Investigating the influence of dimensional scaling on aerodynamic characteristics of wind turbine using CFD simulation

Giahi, Mohammad Hossein; Dehkordi, Ali Jafarian

doi:10.1016/j.renene.2016.05.059

Cited by 38 publications

(9 citation statements)

References 7 publications

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“…With the help of wind tunnel tests, reduced-scale wind tunnel tests were carried out to reproduce as much details as possible of the surrounding roughness and site topography, and the wind characteristics, including the effects of local terrain roughness and topography of the terrains, were investigated (Li et al, 2017a(Li et al, , 2017bMattuella et al, 2016). With the development of computer science, many research have launched numerical simulation to investigate the local flow parameters of the site's surrounding topography (Giahi and Jafarian Dehkordi, 2016;Hu et al, 2016;Ramechecandane and Gravdahl, 2012). Based on the numerical simulation method, the variation in wind field characteristics under the influence of thermal effects at a bridge site in a deep-cut canyon with high-altitude and temperature difference was also studied (Zhang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Comparison of wind characteristics at different heights of deep-cut canyon based on field measurement

Zhang

et al. 2019

Advances in Structural Engineering

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The typical U-shaped deep-cut canyon is widely distributed in the western mountainous areas of China, especially in Sichuan province and Yunnan province. The deep-cut canyon has the characteristics of the high drop in elevation, high-temperature difference, and complex wind environment. A 50 m high meteorological mast with a total of eight anemometers was erected in such topography, and a long-span suspension bridge will be constructed in the area where the meteorological mast is located. Based on the long-term monitor data, the wind characteristic parameters including average and fluctuating wind characteristics and coherence between different heights are investigated. The results are as follows. The dominant wind direction which depends on the topography is north–south. The attack angle of wind is mainly less than zero, and its probability distribution obeys the hypothetical Gaussian distribution. Both the increases in height of anemometer and in wind speed reduce the dispersion of the attack angle of wind. The gust factor has a similar change law of attack angle of wind. Turbulence intensities are affected by the height of the anemometer and the wind speed, and they are different from the recommended value of China Codes. In terms of turbulence integral length scale, the value increases with an increase in the height of the anemometer in the same component. The largest value occurs in the longitudinal direction and the smallest occurs in the vertical direction at the same level. The coherence between any two locations is relatively strong, and the longitudinal component is stronger than others. The measured wind power spectrum for longitudinal, lateral, and vertical wind in deep-cut canyon fits the von Kármán model better.

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Section: Introductionmentioning

confidence: 99%

Comparison of wind characteristics at different heights of deep-cut canyon based on field measurement

Zhang

et al. 2019

Advances in Structural Engineering

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“…Sanderse et al [12] studied wakes in wind farms, observing a loss of up to 40% during full-wake conditions. Similar studies on turbine wakes and the effects on downstream turbines can be found in Skakoor et al [13], Hansen et al [14] and Giahi & Dehkodi [15]. In Hansen et al [14], the impact of turbulence intensity and atmospheric stability on wind power deficits (errors) due to wind turbine wakes was explored.…”

Section: Introductionmentioning

confidence: 70%

“…In Hansen et al [14], the impact of turbulence intensity and atmospheric stability on wind power deficits (errors) due to wind turbine wakes was explored. Giahi & Dehkordi [15] based on a CFD simulation of a 2 MW National Renewable Energy Laboratory (NREL) turbine concluded that torque increased with the cube of change of rotor diameter, while aerodynamic forces increased by a square factor of change in diameter. Cai et al [16] used a combination of the basic Blade Element Momentum (BEM) and CFD codes for modeling wind flow with respect to the turbine body itself.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Computational Fluid Dynamic Study on the Effects of Terrain Type on Hub-Height Wind Aerodynamic Properties

Abolude

Zhou

2018

Energies

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The increased adoption of wind power has generated global discourse in wind energy meteorology. Studies based on turbine performances show a deviation of actual output from power curve output, thereby yielding errors irrespective of the turbine site. Understanding the cause of these errors is essential for wind power optimization, thus necessitating investigation into site-specific effects on turbine performance and operation. Therefore, Computational Fluid Dynamics simulations of hub-height wind aerodynamic properties were conducted based on the k-ε turbulence closure model Reynolds Averaged Navier Stokes equations for three terrains. To isolate terrain-induced effects, the same 40 m above mean sea level wind climatology was imposed on all three terrains. For the four wind directions considered, turbulence intensity (TI) was least in the offshore terrain at about 5–7% but ranged considerably higher from 4–18% for the coastal and island terrain. TI on crests also increased significantly by up to 15% upstream of wind direction for the latter terrains. Inflow angle ranged from −15° to +15° in both coastal and island terrains but remained at <+1° in the offshore terrain. Hellman exponent increased from between factors of 2–4 in the other two terrains relative to that of the offshore terrain. Wind speed-up varied from about 1.06–1.13, accounting for a range of 17–30% difference in power output from a hypothetical operational 2 MW turbine output placed in the three different terrains. Turbine loading, fatigue, efficiency, and life cycle can also be impacted by the variations noted. While adopting a site-specific power curve may help minimize errors and losses, collecting these aerodynamic data alongside wind speed and direction is the future for wind power optimization under big data and machine learning.

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“…They found that, compared to the static state, the lift coefficients of the dynamic state had larger values than those in the increasing direction of angle of attack. Giahi, and Dehkordi [23] studied the effects of scaling on wind turbine characteristics, including shaft torque, thrust, and aerodynamic forces on the blade. Their results revealed that the torque increases with the cube of change in rotor diameter, whereas the thrust value and aerodynamic forces rise with the square change in diameter.…”

Section: Introductionmentioning

confidence: 99%

Large Eddy Simulation of flow around a single and two in-line horizontal-axis wind turbines

Allah

Mayam²

2017

Energy

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A Large Eddy Simulation (LES) has been employed in order to study the flow field in a single-wind turbine and in two in-line wind turbines. The present study focuses on the flow around a horizontal axis wind turbine in a virtual wind tunnel. The anisotropic residual stress tensor is driven by the Smagorinsky model. The results are consistent with experimental data presented in literature. Streamwise velocity is increased and cross stream velocity is decreased as wake moves in downstream direction. A faster rate of wake recovery is seen for the two in-line setup. The results reveal that turbulence intensity is increased by increasing the downstream distance and two in-line turbines show greater intensity. Wind turbine performance can be affected by the turbulent structures. If this phenomenon occurs, information about turbulent structures would be useful in order to investigate the effect of turbulent structures on wind turbine performance. As a result, we aim to reveal the effect of turbulent structures, by using the ci  technique in this study, and to investigate the performance of wind turbines in different conditions. Furthermore, the effects of blade rotation direction are studied in this paper. It is concluded that wind turbine efficiency is increased by 4%.

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Investigating the influence of dimensional scaling on aerodynamic characteristics of wind turbine using CFD simulation

Cited by 38 publications

References 7 publications

Comparison of wind characteristics at different heights of deep-cut canyon based on field measurement

Comparison of wind characteristics at different heights of deep-cut canyon based on field measurement

A Comparative Computational Fluid Dynamic Study on the Effects of Terrain Type on Hub-Height Wind Aerodynamic Properties

Large Eddy Simulation of flow around a single and two in-line horizontal-axis wind turbines

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