| Citation: |
LIANG Z, HU F, SHI Y, et al. Research of mast shadow effect on the average wind speed and turbulence intensity by field experiment[J]. Journal of Experiments in Fluid Mechanics, 2024, 38(2): 88-97. DOI: 10.11729/syltlx20220010
|
Accurate measurement of the wind field is very important in wind engineering, the meteorological mast is the most common way for wind measurement, and the mast shadow effect is the main influence factor of the accuracy. The influence of the mast shadow effect on the average wind speed and turbulence intensity was studied by three meteorological mast at three different regions in China with one-year data, and the mast shadow effect was analyzed by Tower Distortion Factor (TDF) and Scatter Factor (SCF). The results show that meteorological mast has significant influence on the downstream air flow, and caused a wind speed reduction by 15.5% and a turbulence intensity raise by 26.1%; the mast blocking effect on the upstream air flow is weaker than the mast shadow effect, and the mast blocking effect caused a small wind speed reduction by 2.2% and a turbulence intensity raise by 0.4%. Further statistical results show that the mast shadow effect on the average wind speed and turbulence intensity is linearly negatively correlated with a correlation coefficient of −0.864, and a slope of −0.443. The mast shadow effect on Turbulence Intensity is more significant, and was 2.257 times of that on the average wind speed. On the average, the TDFs of the average wind speed and turbulence intensity were 0.0141−0.0314 and 0.0214−0.0385, respectively. The contribution of averaged wind speed and turbulence intensity were 34.6% and 49.0%, respectively. On the dispersion, SCFs of the average wind speed and turbulence intensity were 0.0179−0.0240 and 0.0648−0.0845, respectively, and the average contribution of the averaged wind speed and turbulence intensity were 10.5% and 10.8%. The mast shadow effect on the turbulence intensity was higher than the effect on the average wind speed, and the effect on the dispersion was close for both.
| [1] |
张美根, 胡非, 邹捍, 等. 大气边界层物理与大气环境过程研究进展[J]. 大气科学, 2008, 32(4): 923–934. DOI: 10.3878/j.issn.1006-9895.2008.04.18
ZHANG M G, HU F, ZOU H, et al. An overview of recent studies on atmospheric boundary layer physics and atmospheric environment in LAPC[J]. Chinese Journal of Atmospheric Sciences, 2008, 32(4): 923–934. doi: 10.3878/j.issn.1006-9895.2008.04.18
|
| [2] |
程雪玲, 胡非, 曾庆存. 复杂地形风场的精细数值模拟[J]. 气候与环境研究, 2015, 20(1): 1–10. DOI: 10.3878/j.issn.1006-9585.2014.13225
CHENG X L, HU F, ZENG Q C. Refined numerical simulation of complex terrain flow field[J]. Climatic and Environmental Research, 2015, 20(1): 1–10. doi: 10.3878/j.issn.1006-9585.2014.13225
|
| [3] |
李军, 胡非. 复杂地形下激光雷达测风误差的修正[J]. 可再生能源, 2017, 35(5): 727–733. DOI: 10.3969/j.issn.1671-5292.2017.05.015
LI J, HU F. Correction for Li DAR measured error of wind flow on complex terrain[J]. Renewable Energy Resources, 2017, 35(5): 727–733. doi: 10.3969/j.issn.1671-5292.2017.05.015
|
| [4] |
BALOGH M, PARENTE A, BENOCCI C. RANS simulation of ABL flow over complex terrains applying an Enhanced X-T model and wall function formulation: implementation and comparison for fluent and OpenFOAM[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2012, 104-106: 360–368. doi: 10.1016/j.jweia.2012.02.023
|
| [5] |
FARRUGIA R N, SANT T. Modelling wind speeds for cup anemometers mounted on opposite sides of a lattice tower: a case study[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2013, 115: 173–183. doi: 10.1016/j.jweia.2012.11.006
|
| [6] |
TAKAHASHI T, KATO S, MURAKAMI S, et al. Wind tunnel tests of effects of atmospheric stability on turbulent flow over a three-dimensional hill[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2005, 93(2): 155–169. doi: 10.1016/j.jweia.2004.11.003
|
| [7] |
BASEER M A, MEYER J P, REHMAN S, et al. Wind power characteristics of seven data collection sites in Jubail, Saudi Arabia using Weibull parameters[J]. Renewable Energy, 2017, 102: 35–49. doi: 10.1016/j.renene.2016.10.040
|
| [8] |
CERMAK J E, HORN J D. Tower shadow effect[J]. Journal of Geophysical Research Atmospheres, 1968, 73(6): 1869–1876. doi: 10.1029/jb073i006p01869
|
| [9] |
WADE C G. A quality control program for surface mesometeorological data[J]. Journal of Atmospheric and Oceanic Technology, 1987, 4(3): 435–453. doi:10.1175/1520-0426(1987)004<0435:aqcpfs>2.0.co;2
|
| [10] |
HAUGLAND M J. Isolating microscale phenomena from mesoscale observations[J]. Bulletin of the American Meteorological Society, 2004: 4707-4710.
|
| [11] |
SCOTT G, ELLIOTT D, SCHWARTZ M. Comparison of Second Wind Triton Data with Meteorological Tower Measurements[R]. NREL/TP-550-47429, 2010. doi: 10.2172/972514
|
| [12] |
REHMAN S, AL-HADHRAMI L M. Wind turbulence behavior and study of tower distortion and scatter factors[C]//Proceedings of ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. 2014 doi: 10.1115/GT2014-26585.
|
| [13] |
McCAFFREY K, QUELET P T, CHOUKULKAR A, et al. Identification of tower-wake distortions using sonic anemometer and lidar measurements[J]. Atmospheric Measurement Techniques, 2017, 10(2): 393–407. doi: 10.5194/amt-10-393-2017
|
| [14] |
OKORIE M E, INAMBAO F. Identification of tower and boom-wakes using collocated anemometers and lidar measurement[J]. International Journal of Mechanical Engineering and Technology, 2019, 10(06): 72–94.
|
| [15] |
OKORIE M E, INAMBAO F. Tower wake distortion effect: a comprehensive review of methods and applications[J]. International Journal of Engineering Research and Technology, 2020, 13(12): 4016–4032.
|
| [16] |
BAILEY B H, McDONALD S L. Wind resource assessment handbook[M]. New York: AWS Scientific, 1997.
|
| [17] |
International Electrotechnical Commission. Wind energy generation systems Part 12-1 — Power performance measurements of electricity producing wind turbines: IEC 61400-12-1[S]. Switzerland: International Electrotechnical Commission, 2017
|
| [18] |
PEDERSEN T F, BUSCHE P. ACCUWIND-classification of five cup anemometers according to IEC61400-12-1[R]. RISØ-R-1556(EN) , 2006.
|
| [19] |
中国国家标准化管理委员会. 风力发电机组 设计要求: GB/T 18451.1—2012[S]. 北京: 中国标准出版社, 2012.
|
| [20] |
NRG Systems. NRG 40C ANEMOMETER[EB/OL]. [2022-02-15]. https://www.nrgsystems.com/products/met-sensors/detail/40c-anemometer/.
|
| [21] |
LINDELÖW P J P, FRIIS PEDERSEN T, GOTTSCHALL J, et al. Flow distortion on boom mounted cup anemometers[R]. RISØ-R-1738(EN) , 2010.
|
| [1] | LI Meng, ZHAO Huiyong, YUAN Qiang, CHEN Li, MU Jinhe. Experimental research on the influence of turbulence intensity on boundary layer transition in Mach 3 supersonic flow[J]. Journal of Experiments in Fluid Mechanics, 2024, 38(6): 56-64. DOI: 10.11729/syltlx20220087 |
| [2] | ZHU Bo, CHEN Jiming, WU Wei, PEI Haitao. Experimental investigation of turbulence intensity measurement in continuous transonic wind tunnel[J]. Journal of Experiments in Fluid Mechanics. DOI: 10.11729/syltlx20220034 |
| [3] | YANG Junwei, YANG Hua, FU Shifeng, ZONG Wangwang, SHA Chenglong. Wind tunnel experimental study of the grille-generated turbulence in the short test section[J]. Journal of Experiments in Fluid Mechanics, 2021, 35(6): 86-93. DOI: 10.11729/syltlx20210042 |
| [4] | SHEN Guohui, ZHANG Shuaiguang, YU Shice. Wind field characteristics on a bridge site under complex mountain terrain[J]. Journal of Experiments in Fluid Mechanics, 2021, 35(4): 26-33. DOI: 10.11729/syltlx20200020 |
| [5] | HU Shangyu, LI Qiusheng, ZHANG Ming. Active turbulence simulation study of wind loads on standard low-rise building[J]. Journal of Experiments in Fluid Mechanics, 2020, 34(4): 22-29. DOI: 10.11729/syltlx20190157 |
| [6] | QI Sheng, LIU Siyu, XIN Shirong, HE Yong, LIU Yingzu, WANG Zhihua. Experimental study on ignition and combustion of pulverized coal particles clouds under laminar and turbulent conditions[J]. Journal of Experiments in Fluid Mechanics, 2020, 34(3): 61-69. DOI: 10.11729/syltlx20200033 |
| [7] | Fu Cheng, Zhao Bo, Xu Dachuan, Liao Daxiong, Pei Haitao, Zhu Bo, Qin Honggang. Investigation on flow turbulent characteristics of plate-fin and tube-fin heat exchanger[J]. Journal of Experiments in Fluid Mechanics, 2019, 33(6): 22-27. DOI: 10.11729/syltlx20190036 |
| [8] | Lyu Junming, Li Fei, Lin Xin, Cheng Xiaoli, Yu Xilong, Yu Jijun. Measurement and validation of nitrogen radiative intensity in shock tube[J]. Journal of Experiments in Fluid Mechanics, 2019, 33(3): 25-30, 111. DOI: 10.11729/syltlx20180156 |
| [9] | Yu Qianqian, Wang Jinhua, Zhang Weijie, Zhang Meng, Huang Zuohua. Development of scale-controlled premixed turbulent burner and the flame structure analysis[J]. Journal of Experiments in Fluid Mechanics, 2018, 32(2): 10-17. DOI: 10.11729/syltlx20170150 |
| [10] | Zhu Bo, Peng Qiang, Tang Gengsheng. Digital signal process of low turbulence intensity based on EMD[J]. Journal of Experiments in Fluid Mechanics, 2016, 30(5): 74-79. DOI: 10.11729/syltlx20150148 |
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: