Self-Healing of Wind Turbine Blades by Pressurized Delivery of Healing Agent

2020 ◽  
Vol 142 (8) ◽  
Author(s):  
Rulin Shen ◽  
Meijian Ren ◽  
Ryoichi S. Amano ◽  
Mingjun Long ◽  
Yanling Gong
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Turbine Blades ◽  
Wind Turbine Blade ◽  
The Self ◽  
Peristaltic Pump ◽  
Self Healing ◽  
Wind Turbine Blades ◽  
Healing Effect ◽  
Healing Agent

Abstract Self-healing is a promising way to solve the difficulty in wind turbine blades repair, yet the embedded healing agent may have a disadvantage because of being exposed to outdoor for a long time. Pressurized delivery of the healing agent in real-time when the blade is damaged may be the solution to avoid the disadvantage healing agent. In this paper, the healing agent was pumped to the damaged area by a peristaltic pump, and the healing effect was evaluated by the recovery rate of the residual flexural strength after impact and the image of ultrasonic C-scan. To evaluate the healing effect of different damage degrees, 10 J, 15 J, 20 J, and 25 J impact energies were applied. The fluid tracer test showed that the healing agent could penetrate in the damaged areas after the impact of 15 J, 20 J and 25 J, while the three-point bending test revealed that the healing efficiency was the highest with 20 J (85.2%). The ultrasonic C-scan and optical photos of the sample showed that the images of the healing area were almost consistent with those of the un-impacted area, indicating that the damaged area is healed well. Based on the success of plate samples, the self-healing of the wind turbine blade-scale prototype was then carried out. Twenty-joule impact was exerted on the blade prototype, and the healing agent was pumped to the damaged area using the peristaltic pump similar to the same procedure as that of the plate specimen. Ultrasonic C-scan and optical images of the damaged area showed that the prototype was healed well in comparison with those of the plate specimens, indicating that the application of pressurized delivery of the healing agent system in the self-healing of wind turbine blade prototype was successful.

Machine Learning Aided Prediction of Rain Erosion Damage on Wind Turbine Blade Sections

2021 ◽  
Author(s):  
Alessio Castorrini ◽  
Paolo Venturini ◽  
Fabrizio Gerboni ◽  
Alessandro Corsini ◽  
Franco Rispoli
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Energy Production ◽  
Turbine Blades ◽  
Wind Farms ◽  
Wind Turbine Blade ◽  
Wind Turbine Blades ◽  
Coating Materials ◽  
Erosion Modelling ◽  
Rain Erosion

Abstract Rain erosion of wind turbine blades represents an interesting topic of study due to its non-negligible impact on annual energy production of the wind farms installed in rainy sites. A considerable amount of recent research works has been oriented to this subject, proposing rain erosion modelling, performance losses prediction, structural issues studies, etc. This work aims to present a new method to predict the damage on a wind turbine blade. The method is applied here to study the effect of different rain conditions and blade coating materials, on the damage produced by the rain over a representative section of a reference 5MW turbine blade operating in normal turbulence wind conditions.

Design and Analysis of Wind Turbine Blades: Winglet, Tubercle, and Slotted

2013 ◽  
Author(s):  
Alka Gupta ◽  
Abdulrahman Alsultan ◽  
R. S. Amano ◽  
Sourabh Kumar ◽  
Andrew D. Welsh
Keyword(s):  
Power Generation ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Alternative Energy ◽  
Turbine Blades ◽  
Three Dimensional ◽  
Wind Turbine Blade ◽  
Wind Turbine Blades ◽  
Wind Speeds ◽  
Governing Factor

Energy is the heart of today’s civilization and the demand seems to be increasing with our growing population. Alternative energy solutions are the future of energy, whereas the fossil-based fuels are finite and deemed to become extinct. The design of the wind turbine blade is the main governing factor that affects power generation from the wind turbine. Different airfoils, angle of twist and blade dimensions are the parameters that control the efficiency of the wind turbine. This study is aimed at investigating the aerodynamic performance of the wind turbine blade. In the present paper, we discuss innovative blade designs using the NACA 4412 airfoil, comparing them with a straight swept blade. The wake region was measured in the lab with a straight blade. All the results with different designs of blades were compared for their performance. A complete three-dimensional computational analysis was carried out to compare the power generation in each case for different wind speeds. It was found from the numerical analysis that the slotted blade yielded the most power generation among the other blade designs.

Research on Wind Turbine Blade Loads and Dynamics Factors

2014 ◽  
Vol 1014 ◽  
pp. 124-127
Author(s):  
Zhi Qiang Xu ◽  
Jian Huang
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Wind Turbines ◽  
Mechanical Energy ◽  
Turbine Blades ◽  
Electrical Energy ◽  
Wind Turbine Blade ◽  
Strength Analysis ◽  
Wind Turbine Blades ◽  
Turbine Wheel

Wind turbines consists of three key parts, namely, wind wheels (including blades, hub, etc.), cabin (including gearboxes, motors, controls, etc.) and the tower and Foundation. Wind turbine wheel is the most important part ,which is made up of blades and hubs. Blade has a good aerodynamic shape, which will produce aerodynamic in the airflow rotation, converting wind energy into mechanical energy, and then, driving the generator into electrical energy by gearbox pace. Wind turbine operates in the natural environment, their load wind turbine blades are more complex. Therefore load calculations and strength analysis for wind turbine design is very important. Wind turbine blades are core components of wind turbines, so understanding of their loads and dynamics by which the load on the wind turbine blade design is of great significance.

scholarly journals Preparation and Anti-Icing of Hydrophobic Polypyrrole Coatings on Wind Turbine Blade

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Bin Qu ◽  
Zhou Sun ◽  
Fang Feng ◽  
Yan Li ◽  
Guoqiang Tong ◽  
...  
Keyword(s):  
Contact Angle ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Water Contact Angle ◽  
Turbine Blades ◽  
Wind Turbine Blade ◽  
Wind Turbine Blades ◽  
Water Contact

This paper describes the method of preparing strong hydrophobic polypyrrole (PPy) on wind turbine blades. The water contact angle of strong hydrophobic PPy coatings was 127.2°. The strong hydrophobic PPy coatings exhibited excellent anti-icing properties. The maximum icing weight of strong hydrophobic PPy coating blade was almost 0.10 g while the maximum icing weight of no coating blade was found to be 26.13 g. The maximum icing thickness of a strong hydrophobic PPy coating blade was only 1.08 mm. The current research will provide a better technique to create anti-icing coatings on wind turbine blades and other outdoor equipment.

scholarly journals Bionic Design of Wind Turbine Blade Based on Long-Eared Owl’s Airfoil

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Weijun Tian ◽  
Zhen Yang ◽  
Qi Zhang ◽  
Jiyue Wang ◽  
Ming Li ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Lift Coefficient ◽  
Turbine Blades ◽  
Lower Surface ◽  
Aerodynamic Characteristics ◽  
Wind Turbine Blade ◽  
Wind Turbine Blades ◽  
Bionic Design ◽  
Bionic Blade

The main purpose of this paper is to demonstrate a bionic design for the airfoil of wind turbines inspired by the morphology of Long-eared Owl’s wings. Glauert Model was adopted to design the standard blade and the bionic blade, respectively. Numerical analysis method was utilized to study the aerodynamic characteristics of the airfoils as well as the blades. Results show that the bionic airfoil inspired by the airfoil at the 50% aspect ratio of the Long-eared Owl’s wing gives rise to a superior lift coefficient and stalling performance and thus can be beneficial to improving the performance of the wind turbine blade. Also, the efficiency of the bionic blade in wind turbine blades tests increases by 12% or above (up to 44%) compared to that of the standard blade. The reason lies in the bigger pressure difference between the upper and lower surface which can provide stronger lift.

scholarly journals Aerodynamic Analysis on Wind Turbine Aerofoil

2018 ◽  
Vol 7 (3.27) ◽  
pp. 456
Author(s):  
Albi . ◽  
M Dev Anand ◽  
G M. Joselin Herbert
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Cfd Simulation ◽  
Turbine Blades ◽  
Wind Turbine Blade ◽  
Wind Turbine Blades ◽  
Ansys Fluent ◽  
Wind Speeds ◽  
Drag Forces ◽  
Lift And Drag

The aerofoils of wind turbine blades have crucial influence on aerodynamic efficiency of wind turbine. There are numerous amounts of research being performed on aerofoils of wind turbines. Initially, I have done a brief literature survey on wind turbine aerofoil. This project involves the selection of a suitable aerofoil section for the proposed wind turbine blade. A comprehensive study of the aerofoil behaviour is implemented using 2D modelling. NACA 4412 aerofoil profile is considered for analysis of wind turbine blade. Geometry of this aerofoil is created using GAMBIT and CFD analysis is carried out using ANSYS FLUENT. Lift and Drag forces along with the angle of attack are the important parameters in a wind turbine system. These parameters decide the efficiency of the wind turbine. The lift force and drag force acting on aerofoil were determined with various angles of attacks ranging from 0° to 12° and wind speeds. The coefficient of lift and drag values are calculated for 1×105 Reynolds number. The pressure distributions as well as coefficient of lift to coefficient of drag ratio of this aerofoil were visualized. The CFD simulation results show close agreement with those of the experiments, thus suggesting a reliable alternative to experimental method in determining drag and lift.

Dynamic behaviour of wind turbine blades

2008 ◽  
Vol 222 (8) ◽  
pp. 1453-1464 ◽  
Author(s):  
Ming-Hung Hsu
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Dynamic Behaviour ◽  
Differential Quadrature Method ◽  
Turbine Blades ◽  
Differential Quadrature ◽  
Wind Turbine Blade ◽  
Wind Turbine Blades ◽  
Discrete Eigenvalue ◽  
Euler Bernoulli Beam

Wind power does not generate pollution and is a clean source. The dynamic problems associated with wind turbine blades are formulated using the differential quadrature method. The Euler—Bernoulli beam paradigm is used to characterize wind turbine blades. The differential quadrature technique is utilized to transform partial differential equations, which presents the dynamic behaviour of wind turbine blades, into a discrete eigenvalue problem. The effects of the number of sample points on the accuracy of the calculated natural frequencies are studied. Numerical results show that the rotational speed impacts significantly the first frequency of the wind turbine blade. The pitch angle could not markedly affect wind turbine blade frequencies.

scholarly journals Performance Enhancement of Wind Turbine

2019 ◽  
Vol 9 (2) ◽  
pp. 43-46
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Performance Enhancement ◽  
Turbine Blades ◽  
Wind Turbine Blade ◽  
Static Fatigue ◽  
Wind Turbine Blades ◽  
Simulink Model ◽  
Epoxy Material ◽  
And Performance

Wind turbine performance and efficiency used to face big challenges due to the highly random nature of the wind and its own small size. Wind turbine blade geometry has direct implications on the load bearing response and performance of the blade. New Wind Turbine Blade was modelled and detailed analysis was done using Ansys and Matlab. Static, Fatigue, Vibration, Computational Fluid Dynamics and Simulink Analysis was done to compare the performance of both wind turbine blades. Velocity of 83.33 m/sec have been incorporated for analysis. Various different Mathematical Equations and proper methodology was carried out to enhance the performance of Wind Turbine. Simulink Model was designed to optimize the performance of Wind Turbine. High Lift to Drag Parameter is optimized for proper Efficiency of Wind Turbine. Turbine blades are twisted so they can always present an angle that take advantages of the ideal lift-to-drag ratio. Optimization of Tower Design was carried out to enhance the performance of wind turbine. Better energy Production parameter is solved by the analysis and Simulation. Simulink Model was designed to optimize the performance of Wind Turbine. Simulink Output results shows the output of Electromagnetic Torque, Stator Current and Rotor Speed. Stress vs Strain Graph was plotted for both designed wind Turbine blades. Coefficient of drag graph was plotted to conclude the performance of Wind Turbine Blades. Turbulence behaviour is observed for both the wind turbine blades to validate the performance of Wind Turbine blades. Epoxy Material is considered for Wind Turbine blades.

scholarly journals PSO-BP Neural Network-Based Strain Prediction of Wind Turbine Blades

Materials ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 1889 ◽  
Author(s):  
Xin Liu ◽  
Zheng Liu ◽  
Zhongwei Liang ◽  
Shun-Peng Zhu ◽  
José A. F. O. Correia ◽  
...  
Keyword(s):  
Neural Network ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Turbine Blades ◽  
Full Scale ◽  
Wind Turbine Blade ◽  
Blade Design ◽  
Wind Turbine Blades ◽  
Static Testing ◽  
Bpnn Model

The full-scale static testing of wind turbine blades is an effective means to verify the accuracy and rationality of the blade design, and it is an indispensable part in the blade certification process. In the full-scale static experiments, the strain of the wind turbine blade is related to the applied loads, loading positions, stiffness, deflection, and other factors. At present, researches focus on the analysis of blade failure causes, blade load-bearing capacity, and parameter measurement methods in addition to the correlation analysis between the strain and the applied loads primarily. However, they neglect the loading positions and blade displacements. The correlation among the strain and applied loads, loading positions, displacements, etc. is nonlinear; besides that, the number of design variables is numerous, and thus the calculation and prediction of the blade strain are quite complicated and difficult using traditional numerical methods. Moreover, in full-scale static testing, the number of measuring points and strain gauges are limited, so the test data have insufficient significance to the calibration of the blade design. This paper has performed a study on the new strain prediction method by introducing intelligent algorithms. Back propagation neural network (BPNN) improved by Particle Swarm Optimization (PSO) has significant advantages in dealing with non-linear fitting and multi-input parameters. Models based on BPNN improved by PSO (PSO-BPNN) have better robustness and accuracy. Based on the advantages of the neural network in dealing with complex problems, a strain-predictive PSO-BPNN model for full-scale static experiment of a certain wind turbine blade was established. In addition, the strain values for the unmeasured points were predicted. The accuracy of the PSO-BPNN prediction model was verified by comparing with the BPNN model and the simulation test. Both the applicability and usability of strain-predictive neural network models were verified by comparing the prediction results with simulation outcomes. The comparison results show that PSO-BPNN can be utilized to predict the strain of unmeasured points of wind turbine blades during static testing, and this provides more data for characteristic structural parameters calculation.

A New Vascular System Highly Efficient in the Storage and Transport of Healing Agent for Self-Healing Wind Turbine Blades

2019 ◽  
Vol 141 (5) ◽  
Author(s):  
Rulin Shen ◽  
Ryoichi S. Amano ◽  
Giovanni Lewinski ◽  
Arun Kumar Koralagundi Matt
Keyword(s):  
Wind Tunnel ◽  
Wind Turbine ◽  
Vascular System ◽  
Copper Wire ◽  
Turbine Blades ◽  
Real Life ◽  
Transport Processes ◽  
Self Healing ◽  
Wind Turbine Blades ◽  
Healing Agent

Self-healing wind turbine blades offer a substantial offset for costly blade repairs and failures. We discuss the efforts made to optimize the self-healing properties of wind turbine blades and provide a new system to maximize this offset. Copper wire coated by paraffin wax was embedded into fiber-reinforced polymer (FRP) samples incorporated with Grubbs' first-generation catalyst. The wires were extracted from cured samples to create cavities that were then injected with the healing agent, dicyclopentadiene (DCPD). Upon sample failure, the DCPD and catalyst react to form a thermosetting polymer to heal any crack propagation. Three-point bending flexural tests were performed to obtain the maximum flexural strengths of the FRP samples before and after recovery. Using those results, a hierarchy of various vascular network configurations was derived. To evaluate the healing system's effect in a real-life application, a prototype wind turbine was fabricated and wind tunnel testing was conducted. Using ultraviolet (UV) dye, storage and transport processes of the healing agent were observed. After 24 h of curing time, Raman spectroscopy was performed. The UV dye showed dispersion into the failure zone, and the Raman spectra showed the DCPD was polymerized to polydicyclopentadiene (PDCPD). Both the flexural and wind tunnel test samples were able to heal successfully, proving the validity of the process.

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