Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control

He, Ruiyang; Yang, Hongxing; Lu, Lin

doi:10.1016/j.apenergy.2023.120878

Cited by 14 publications

(4 citation statements)

References 25 publications

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“…; internal wear mainly includes metal inter-particle wear, micromotion wear, adhesive wear, etc. [45][46][47].…”

Section: Main Forms Of Wear On Wind Power Bearingsmentioning

confidence: 99%

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Review of Wind Power Bearing Wear Analysis and Intelligent Lubrication Method Research

Peng,

Zhao,

Shangguan

et al. 2023

Coatings

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With the significant penetration of wind generation, wind turbines require higher and higher lubrication performance for bearings. To improve the lubrication performance of wind power bearings, this study takes wind power bearings as the research object and comprehensively analyzes the wear forms of wind power bearings as well as intelligent lubrication methods. Firstly, the main roles and wear forms of wind turbine bearings are sorted out and analyzed. Secondly, the common lubrication problems of wind power bearings are analyzed from the bearing grease selection, lubrication mode, and lubrication status, highlighting the important influence of lubrication on bearings. Thirdly, the wind turbine bearing wisdom lubrication method research and organization, mainly including the wind power generation bearing lubrication materials, lubrication devices and monitoring methods, and other issues of research and analysis. Finally, current challenges and future development directions are summarized, which are designed to provide theoretical reference and technical support for the related research and engineering practice in the field of wind power engineering.

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“…; internal wear mainly includes metal inter-particle wear, micromotion wear, adhesive wear, etc. [45][46][47].…”

Section: Main Forms Of Wear On Wind Power Bearingsmentioning

confidence: 99%

“…Therefore, they must have high load-carrying capacity and antifatigue performance to ensure stable operation and long service lifespan [50,51]. The current forms of wear in yaw bearings are fatigue wear, particulate wear, and insufficient lubrication wear [47,52,53].…”

Section: Main Forms Of Wear On Wind Power Bearingsmentioning

confidence: 99%

Review of Wind Power Bearing Wear Analysis and Intelligent Lubrication Method Research

Peng,

Zhao,

Shangguan

et al. 2023

Coatings

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“…Their conclusion indicates that, in this context, the recovery of the wake center of upstream turbines is faster than that of downstream turbines. By integrating both full and partial wakes, He et al [32] presented an analysis of the fatigue of wind turbines under shear flow. In various environmental conditions, they indicated that yaw effects can induce significant load variation, which is detrimental to structural stability.…”

Section: Introductionmentioning

confidence: 99%

A New Study on the Effect of the Partial Wake Generated in a Wind Farm

Zergane,

Farsi,

Amroune

et al. 2024

Energies

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In this article, we present an investigative study on the often-overlooked partial wake phenomenon in previous studies concerning wind farm configurations. A partial wake occurs when a portion of the actuator disk of a downstream wind turbine is affected by the wake of another upstream turbine. This phenomenon occurs in addition to the full wake, where the entire upstream turbine is affected by the wake of the frontal turbine, also leading to a decrease in wind speed and consequently a reduction in power production. The proposed study is based on measuring the power generated by the area swept by the wake of an array of turbines in a wind farm. To accomplish this, we integrate the linear wake model of Jensen, the specifications of the ENERCON E2 wind turbine, and the wind farm data into Matlab-developed software (version 18) to perform the calculations. In a concrete application, this proposed method is validated by reproducing the previous works that neglected the partial wake in wind farm configurations. The simulation results obtained are analyzed, compared, and discussed under similar operational conditions.

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“…The findings demonstrate the potential benefits for both objectives in the optimization framework. He et al (2023) [5] proposed a global cost function to determine the optimal yaw angle based on power maximization and load mitigation. The study also considered the impact of various factors such as wind speed, turbulent intensity, and shear effects on the critical components of wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Power & Loads Paradigm: Tocha Farm Case Study

Lucas Frutuoso,

Marante Pereira,

Santos Pereira

et al. 2024

J. Phys.: Conf. Ser.

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Wind energy plays a vital role in the European Union’s decarbonization and electrification efforts. The present study addresses wind farm control strategies exploring the design space of optimal solutions and understanding how these solutions vary when different objectives and meteorological scenarios are considered. The goal is to bridge the gap in existing literature by avoiding the simplification of the multi-objective optimization problem into single-objective using the weights method. This method was not chosen due to its various limitations, particularly its inability to deal with non-convex Pareto fronts. Instead, in this work, a multiobjective optimization method is adopted that overcomes these constraints and offers a set of solutions (the Pareto front) where the decision maker selects the most suitable solution. The methodology involves four main steps: flow calculation using FLORIS, aerodynamic load calculation with CCBlade, conversion of loads into damage equivalent moments (DEM), and multi-objective optimization using a direct multi-search (DMS) algorithm. By exploring various objectives, such as power and fatigue loads at different components, and different wind turbines, this study aims to explore the design space and quantify the potential improvement in terms of the defined cost-functions. The study utilizes data from Tocha Wind Farm in Portugal, that comprises five VESTAS wind turbines. Strain gauges, accelerometers, and meteorological measurements are used for data collection. Simulations under ‘greedy control’, where a turbine is affected by a wake, are compared with campaign data, considering a fixed wind speed and varying turbulence intensity. The optimization reveals Pareto-optimal strategies and the respective optimal yaw angles. Considering a wind velocity of 8 m.s −1 and a wind direction of 308°, power may improve up to 4.6%, and the blade root DEM and tower base DEM up to 5.7% and 84%, respectively. The study highlights the impact of considering multiple objectives and supports the selection of wind farm control strategies to effectively manage critical structural components, thereby extending the lifespan of the wind farm.

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Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control

Cited by 14 publications

References 25 publications

Review of Wind Power Bearing Wear Analysis and Intelligent Lubrication Method Research

Review of Wind Power Bearing Wear Analysis and Intelligent Lubrication Method Research

A New Study on the Effect of the Partial Wake Generated in a Wind Farm

Exploring the Power & Loads Paradigm: Tocha Farm Case Study

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