The wind measurement experiment was conducted by using three-dimensional ultrasonic anemometers in the building environment in Hohhot, Inner Mongolia, and the collected wind data were processed into sub-data samples with sampling frequencies of 10 Hz, 5 Hz, 2 Hz and 1 Hz and sub-data samples with averaging periods of 10 min, 5 min and 1 min, respectively. The effects of sampling frequency and average period on wind speed, wind direction, turbulence intensity and turbulence power spectral density in the built environment were explored and analyzed. The results show that the wind field characteristics can be accurately captured by using a 1 Hz sampling frequency, without pursuing too high sampling frequency. Wind speeds which are much larger or smaller than the average wind speed can be retained by using1min averaging period, and the wind power density calculated is closer to the actual situation. While the averaging period has a slight influence on the wind direction frequency, but does not change the wind direction distribution characteristics and the main wind direction. Meanwhile, the averaging period has no effect on the turbulence intensity and turbulence power spectral density in the building environment. The turbulence intensity and turbulence power spectral spectrum density under a 1 min averaging period are relatively smaller. However, the turbulence intensity may be overestimated under a 10 min averaging period in the building environment, but it provides a relatively safe basis for wind turbine load analysis.
Key words
urban wind energy /
wind power density /
sampling frequency /
averaging period /
turbulence intensity /
turbulence power density
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References
[1] REJA R K, AMIN R, TASNEEM Z, et al.A review of the evaluation of urban wind resources: challenges and perspectives[J]. Energy and buildings, 2022, 257: 111781.
[2] PORCARO M, COMINO F, VANWALLEGHEM T, et al.Exploring the reduction of energy demand of a building with an eco-roof under different irrigation strategies[J]. Sustainable cities and society, 2021, 74: 103229.
[3] WILKE A, WELFENS P J J. Urban wind energy production potential: new opportunities[R]. Universitätsbibliothek Wuppertal, 2020.
[4] DAI S F, LIU H J, PENG H Y.Assessment of parapet effect on wind flow properties and wind energy potential over roofs of tall buildings[J]. Renewable energy, 2022, 199: 826-839.
[5] ZHANG S W, KWOK K C S, LIU H H, et al. A CFD study of wind assessment in urban topology with complex wind flow[J]. Sustainable cities and society, 2021, 71: 103006.
[6] TASNEEM Z, AL NOMAN A, DAS S K, et al.An analytical review on the evaluation of wind resource and wind turbine for urban application: prospect and challenges[J]. Developments in the built environment, 2020, 4: 100033.
[7] BIANCHINI A, BANGGA G, BARING-GOULD I, et al.Current status and grand challenges for small wind turbine technology[J]. Wind energy science, 2022, 7(5): 2003-2037.
[8] KC A, WHALE J, URMEE T.Urban wind conditions and small wind turbines in the built environment: a review[J]. Renewable energy, 2019, 131: 268-283.
[9] 侯亚丽, 栗广浩, 杨宇昕, 等. 基于现场测量的建筑环境风场特征分析及风力机出力评估[J]. 太阳能学报, 2023, 44(11): 318-324.
HOU Y L, LI G H, YANG Y X, et al.Wind energy potential and micro-wind turbine performance analysis based on site measure ments in urban environment[J]. Acta energiae solaris sinica, 2023, 44(11): 318-324.
[10] RAKIB M I, EVANS S P, CLAUSEN P D.Measured gust events in the urban environment, a comparison with the IEC standard[J]. Renewable energy, 2020, 146: 1134-1142.
[11] 李荣阳, 侯亚丽, 栗广浩, 等. 城市建筑环境中阵风特征的实验研究[J]. 工程热物理学报, 2023, 44(2): 389-396.
LI R Y, HOU Y L, LI G H, et al.Experimental study of gust characteristics in the urban built environment[J]. Journal of engineering thermophysics, 2023, 44(2): 389-396.
[12] TABRIZI A B, WHALE J, LYONS T, et al.Rooftop wind monitoring campaigns for small wind turbine applications: Effect of sampling rate and averaging period[J]. Renewable energy, 2015, 77: 320-330.
[13] GB/T 18710—2002, 风电场风能资源评估方法[S].
GB/T 18710—2002, Methodology of wind energy resource assessment for wind farm[S].
[14] 侯亚丽, 汪建文, 王强, 等. 建筑物群内屋顶形状对屋顶风力机微观选址的影响[J]. 机械工程学报, 2018, 54(2): 191-200.
HOU Y L, WANG J W, WANG Q, et al.Influence of roof shape on micrositing of rooftop wind turbine in the building group[J]. Journal of mechanical engineering, 2018, 54(2): 191-200.
[15] ABOHELA I,HAMZAN,DUDEK S.Effect of roof shape,wind direction,building height and urban configurationon the energy yield and positioning of roof mounted wind turbines[J]. Renewable energy,2013, 50(3): 1106-1118.
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