Wind direction fluctuation analysis for wind turbines

Guo, Ping; Chen, Si; Chu, Jingchun; Infield, David

doi:10.1016/j.renene.2020.07.137

Cited by 16 publications

(9 citation statements)

References 28 publications

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“…Thus, the bearing mostly uses a four-point contact ball rotary bearing; this bearing groove is specifically machined for better wear and impact resistance and can withstand larger axial loads and higher moment loads [ 38 , 39 , 40 ]. Yaw bearing is mounted between the tower and nacelle, which not only holds the weight, but also needs to adjust the windward angle of the wind turbine in time according to wind rotation [ 41 ] to optimize the power input and generation efficiency [ 42 , 43 ]. Since the yaw bearing is subjected to the impact load of the external wind and the internal overturning moment, the force situation is complicated.…”

Section: Wind Turbine and Bearings Composition And Classificationmentioning

confidence: 99%

Review of Tribological Failure Analysis and Lubrication Technology Research of Wind Power Bearings

et al. 2022

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Wind power, being a recyclable and renewable resource, makes for a sizable portion of the new energy generation sector. Nonetheless, the wind energy industry is experiencing early failure of important components of wind turbines, with the majority of these issues also involving wind power bearings. Bearing dependability is directly tied to the transmission efficiency and work performance of wind turbines as one of its major components. The majority of wind turbine failures are due to bearings, and the vast majority of bearing failures are due to lubrication. The topic of improving the accuracy and life of wind power bearing motion is becoming increasingly essential as the wind power industry develops rapidly. This study examines the various constructions and types of wind turbines, as well as their bearings. We also examined the most typical causes of friction and lubrication failure. Furthermore, contemporary research on wind turbine bearings has been compiled, which mostly comprises the study and development of lubrication technology and other areas. Finally, a conclusion and outlook on current challenges, as well as future research directions, are offered.

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Section: Wind Turbine and Bearings Composition And Classificationmentioning

confidence: 99%

Review of Tribological Failure Analysis and Lubrication Technology Research of Wind Power Bearings

et al. 2022

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“…It is likely that the wind direction may change from the interval, i.e (0 °, 10 °) to (350 °, 360 °). Practice shows that bilinear transformation is a better way for transforming discrete wind direction data to continuous data than the sine and cosine transformation (Peng et al, 2020). Geometrically, the two intervals are close to each other and therefore this change would lead to a large prediction error (Bilgili et al, 2007).…”

Section: Bilinear Transformation Of Angular Datamentioning

confidence: 99%

Short-Term Nacelle Orientation Forecasting Using Bilinear Transformation and ICEEMDAN Framework

et al. 2021

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To maximize energy extraction, the nacelle of a wind turbine follows the wind direction. Accurate prediction of wind direction is vital for yaw control. A tandem hybrid approach to improve the prediction accuracy of the wind direction data is developed. The proposed approach in this paper includes the bilinear transformation, effective data decomposition techniques, long-short-term-memory recurrent neural networks (LSTM-RNNs), and error decomposition correction methods. In the proposed approach, the angular wind direction data is firstly transformed into time-series to accommodate the full range of yaw motion. Then, the continuous transformed series are decomposed into a group of subseries using a novel decomposition technique. Next, for each subseries, the wind directions are predicted using LSTM-RNNs. In the final step, it decomposed the errors for each predicted subseries to correct the predicted wind direction and then perform inverse bilinear transformation to obtain the final wind direction forecasting. The robustness and effectiveness of the proposed approach are verified using data collected from a wind farm located in Huitengxile, Inner Mongolia, China. Computational results indicate that the proposed hybrid approach outperforms the other single approaches tested to predict the nacelle direction over short-time horizons. The proposed approach can be useful for practical wind farm operations.

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“…Most of the subsequent contributions proceeded similarly. Guo et al [25] investigated the effect of wind direction fluctuations on wind turbines, whereas Liu et al [26] used large-eddy simulations to analyze the environmental effects on the local wind direction. Sun et al [27] performed an experimental study on the impact of wind direction on farm turbines, whereas Routray et al [28] minimized the losses in a multi-wake scenario.…”

Section: Wind Direction Robustnessmentioning

confidence: 99%

Advances in Wind Farm Layout Optimization: Wind Direction Robustness and Wake Induced Asymmetric Thrust Load

Croonenbroeck¹,

Hennecke²

2021

JEPT

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In this study, we address the wind farm layout optimization (WFLO) problem and tackle the issue of optimal turbine placement by incorporating additional aspects of an economically driven target function. Firstly, we have analyzed the effect of wind direction on a given turbine arrangement. Based on the direction-dependent wake pattern, practitioners sometimes shut down certain turbines on their farms. Our method computes which turbines should be shut down in which wake situation. On this basis, we have developed a method of finding new turbine setups that rarely require shutdowns and are, in a certain sense, “robust” against changes to the wind direction. Secondly, we have presented a partial coverage Jensen wake model in three-dimensional space and have provided the tools for reducing or avoiding wake-induced asymmetric thrust on the rotor disc of the turbine, which leads to reduced energy yield and accelerated wear. This aspect can also be used for finding new turbine setups that take partial coverage into account and avoid it if necessary. Overall, the application of the refinements suggested in this study will result in an increased yearly profit achieved from the produced energy in a wind farm. This is an aspect that decision-makers, such as farm planners/operators, might depend on in a market that typically possesses narrow profit margins. Our methods find entrance into the open-source research framework that comes as the package wflo for the statistical software R.

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Wind direction fluctuation analysis for wind turbines

Cited by 16 publications

References 28 publications

Review of Tribological Failure Analysis and Lubrication Technology Research of Wind Power Bearings

Review of Tribological Failure Analysis and Lubrication Technology Research of Wind Power Bearings

Short-Term Nacelle Orientation Forecasting Using Bilinear Transformation and ICEEMDAN Framework

Advances in Wind Farm Layout Optimization: Wind Direction Robustness and Wake Induced Asymmetric Thrust Load

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