2021工程力学Requires access

BOUNDARY LAYER WIND PROFILE MEASUREMENT BASED ON A SIX-ROTOR UAV ANEMOMETER

Q.S. Li, Hao Feng, Ou Pu, Yijun Shen

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Abstract

They studied the feasibility of boundary layer wind field measurement based on a six-rotor drone equipped with an anemometer, and analyzed the measured wind characteristics including average wind speed, wind direction, turbulence intensity, gust factor, the turbulence integral length and power spectrum. The results are compared with the measured results of anemometers fixed on a wind tower. The results show that the wind speed and wind direction values measured by the UAV are basically the same as the measured values on the wind tower after correction, and the error between the two is within ±3%. The accuracy of fitted wind profile by the UAV is high. The wind profile is close to the B-type geomorphic wind profile specified by the Chinese standard. The average ground roughness calculated by data fitting is 0.148. The various fluctuating wind characteristic parameters measured by the UAV are close to the measured values on the wind tower, and the error between the two is within ±5%. There is an exponential correlation between the turbulence intensity and the gust factor. The wind power spectrum measured by the UAV is basically consistent with that measured on the wind tower and is consistent with the Karman spectrum.

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What this paper is about

They studied the feasibility of boundary layer wind field measurement based on a six-rotor drone equipped with an anemometer, and analyzed the measured wind characteristics including average wind speed, wind direction, turbulence intensity, gust factor, the turbulence integral length and power spectrum. The results are compared with the measured results of anemometers fixed on a wind tower. The results show that the wind speed and wind direction values measured by the UAV are basically the same as the measured values on the wind tower after correction, and the error between the two is within ±3%. The accuracy of fitted wind profile by the UAV is high. The wind profile is close to the B-type geomorphic wind profile specified by the Chinese standard. The average ground roughness calculated by data fitting is 0.148. The various fluctuating wind characteristic parameters measured by the UAV are close to the measured values on the wind tower, and the error between the two is within ±5%. There is an exponential correlation between the turbulence intensity and the gust factor. The wind power spectrum measured by the UAV is basically consistent with that measured on the wind tower and is consistent with the Karman spectrum.

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Available abstract

They studied the feasibility of boundary layer wind field measurement based on a six-rotor drone equipped with an anemometer, and analyzed the measured wind characteristics including average wind speed, wind direction, turbulence intensity, gust factor, the turbulence integral length and power spectrum. The results are compared with the measured results of anemometers fixed on a wind tower. The results show that the wind speed and wind direction values measured by the UAV are basically the same as the measured values on the wind tower after correction, and the error between the two is within ±3%. The accuracy of fitted wind profile by the UAV is high. The wind profile is close to the B-type geomorphic wind profile specified by the Chinese standard. The average ground roughness calculated by data fitting is 0.148. The various fluctuating wind characteristic parameters measured by the UAV are close to the measured values on the wind tower, and the error between the two is within ±5%. There is an exponential correlation between the turbulence intensity and the gust factor. The wind power spectrum measured by the UAV is basically consistent with that measured on the wind tower and is consistent with the Karman spectrum.

Key concepts: Anemometer, Log wind profile, Wind profile power law, Roughness length, Wind gradient, Wind speed, Turbulence kinetic energy, Wind power

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