journal article·2020-03-13Open access

Further Study on the Effects of Wind Turbine Yaw Operation for Aiding Active Wake Management

Juchuan Dai, Xin Yang, Wenxian Yang, Guoqiang Gao, Mimi Li

Applied Sciences· Volume 10· Issue 6

Abstract

Active wake management (AWM) via yaw control has been discussed in recent years as a potential way to improve the power production of a wind farm. In such a technique, the wind turbines will be required to work frequently at misaligned yaw angles in order to reduce the vortices in the wake area behind the turbines. However, today, it is still not very clear about how yaw operation affects the dynamics and power generation performance of the wind turbines. To further understand the effects of yaw operation, numerical research is conducted in this paper. In the study, the optimal size of the flow field used in the computational fluid dynamics (CFD) calculation was specifically discussed in order to obtain an efficient numerical model to quickly and accurately predict the dynamics and the performance of the turbines. Through this research, the correlation between the blade loads during yaw and non-yaw operations is established for aiding yaw control, and the blade loads and power generation performances of the wind turbine during yaw operation under different wind shear and blade deflection conditions are analyzed for understanding the effects of yaw operation. It is found that the optimal size of the flow field for performing efficient and accurate CFD calculations does exist. The misaligned yaw operation generally tends to decrease the loads acting on the blade. However, the aerodynamic energy captured by the turbine rotor and blade loads during yaw operation is not only dependent on the yaw angle of the rotor but is also affected by wind speed, rotor speed, the pitch angle of the blades, blade deflection, and wind shear. Particularly, it is interestingly found that wind shear can cause undesirable fluctuation of the power, which will challenge the power quality of the wind farm if no measures are taken.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Wind Energy Research and Development · Fluid Dynamics and Vibration Analysis · Wind and Air Flow Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China

School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK

Funding

National Natural Science Foundation of China

References (28)

Show source-provided references
1. An Overview of Global Ocean Wind Energy Resource Evaluations10.1016/j.rser.2015.09.063 ↗
2. Assessing the China Sea Wind Energy and Wave Energy Resources from 1988 to 200910.1016/j.oceaneng.2013.03.006 ↗
3. Development of Wind Power Industry in China: A Comprehensive Assessment10.1016/j.rser.2018.08.044 ↗
4. Wake Impacts on Downstream Wind Turbine Performance and Yaw Alignment10.1002/we.544 ↗
5. Wake Steering Via Yaw Control in Multi-Turbine Wind Farms: Recommendations Based on Large-Eddy Simulation
6. Wake Impact on Aerodynamic Characteristics of Horizontal Axis Wind Turbine under Yawed Flow Conditions10.1016/j.renene.2018.12.126 ↗
7. Full-Field Assessment of Wind Turbine near-Wake Deviation in Relation to Yaw Misalignment10.5194/wes-1-41-2016 ↗
8. Wind Tunnel Experiments on Wind Turbine Wakes in Yaw: Redefining the Wake Width10.5194/wes-3-257-2018 ↗
9. Field Investigation on the Influence of Yaw Misalignment on the Propagation of Wind Turbine Wakes10.1002/we.2210 ↗
10. Experimental Investigation of Wake Effects on Wind Turbine Performance10.1016/j.renene.2011.01.024 ↗
11. Aerodynamic Performance and Wind-Induced Effect of Large-Scale Wind Turbine System under Yaw and Wind-Rain Combination Action10.1016/j.renene.2018.12.123 ↗
12. Wind Tunnel Study on Power Output and Yaw Moments for Two Yaw-Controlled Model Wind Turbines10.5194/wes-3-489-2018 ↗
13. Wind Plant Power Optimization through Yaw Control Using a Parametric Model for Wake Effects—A Cfd Simulation Study10.1002/we.1822 ↗
14. Power Extraction Efficiency Optimization of Horizontal-Axis Wind Turbines through Optimizing Control Parameters of Yaw Control Systems Using an Intelligent Method10.1016/j.apenergy.2018.04.114 ↗
15. Wind Plant System Engineering through Optimization of Layout and Yaw Control10.1002/we.1836 ↗
16. Tanvir, A., Basit, A., Ahsan, M., Coupiac, O., Girard, N., Kazemtabrizi, B., and Matthews, P.C. (2019). Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms. Energies, 12.10.3390/en12071266 ↗
17. The Impact of Yaw Error on Aeroelastic Characteristics of a Horizontal Axis Wind Turbine Blade10.1016/j.renene.2013.05.014 ↗
18. Assessment of Wind Turbine Component Loads under Yaw-Offset Conditions10.5194/wes-3-173-2018 ↗
19. Unsteady Aerodynamics Simulation of a Full-Scale Horizontal Axis Wind Turbine Using Cfd Methodology10.1016/j.enconman.2015.12.084 ↗
20. Numerical Investigation of Unsteady Aerodynamics of a Horizontal-Axis Wind Turbine under Yawed Flow Conditions10.1002/we.1520 ↗
21. Analysis of Wind Turbine Blades Aeroelastic Performance under Yaw Conditions10.1016/j.jweia.2017.09.011 ↗
22. Effect Investigation of Yaw on Wind Turbine Performance Based on SCADA Data10.1016/j.energy.2018.02.059 ↗
23. Load Alleviation of Wind Turbines by Yaw Misalignment10.1002/we.1612 ↗
24. Numerical Investigation of Optimal Yaw Misalignment and Collective Pitch Angle for Load Imbalance Reduction of Rigid and Flexible Hawt Blades under Sheared Inflow10.1016/j.energy.2015.03.016 ↗
25. Predicting Wind Turbine Blade Loads and Aeroelastic Response Using a Coupled Cfd–Csd Method10.1016/j.renene.2014.03.033 ↗
26. 3d Navier–Stokes Computations of a Stall-Regulated Wind Turbine
27. Investigation of Energy Output in Mountain Wind Farm Using Multiple-Units SCADA Data10.1016/j.apenergy.2019.01.207 ↗
28. Research on Power Coefficient of Wind Turbines Based on Scada Data10.1016/j.renene.2015.08.023 ↗