scholarly journals Parameterized Vertical-Axis Wind Turbine Wake Model Using CFD Vorticity Data

2016 ◽  
Author(s):  
Eric B. Tingey ◽  
Andrew Ning
Keyword(s):  
Wind Turbine ◽  
Vertical Axis ◽  
Vertical Axis Wind Turbine ◽  
Wake Model ◽  
Turbine Wake ◽  
Wind Turbine Wake

Development and scaling of a vertical axis wind turbine wake

2018 ◽  
Vol 174 ◽  
pp. 303-311 ◽  
Author(s):  
Hawwa Kadum ◽  
Sasha Friedman ◽  
Elizabeth H. Camp ◽  
Raúl Bayoán Cal
Keyword(s):  
Wind Turbine ◽  
Vertical Axis ◽  
Vertical Axis Wind Turbine ◽  
Turbine Wake ◽  
Wind Turbine Wake

Swept Blade for Performance Improvement on a Vertical Axis Wind Turbine

2020 ◽  
Author(s):  
Jie Su ◽  
Yaoran Chen ◽  
Dai Zhou ◽  
Zhaolong Han ◽  
Yan Bao
Keyword(s):  
Wind Turbine ◽  
Wind Farm ◽  
Vertical Axis ◽  
Aerodynamic Performance ◽  
Power Coefficient ◽  
Vertical Axis Wind Turbine ◽  
Static Pressure Distribution ◽  
Low Wind Speed ◽  
Turbine Wake ◽  
Wind Turbine Wake

Abstract The vertical axis wind turbine (VAWT) is considered an important device to utilize the renewable and sustainable wind energy. However, the relatively lower power coefficient has hampered its development. Therefore, this paper attempts to investigate the effect of swept blade employed in a VAWT on the enhancement in aerodynamic performance. A series of swept blades were studied in a small VAWT rotor, and the RANS SST k-ω turbulence model was utilized to simulate the flow field. The numerical model was validated against experimental data, and the aerodynamic performance was investigated with respect to force coefficients, vorticity distribution, static pressure distribution, and wind turbine wake, respectively. The results indicated that the swept blade could effectively increase power outputs by about 20% for the wind turbine. By reducing the drag coefficient, a high lift-drag ratio was achieved. And this configuration prevented the blade from suffering severe dynamic stall. Besides, the swept blade changed the distribution of low wind speed area in the wind turbine wake, which should be considered in the wind farm. It was concluded that this work provided a new way for the practical design and optimization of wind turbine.

scholarly journals Development of a parameterized reduced-order vertical-axis wind turbine wake model

2019 ◽  
Vol 44 (5) ◽  
pp. 494-508 ◽  
Author(s):  
Eric B Tingey ◽  
Andrew Ning
Keyword(s):  
Wind Turbine ◽  
Wind Farm ◽  
Computational Cost ◽  
Vertical Axis ◽  
Speed Ratio ◽  
Vertical Axis Wind Turbine ◽  
Reduced Order ◽  
Wake Interactions ◽  
Wake Model ◽  
Turbine Wake

Analyzing or optimizing wind farm layouts often requires reduced-order wake models to estimate turbine wake interactions and wind velocity. We propose a wake model for vertical-axis wind turbines in streamwise and crosswind directions. Using vorticity data from computational fluid dynamic simulations and cross-validated Gaussian distribution fitting, we produced a wake model that can estimate normalized wake velocity deficits of an isolated vertical-axis wind turbine using normalized downstream and lateral positions, tip-speed ratio, and solidity. Compared with computational fluid dynamics, taking over a day to run one simulation, our wake model predicts a velocity deficit in under a second with an appropriate accuracy and computational cost necessary for wind farm optimization. The model agreed with two experimental studies producing percent differences of the maximum wake deficit of 6.3% and 14.6%. The wake model includes multiple wake interactions and blade aerodynamics to calculate power, allowing its use in wind farm layout analysis and optimization.

scholarly journals The Array Optimization of Vertical Axis Wind Turbine Based on a New Asymmetric Wake Model

2021 ◽  
Vol 9 (8) ◽  
pp. 820
Author(s):  
Zheng Yuan ◽  
Qihu Sheng ◽  
Ke Sun ◽  
Jun Zang ◽  
Xuewei Zhang ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Goal Function ◽  
Mean Amplitude ◽  
Vertical Axis ◽  
Good Choice ◽  
Vertical Axis Wind Turbine ◽  
Gaussian Functions ◽  
Array Optimization ◽  
Wake Model ◽  
Increasing Demand

With the increasing demand for wind energy, the vertical axis wind turbine (VAWT) is attracting more and more attention. In order to design the VAWT array for better performance, the VAWT wake model needs to reflect the wake characteristics well. Based on the asymmetric wake characteristic, a new VAWT wake model is proposed in this paper, which is a combination of two semi Gaussian functions with different deviations, and can be called the “double semi Gaussian functions wake model”. The model is simple and has only four parameters (mean, amplitude, left deviation and right deviation). Compared with the traditional Gaussian and Top-hat model, this model can better reflect the asymmetric characteristic of the VAWT wake. In particular, it can describe the behavior of wake merging in the case of counter-rotating twin turbines. Based on this wake model, the velocity field of VAWT array can be reproduced accurately. The goal function is mainly based on the performance of a basic array unit, and it can ensure the rapidity of the optimization process. The optimal arrangements under two different criteria are analyzed. Moreover, the truncation ratio is introduced to ensure that the downstream turbine works at the rated condition, and the optimal arrangements under different truncation ratios are analyzed. In this paper, the proposed wake model provides a good choice for the preliminary design of the VAWT array, and some relevant suggestions on the array arrangement have been put forward.

scholarly journals A stochastic wind turbine wake model based on new metrics for wake characterization

Wind Energy ◽  
2016 ◽  
Vol 20 (3) ◽  
pp. 449-463 ◽  
Author(s):  
Paula Doubrawa ◽  
Rebecca J. Barthelmie ◽  
Hui Wang ◽  
Matthew J. Churchfield
Keyword(s):  
Wind Turbine ◽  
Model Based ◽  
Wake Model ◽  
Turbine Wake ◽  
Wind Turbine Wake

scholarly journals Wind Turbine Wake Characterization with Nacelle-Mounted Wind Lidars for Analytical Wake Model Validation

2018 ◽  
Vol 10 (5) ◽  
pp. 668 ◽  
Author(s):  
Fernando Carbajo Fuertes ◽  
Corey Markfort ◽  
Fernando Porté-Agel
Keyword(s):  
Wind Turbine ◽  
Model Validation ◽  
Wake Model ◽  
Turbine Wake ◽  
Wind Turbine Wake
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