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基于SONAH的旋转风轮声源识别实验研究
引用本文:张翠青,高志鹰,陈永艳,代元军,汪建文,候熠.基于SONAH的旋转风轮声源识别实验研究[J].太阳能学报,2021(1):302-307.
作者姓名:张翠青  高志鹰  陈永艳  代元军  汪建文  候熠
作者单位:内蒙古工业大学能源与动力工程学院;内蒙古机电职业技术学院电气工程系;风能太阳能利用技术教育部重点实验室;新疆工程学院能源工程学院
基金项目:国家自然科学基金(51866012);国家自然科学基金(51366010);内蒙古重大自然科学基金(2018ZD08)。
摘    要:在风洞开口实验段,针对不同风速及不同叶尖速比,应用Brükel&Kj?r公司60通道轮型声阵列及声信号采集系统对直径为1.4 m的S翼型风轮进行声场测试,并采用统计最优近场声全息(SONAH)技术进行旋转风轮低频噪声源识别及频域特征分析。实验结果表明:最大声强度是旋转叶片产生的基频噪声,其对应总声压级随风速增加呈函数f(x)=-0.0092x4+0.297x3-3.7403x2+23.186x+49.274增加,随叶尖速比增加呈函数f(x)=0.4467x4-10.273x3+87.728x2-328.75x+567.23增加;识别的噪声源最大能量中心集中于翼展位置约0.545 m,相对半径r/R=0.778处,且不随风速和尖速比的改变而改变。

关 键 词:风力机  噪声控制  声强度  声压级  噪声源  统计最优近场声全息(SONAH)  声源识别

EXPERIMENT ON SOUND SOURCE IDENTIFICATION OF ROTATING ROTOR BASED ON SONAH
Zhang Cuiqing,Gao Zhiying,Chen Yongyan,Dai Yuanjun,Wang Jianwen,Hou Yi.EXPERIMENT ON SOUND SOURCE IDENTIFICATION OF ROTATING ROTOR BASED ON SONAH[J].Acta Energiae Solaris Sinica,2021(1):302-307.
Authors:Zhang Cuiqing  Gao Zhiying  Chen Yongyan  Dai Yuanjun  Wang Jianwen  Hou Yi
Affiliation:(School of Energy and Power Engineering,Inner Mongolia University of Technology Huhhot 010051,China;Department of Electrical Engineering,Inner Mongolia Technical College of Mechanics and Electrics,Huhhot 010070,China;Key Laboratory of Wind Energy and Solar Energy Technology,Ministry of Education,Huhhot 010051,China;School of Energy Engineering,Xinjiang Institute of Engineering,Urumqi 830091,China)
Abstract:In the open section of the wind tunnel,the sound field of S-wing rotating rotor with1.4-meter diameter was measured by BK60-channel type acoustic array and acoustic signals at different wind speed and different tip speed ratio was acquired.Low-frequency sound sources of rotating wind turbine were located using statistically optimal near-field acoustic holography(SONAH).The experimental results showed that the maximum sound intensity is the fundamental frequency noise generated by the rotating blades,and the corresponding sound pressure level increased as a function f(x)=-0.0092 x4+0.297 x3-3.7403 x2+23.186 x+49.274 with the wind speed,and increased as a function f(x)=0.4467 x4-10.273 x3+87.728 x2-328.75 x+567.23 with the tip speed ratio.The center of the identified noise sources is concentrated on the radial position of about 0.545 m,that is r/R=0.778,and did not change with wind speed and tip speed ratio.
Keywords:wind turbines  noise control  sound intensity  sound pressure level  noise source  statistically optimal near-field acoustic holography(SONAH)  sound source identification
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