A control-oriented large eddy simulation of wind turbine wake considering effects of Coriolis force and time-varying wind conditions

Qian, Guowei; Song, Yue; Ishihara, Takeshi

doi:10.1016/j.energy.2021.121876

Cited by 29 publications

(5 citation statements)

References 32 publications

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“…Constraints on the yaw misalignment angles of the turbines are considered. According to previous studies [35,47], positive yaw misalignment angles (yaw counterclockwise) are more efficient in achieving wind farm power increases in the northern hemisphere, due to the effect of the Coriolis force. Thus, we set: γ i min = 0 • , γ i max = 30 • .…”

Section: Problem Statementmentioning

confidence: 91%

Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model

Deng

Huo

et al. 2023

Energies

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In recent years, a major focus on wind farm wake control is to maximise the production of wind farms. To improve the power generation efficiency of wind farms through wake regulation, this study investigates yaw optimisation for wind farm production maximisation from the perspective of time-varying wakes. To this end, we first deduce a simplified dynamic wake model according to the momentum conservation theory and backward difference method. The accuracy of the proposed model is verified by simulation comparisons. Then, the time lag of wake propagation and its impact on wind farm production maximisation through wake meandering is analysed. On this basis, a yaw optimisation method for increasing wind farm energy capture is presented. This optimisation method uses the proposed dynamic wake model for wind farm prediction. The results indicate that the optimisation period is critical to the effect of the optimisation method on wind farm energy capture.

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Section: Problem Statementmentioning

confidence: 91%

Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model

Deng

Huo

et al. 2023

Energies

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“…The results of large eddy simulation showed that the dimensionless mean velocity and Reynolds stress curves in the wake of HAWT show selfsimilarity through an appropriate choice of characteristic scales of velocity and length. In recent years, numerous efforts have been spent on the wake characteristics and the establishment of wake models for HAWTs (Noura et al 2016;Belkheir et al 2012;Dahmouni et al 2017;Kabir et al 2019;Qian et al 2022). However, the research on the wake characteristics of VAWT is not as extensive as that of HAWTs (Paraschivoiu 2002).…”

Section: Introductionmentioning

confidence: 99%

Self-similarity Characteristics of Vertical Axis Wind Turbine Wakes

2022

JAFM

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Wake generated by wind turbine can greatly influence the performance of downstream turbine. To better understand the wake self-similarity characteristics of vertical axis wind turbine (VAWT), the shear stress transport (SST) turbulence model with the addition of the γ-Reθ transition model is performed to model a twoblade VAWT at different operating conditions. The simulated blade surface pressure and torque are compared with existing experimental results for validation. Results show that, the simulated results after considering the transition model are more consistent with the experimental results. Analysis of the flow field shows that the average streamwise velocity of the wake in the horizontal plane under different tip speed ratios is asymmetry, but symmetric in the vertical plane. Further analysis indicates that, at different downstream positions, the nondimensional streamwise velocity deficit in the vertical plane remains self-similarity and basically coincides with the Gaussian distribution curve exclude the wake edges. In addition, the larger the tip speed ratio, the easier streamwise velocity deficit reach self-similarity state at downstream of the VAWT. The results of this study will be helpful to establish the wake model of the VAWT.

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“…A WRF based large eddy simulation (LES) model with control strategies was developed to consider the local atmospheric condition above complex terrains in (Wang et al 2020). A control-oriented LES model was designed to simulate the wind turbine wake, considering the Coriolis force, in (Qian et al 2022). Nevertheless, these numerical simulation methods use a one-directional coupling from the flow to the turbine, where the effects that turbines have on the surrounding wind field are not be considered.…”

Section: Introductionmentioning

confidence: 99%

A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions

Feng¹,

Wingerden²,

Y.³

2022

Trends in Renewable Energies Offshore

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Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extremely challenging to evaluate the controller performance with regard to the effect of the variation of local atmospheric conditions. On the other side, it is too late and costly to wait until field test time. To fill this gap, in this paper, we develop a control-oriented turbine dynamic simulation framework to evaluate the controller performance considering the perturbation of local atmospheric conditions. This goal is achieved by integrating an internal wind turbine (IWT) model in the Weather Research and Forecasting (WRF) simulation tool. The proposed framework is implemented on a 5MW reference wind turbine, where the effects of the local atmospheric conditions are illustrated. The controller performance results are compared with those derived from the Fatigue, Aerodynamics, Structures,and Turbulence (FAST) simulator as a validation. Simulation results show that the proposed WRF-IWT model is able to capture the turbine dynamics and controller performance regarding the perturbation of the complex local atmospheric conditions. The proposed framework can be leveraged to assist in designing controllers, which is more applicable to real-world wind conditions.

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A control-oriented large eddy simulation of wind turbine wake considering effects of Coriolis force and time-varying wind conditions

Cited by 29 publications

References 32 publications

Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model

Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model

Self-similarity Characteristics of Vertical Axis Wind Turbine Wakes

A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions

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