基于壁面压力谱方法的风力机气动噪声模型  被引量:1

Wind turbine noise prediction model based on airfoil wall-pressure spectra

在线阅读下载全文

作  者:朱卫军 刘宇新 孙振业 石亚丽 ZHU Weijun;LIU Yuxin;SUN Zhenye;SHI Yali(College of Electrical,Energy and Power Engineering,Yangzhou University,Yangzhou 225100,China;Smart Energy Internet Research Institute,Yangzhou University,Yangzhou 225100,China;Beijing Goldwind Science&Creation Windpower Equipment Co.Ltd,Beijing 100176,China)

机构地区:[1]扬州大学电气与能源动力工程学院,扬州225000 [2]扬州大学智慧能源互联网研究院,扬州225000 [3]北京金风科创风电设备有限公司,北京100176

出  处:《空气动力学学报》2022年第4期81-89,共9页Acta Aerodynamica Sinica

基  金:国家重点研发计划(2019YFE0192600);国家自然科学基金(11672261,51905469)。

摘  要:湍流边界层尾缘噪声是翼型及风力机气动噪声的主要来源。本文应用的壁面压力谱方法是基于Aimet噪声理论提出的一种翼型尾缘噪声预测模型。首先,分别采用Goody、Rozenberg、Kamruzzaman、Lee、Hu等五种不同的壁面压力谱方法,对NACA0012和NACA64-618翼型进行噪声预测,并与实验数据对比,分析了各攻角和雷诺数下壁面压力谱方法对翼型尾缘噪声预测的准确性。其次,在Lee翼型尾缘边界层噪声建模的基础上,结合风力机叶素-动量理论,创新性地提出了一种新的风力机气动噪声预测模型,并与Bonus Combi 300 kW风力机的气动噪声实验数据进行对比,噪声谱对比结果验证了当前模型的有效性。该研究可为相关风力机气动噪声研究提供一种新的预测方法。The trailing edge noise of turbulent boundary layers is the main source of aerodynamic noise of airfoils and wind turbines.This paper first gives a comprehensive analysis of wall-pressure spectrum prediction models named after Goody,Rozenberg,Kamruzzaman,Lee,and Hu by comparing their predicted noise spectra of NACA0012 and NACA64-618 airfoils with experiments under conditions of different angles of attack and Reynolds numbers.It is found that the Lee model gives the most accurate prediction.Consequently,a new noise prediction model based on the Lee model and the wind-turbine blade element momentum theory is proposed.The predicted noise spectra of a Bonus Combi wind turbine by this model are in close agreement with the measured ones,indicating that the new model has great potential for further research on wind turbine aerodynamic noise.

关 键 词:风力机 气动噪声 湍流边界层 壁面压力谱 叶素动量理论 

分 类 号:TK83[动力工程及工程热物理—流体机械及工程] TB53[理学—物理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象