Investigation of Wind Turbine Wakes over Complex Terrain Based on Actuator Disk Method

Zheng, Kuan; Tian, Wei; Qin, Jiang; Hu, Hui

doi:10.2514/6.2017-4073

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…The advantage of the model is its lower computational cost. Apart from these, other numerical studies have been carried out both for real complex terrain (Schulz et al 2014;Yang et al 2014c;Castellani et al 2015Castellani et al , 2017Berg et al 2017;Wagner et al 2019) and idealized hills (Yang et al 2015;Zheng et al 2017).…”

Section: Topographymentioning

confidence: 99%

Wind-Turbine and Wind-Farm Flows: A Review

Porté‐Agel

Bastankhah

Shamsoddin

2019

Boundary-Layer Meteorol

700

414

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Wind energy, together with other renewable energy sources, are expected to grow substantially in the coming decades and play a key role in mitigating climate change and achieving energy sustainability. One of the main challenges in optimizing the design, operation, control, and grid integration of wind farms is the prediction of their performance, owing to the complex multiscale two-way interactions between wind farms and the turbulent atmospheric boundary layer (ABL). From a fluid mechanical perspective, these interactions are complicated by the high Reynolds number of the ABL flow, its inherent unsteadiness due to the diurnal cycle and synoptic-forcing variability, the ubiquitous nature of thermal effects, and the heterogeneity of the terrain. Particularly important is the effect of ABL turbulence on wind-turbine wake flows and their superposition, as they are responsible for considerable turbine power losses and fatigue loads in wind farms. These flow interactions affect, in turn, the structure of the ABL and the turbulent fluxes of momentum and scalars. This review summarizes recent experimental, computational, and theoretical research efforts that have contributed to improving our understanding and ability to predict the interactions of ABL flow with wind turbines and wind farms.

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Section: Topographymentioning

confidence: 99%

Wind-Turbine and Wind-Farm Flows: A Review

Porté‐Agel

Bastankhah

Shamsoddin

2019

Boundary-Layer Meteorol

700

414

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“…Since then, only a small handful of papers concerning the 3D wind farm layout optimisation problem with complex terrain have been published. These include the work of M. Song [13]- [15] who developed the "virtual particle" model; approaches that combine turbine-free CFD wind flow simulations with 2D wake models [16], [17]; and one approach that models a single turbine in different positions using CFD and then combines the simulation outputs together so that an overall estimate of the performance of multiple turbines can be made [18].…”

Section: Introductionmentioning

confidence: 99%

“…There are two main reasons for excluding turbines from the present study: (i) some existing methods for 3D wind farm layout optimisation use only turbine-free flow models anyway (e.g. the work of Feng [16] and Zheng [17] mentioned above, so our techniques could speed up their approaches); and (ii) the turbine-free wind flow prediction problem is itself difficult to solve and if we can make progress on this simpler form of the problem, then we can add turbines and their wakes to the CFD simulations at a later date.…”

Section: Introductionmentioning

confidence: 99%

Neural Networks for Predicting the Output of wind flow Simulations Over Complex Topographies

Mayo¹,

Wakes²,

Anderson³

2018

2018 IEEE International Conference on Big Knowledge (ICBK)

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We use deep learning techniques to model computational fluid dynamics (CFD) simulations of wind flow over a complex topography. Our motivation is to "speed up" the optimisation of CFD-based simulations (such as the 3D wind farm layout optimisation problem) by developing surrogate models capable of predicting the output of a simulation at any given point in 3D space, given output from a set of training simulations that have already been run. Our promising results using TensorFlow show that deep neural networks can be learned to model CFD outputs with an error of as low as 2.5 meters per second.

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CFD-Type Wake Models

Witha¹

2021

Handbook of Wind Energy Aerodynamics

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Investigation of Wind Turbine Wakes over Complex Terrain Based on Actuator Disk Method

Cited by 4 publications

References 17 publications

Wind-Turbine and Wind-Farm Flows: A Review

Wind-Turbine and Wind-Farm Flows: A Review

Neural Networks for Predicting the Output of wind flow Simulations Over Complex Topographies

CFD-Type Wake Models

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