Effects of the particle Stokes number on wind turbine airfoil erosion

Li, Yinran; Li, Rennian; Wang, Qing; Li, Deshun; Zhao, Zhen-Xi; Li, Ye

doi:10.1007/s10483-018-2267-6

Cited by 17 publications

(10 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Stokes number is defined as the ratio of particle relaxation within a flow (τ p ) to the Kolmogorov time scale (τ η ) of the carrier flow. Varying parameters such as wind velocity and angle of attack showed little effect on level of blade erosion when Stokes number was held at 0.15 [24].…”

Section: Debris Impactsmentioning

confidence: 96%

“…These states are known for their expansive and open ranges, making them optimal locations for maximum turbine interaction with unimpeded, high velocity winds. On a day with clear skies and high winds, power generation is at peak efficiency for locations such as Blue Canyon wind farm in In addition to the damage particles such as dust, rain and other debris impose on wind farm equipment, they also can alter what would normally be considered steady flow within the array increasing the complexity within an already turbulent regime [6,24]. Turbulent boundary layers as inhabited by large-scale wind plants significantly affect power efficiency and wake propagation over the entire system.…”

Section: List Of Figuresmentioning

confidence: 99%

“…These studies speak to conditions within the wind plant in relatively stable conditions, but neglect the case of turbines subjected to unimpeded winds laden with debris such as rain, dust, and other dense materials. Numerous researchers have worked to quantify the effects of debris presence and impingement finding significant changes in productivity and longevity of wind turbines and turbine blades [23,39,24,17,12,9,6]. Corrigan and DeMiglio performed one of the first field experiments to identify rainfall-induced performance degradation [10].…”

Section: Debris Impactsmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic effects of inertial particles on the wake recovery of a model wind turbine

et al. 2021

View full text Add to dashboard Cite

Impacting particles such as rain, dust, and other debris can have devastating structural effects on wind turbines, but little is known about the interaction of such debris within turbine wakes. This study aims to characterize behavior of inertial particles within the turbulent wake of a wind turbine and relative effects on wake recovery. Here a model wind turbine is subjected to varied two-phase inflow conditions, with wind as the carrier fluid (Re λ = 49 − 88) and polydisperse water droplets (26 to 45 µm in diameter) at varied concentrations (Φ v = 0.24×10 −5-1.3×10 −5), comparing with sub-inertial particles that follow the inflow streamlines. Phase doppler interferometry (PDI) and particle image velocimetry (PIV) were employed at multiple downstream locations, centered with respect to turbine hub height. Analysis considers momentum and particle size distribution within the wake focusing on turbulence statistics and preferential concentration. PDI data show droplet size varied with wake location and volume fraction, and the inflow velocity of Re λ = 66.58 demonstrated Φ v-dependent increases in streamwise velocity deficits of 59.5% to 62.6% and 15.8% to 19.8% for near and far wake, respectively. PIV data indicated correlation of particle concentration to wake expansion and amplified downward trajectory over the entire interrogation field. Contributions to kinetic energy and momentum are diminished overall for inertial particle cases compared to single-phase, except turbulent momentum flux u v , where shearing effects are visible at the rotor top edge in near wake and concentrated magnitudes increase in far wake correlating with increased Φ v. Application of Voronoi analysis identified clustering behavior in far wake and was validated as motivation for future studies.

show abstract

Section: Debris Impactsmentioning

confidence: 96%

Section: List Of Figuresmentioning

confidence: 99%

Section: Debris Impactsmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic effects of inertial particles on the wake recovery of a model wind turbine

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Eisenberg et al 18 developed an analytical surface fatigue model to estimate the initiation of leading edge erosion on wind turbine blade coatings due to rainfall. Li et al 19 have developed a numerical simulation to investigate the effect of the wind speed, droplet size, and density on the erosion of wind turbine airfoils. A further experimental and simulation work has been offered by Maniaci et al 20 Here, the authors have first measured the surface roughness and erosion pattern of several wind turbine blades, then they statistically reproduced these patterns on representative tip and mid‐span blade strips in wind tunnel tests.…”

Section: Introductionmentioning

confidence: 99%

Machine learnt prediction method for rain erosion damage on wind turbine blades

et al. 2021

View full text Add to dashboard Cite

This paper proposes a paradigm shift in the numerical simulation approach to predict rain erosion damage on wind turbine blades, given the blade geometry, its coating material, and the atmospheric conditions (wind and rain) expected at the installation site. Contrary to what has been done so far, numerical simulations (flow field and particle tracking) are used not to study a specific (wind and rain) operating condition but to build a large database of possible operating conditions of the blade section. A machine learning algorithm, trained on this database, defines a prediction module that gives the feature of the impact pattern over the 2-D section, given the wind and rain flow. The advantage of this approach is that the prediction becomes much faster than using the standard simulations; thus, the study of a large set of variable operating conditions becomes possible. The module, coupled with an erosion model, is used to compute the erosion damage of the blade working on specific installation site. In this way, the variations of the flow conditions due to dynamic effects such as variable wind, wind turbulence, and turbine control can be also considered in the erosion computation. Here, we describe the method, the database creation, and the development of the prediction tool. Then, the method is applied to predict the erosion damage on a blade section of a reference wind turbine, after one year of operation in a rainy onshore site. Results are in good agreement with on field observations, showing the potential of the approach.

show abstract

“…To investigate the effects of rain erosion, scholars used the model of Springer et al, 10 and the model of Oka et al 11 was used to study the effects of sand erosion and the influence of two-phase flow on the aerodynamic performance of airfoils. Li et al 12 studied the kinetic characteristics of particles in the whole flow field and the influence of sand-wind flow on the aerodynamic performance of airfoils, and the results showed that with the increase in the particle diameter, the followability of particles becomes worse, and the aerodynamic performance of airfoils decreases. Also, Douvi 13 conducted a numerical simulation to study the effect of sand-wind two-phase flow on an S809 airfoil under 1 × 10 6 and 2 × 10 6 Reynolds numbers, and the results showed that with the increase in the particle volume fraction, the lift coefficient decreases, and the drag coefficient increases.…”

Section: Introductionmentioning

confidence: 99%

Research on aerodynamic characteristics of wind turbine airfoil and blade in sand‐wind environment

Chen

et al. 2020

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

In Northwest China, wind resources are especially abundant, but this area is also seriously affected by sandy environments, so any wind turbines in this area are definitely affected by the sand-wind flow. Therefore, the shear stress transport k-ω turbulence model and discrete phase model are both used for the simulation of an S809 airfoil to study the influence of sandy environments on the aerodynamic performance. Based on this, the modified blade element momentum theory will be used to design wind turbines that can operate in both clean air and sandy environments and study the influence of sandy environments on wind turbine performance. The results show that the influence of the sand-wind environment on the aerodynamic performance of the airfoil is as follows. In the particle diameter range of 5 to 30 μm, as the particle diameter increases, the lift coefficient decreases, and the drag coefficient increases. However, in the particle diameter range of 30 to 100 μm, the change is just the opposite. At the same time, as the increase of particle mass concentration, the lift coefficient of the airfoil decreases, and the drag coefficient significantly increases. Also with the increase of equivalent density, the change is just the opposite. Moreover, the influence of sandy environments on the performance of wind turbines is found to be as follows. At low wind speeds, the power output of the sandy turbine is greater than that of the clean turbine when they run in a sandy environment. Also, it is found that whether wind turbines run at high or low wind speeds, the thrust of sandy turbine is less than that of clean turbine when they run in sandy environments.

show abstract

Effects of the particle Stokes number on wind turbine airfoil erosion

Cited by 17 publications

References 15 publications

Dynamic effects of inertial particles on the wake recovery of a model wind turbine

Dynamic effects of inertial particles on the wake recovery of a model wind turbine

Machine learnt prediction method for rain erosion damage on wind turbine blades

Research on aerodynamic characteristics of wind turbine airfoil and blade in sand‐wind environment

Contact Info

Product

Resources

About