farm,this literature investigated the nacelle wind speed-free flow wind speed relationship,studied atmospheric turbulence intensity's effect on the Nacelle Transfer Function(NTF), and then propoed a turbulence based dual-NTF method, which can be applied to power curve measurement with nacelle anemometer. For various annual mean wind speed conditions, the error ranges of calculated energy production based on no-corrected, the International Electrotechnical Commission(IEC) single-NTF method corrected and this paper's dual-NTF method corrected nacelle wind speed power curves were-8.8% ~ 0.5%,-2.4% ~-0.2% and-0.2% ~ 0.2%. The results indicated the turbulence based dual-NTF method proposed in this paper is feasible, and its application effect is superior to the IEC single-NTF method.
【Fund】: 国家自然科学基金项目(11472272)
【CateGory Index】: TM614
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【Citations】
Chinese Journal Full-text Database 10 Hits
1 Zhang Shuangyi;Hu Fei;State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences;University of Chinese Academy of Sciences;China Three Gorges New Energy Co.,Ltd;;A study on effects of boundary layer meteorology to wind turbines' power performance[J];可再生能源;2017-03
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Gao Lei;Xie Lirong;Chao Qin;Niu Yongchao;School of Electrical Engineering, Xinjiang University;;A hybrid model for wind farm abandoned wind power forecasting based on empirical mode decomposition and Markov chain[J];可再生能源;2017-07
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