| |||||||
| A Review of Diagnostic Methods for Yaw Errors in Horizontal Axis Wind Turbines | |
Li, Qian1 ; Chen DY(陈丹阳)2,3; Lin, Hangbing1; Yang XL(杨晓雷)2,3
| |
| Corresponding Author | Yang, Xiaolei(xyang@imech.ac.cn) |
| Source Publication | ENERGIES (IF:2.707[JCR-2018],2.99[5-Year]) |
| 2025-02-01 | |
| Volume | 18Issue:3Pages:17 |
| Abstract | Yaw errors occur in wind turbines either during the installation stage or because of the aging of devices. It reduces the wind speed in the rotor axial direction and increases the structural loads in the lateral direction. Diagnosing yaw error rapidly and accurately is crucial for avoiding the introduced under-performance. In this review paper, we first introduce the fundamental concepts and principles of wind turbine yaw control strategies, and we discuss two types of yaw errors (i.e., the static yaw error and the dynamic yaw error) with their corresponding causes. Subsequently, we outline the existing yaw error diagnostic methods, which are based on the LiDAR (light detection and ranging) data, the SCADA (supervisory control and data acquisition) data, or a combination of the two, and we discuss the advantages and disadvantages of various methods. At last, we emphasize that the diagnostic performance can be improved via the combination of the LiDAR data and the SCADA data, and it benefits from an in-depth understanding of the salient features and influential factors associated with the yaw error. Meanwhile, the potential of intelligent clusters and digital twins for detecting yaw errors is discussed. |
| Keyword | wind turbine yaw error diagnostic method |
| DOI | 10.3390/en18030588 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001418510000001 |
| WOS Keyword | PERFORMANCE ; EFFICIENCY ; SPEED ; MODEL |
| WOS Research Area | Energy & Fuels |
| WOS Subject | Energy & Fuels |
| Funding Project | NSFC Basic Science Center Program for Multiscale Problems in Nonlinear Mechanics[11988102] ; NSFC Basic Science Center Program[XDB0620102] ; Strategic Priority Research Program of Chinese Academy of Sciences (CAS)[12172360] ; National Natural Science Foundation of China[YSBR-087] ; CAS Project for Young Scientists in Basic Research |
| Funding Organization | NSFC Basic Science Center Program for Multiscale Problems in Nonlinear Mechanics ; NSFC Basic Science Center Program ; Strategic Priority Research Program of Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China ; CAS Project for Young Scientists in Basic Research |
| Classification | Q3 |
| Ranking | 1 |
| Contributor | 杨晓雷 |
| Citation statistics | 正在获取...
|
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/100084 |
| Collection | 非线性力学国家重点实验室 |
| Affiliation | 1.Huaneng Grp Ltd, Huaneng Clean Energy Res Inst, Beijing 102209, Peoples R China; 2.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China; 3.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Li, Qian,Chen DY,Lin, Hangbing,et al. A Review of Diagnostic Methods for Yaw Errors in Horizontal Axis Wind Turbines[J]. ENERGIES,2025,18,3,:17.Rp_Au:杨晓雷 |
| APA | Li, Qian,陈丹阳,Lin, Hangbing,&杨晓雷.(2025).A Review of Diagnostic Methods for Yaw Errors in Horizontal Axis Wind Turbines.ENERGIES,18(3),17. |
| MLA | Li, Qian,et al."A Review of Diagnostic Methods for Yaw Errors in Horizontal Axis Wind Turbines".ENERGIES 18.3(2025):17. |
| Files in This Item: | ||||||
| There are no files associated with this item. | ||||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment