Blade Wear Control in Wind Turbines

Method to design flexible wind turbine blades that reduces weight and cost while improving stability. The method involves generating multiple blade design options based on basic parameters, calculating rigid center and aerodynamic center positions for each, finding designs with the rigid center in front of the aerodynamic center, and selecting the optimal design based on weighted criteria like weight, cost, load, and power generation. This aims to prevent torsional divergence and flutter by placing the rigid center in front of the aerodynamic center.

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Wind turbine blade design to reduce vibrations and improve efficiency by borrowing from nature. The blade has a bionic airfoil shape based on a cuckoo wing cross-section, and a V-shaped stripe pattern on the web surface inspired by cuckoo feathers. This coupled design suppresses blade flutter and reduces vibration displacement. The bionic airfoil improves lift and reduces drag, while the V-shaped stripes absorb vibration energy and hinder deformation. It allows higher loads and improves blade life.

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Integrated design method and system for wind turbine blades using isogeometric analysis. It aims to optimize blade design by simultaneously considering aerodynamics and structural engineering. The method involves using isogeometric analysis, a CAD technique that allows smooth transition between 2D and 3D models, to create a blade model. It then determines design variables for aerodynamics and structure, optimizes blade performance, and calibrates the variables. The optimization balances factors like lift, drag, loading, and blade weight. The method provides an efficient way to integrate aerodynamic and structural design of wind turbine blades for optimal overall performance.

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Optimizing the stiffness, weight, and cost of composite wind turbine blades using a step-by-step method that involves: (1) defining the blade stiffness, smoothness, and stability requirements, (2) creating a structural form model with regions, (3) selecting an optimal detailed numerical model for each region based on weight, cost, strength, and durability, (4) calculating conversion formulas between these parameters using historical data, and (5) iteratively refining the region models to optimize stiffness while minimizing weight and cost.

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A method to optimize and lengthen wind turbine blades to improve power generation efficiency without major blade replacements. The method involves evaluating the load margin and local wind resources, determining the length and starting point of the extended section based on chord length and twist angle changes, optimizing the airfoil, chord, and twist angle distribution, calculating 3D coordinates, creating a 3D model, and iteratively calculating aerodynamic performance until meeting design goals.

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Multi-objective optimization method for aerodynamic structural loads of wind turbine blades using genetic algorithms and load simulation to find optimal blade designs with improved performance and stability. The method involves iteratively evolving blade shapes using genetic algorithms to simultaneously optimize aerodynamic power and structural load criteria. Load simulation is used to calculate blade loads and check stability. The genetic algorithm mutates blade designs, evaluates loads, and selects fitter offspring until convergence.

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Reducing loads on wind turbine blades using coordinated pitch and flap control. The method involves using CFD simulation to optimize blade design and operating parameters for load reduction. It involves varying pitch angle, flap length, and flap deflection angle to find the optimal combination that reduces loads. This allows improving blade fatigue life and preventing failures.

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A method to optimize the shape and structure of wind turbine blade trailing edges for improved aerodynamics and manufacturing. The method involves iteratively designing the blade trailing edge shape and structure by feeding back data from one step to the other. This allows optimizing the trailing edge for both aerodynamic performance and structural integrity. It addresses issues like complex transitions, low material utilization, and manufacturing difficulties in conventional blade designs.

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A method to optimize the design of wind turbine blades using parametric modeling. The method involves describing the positioning and thickness distribution of key structural components like the main beam, trailing edge, root reinforcement, and web using mathematical parameters. These parameters are then used as optimization variables in a genetic algorithm to find the best blade design that minimizes weight while meeting stress constraints. This allows rapid iterative optimization of blade structure versus prior methods that independently analyze and optimize each component.

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An optimization method for wind turbine blade design that balances blade load and power generation. The method uses blade element momentum theory to calculate the optimal chord length and twist angle for each blade section. High-order Bezier curves and Newton iteration are used to smoothly fit and optimize the chord length and twist angle distributions. The optimized curves are then imported into a visualization platform to allow interactive adjustment of the blade shape. This enables determination of the optimal blade geometry for load/power balance based on requirements. The method ensures smooth blade curves with reasonable circulation distribution.

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Method and system to improve wind turbine blade efficiency and durability by identifying weak spots and performing non-destructive modifications. The method involves using CAD models of the wind turbine and blades, meshing them, and running two-way fluid-solid simulations to analyze blade pressure distributions. Weak points are identified and modifications like cavity covers are applied to improve wind energy capture and reduce vibrations.

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A blade made of layered composite material is better resistant to delamination and detachment failures when exposed to fluid flows, especially fluctuating loads. The blade has skins with overlapping layers that extend from body portions between the skins towards the trailing edge. The internal layers have body portions and skin portions that form the skin. This integral layer arrangement prevents delamination by providing overlapping connections between the skins. The idea is that adjacent layers of the composite material overlap rather than join at the spar, skins, or leading/trailing edges. This keeps the layers connected along the blade instead of having detached sections.

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Wind turbine blade design method based on viscous shear consumption to optimize blade shape for reduced aerodynamic losses. The method involves simulating blade flow fields, building a viscous shear dissipation model, calculating shear dissipation at different blade positions, identifying high shear areas, and optimizing those shapes to reduce overall shear and blade losses.

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Multi-objective optimization method for blade design that balances blade performance, cost, and lifetime under load limits. The optimization involves optimizing the thickness, material type, and fiber angle of composite layers in the blade airfoil using genetic algorithms. It allows simultaneous optimization of structural properties, cost, and fatigue life to improve blade design. The method uses constraint conditions based on blade limit states like ultimate strength, fatigue, and deformation to guide optimization.

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A method for optimizing turbine blade design to improve durability and reduce failures due to factors like flutter, forced response, and synchronous vibration. The method involves using initial blade geometry and aerodynamics as inputs, then analyzing stress and determining a safety factor. If the safety factor is less than 1.5, modifications are made at the blade root junction to prevent flutter. The blade root area is restricted to be within 15% of the blade length from the junction. This helps prevent flutter instability and high cycle fatigue failure at the critical blade root region.

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Robust optimization design method for thick airfoils inside wind turbine blades that takes into account uncertainty in inflow Reynolds number. The method involves using Monte Carlo simulation with Latin hypercube sampling to accurately represent the stochastic inflow conditions. This allows quantifying the impact of Reynolds number variability on airfoil performance and optimizing for robustness. The optimization goals are to improve lift levels and reduce sensitivity to Reynolds number fluctuations in the large angle of attack range.

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Design method for wind turbine blades to prevent stability issues like vibrations. The method involves calculating blade aeroelastic damping based on initial design. If damping is low, increasing torsional stiffness, flapping stiffness, or reducing sway stiffness. This improves damping and prevents vibrations. The method aims to avoid stability problems when blades grow longer. By adjusting stiffness instead of adding accessories, it reduces weight and cost. The stiffness changes can be localized to minimize weight impact.

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A method for designing wind turbine blades with optimized aerodynamics and structural integrity. The method involves a comprehensive approach that considers the coupling between aerodynamics and structure. It uses a parameterized mathematical model to simultaneously optimize blade shape, aerodynamics, and composite layup. This allows designing blades with light weight and high efficiency by leveraging the aeroelastic interaction. The method involves steps like establishing the design process, clarifying the aerodynamic-structural coupling, analyzing stability, and using approximate models to improve efficiency.

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Method, device, equipment, and storage medium for anti-cracking design of the trailing edge of wind power blades. The method involves quantifying blade breathing effect during fatigue cycles using FEM analysis, extracting stress-strain-displacement relationship, calculating target damage from breathing, and using it for trailing edge anti-cracking design. The device has modules for FEM modeling, fatigue simulation, respiration quantification, damage calculation, and trailing edge design.

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Optimizing wind turbine blade shape and installation angle to balance aerodynamic efficiency and load strength. The method involves using genetic algorithms to find the optimal blade section airfoils and angles. The optimization objectives are minimizing blade root bending moment and maximizing output power. The genetic algorithm perturbates the original airfoils to generate new shapes. This allows simultaneous optimization of blade aerodynamics and loads.

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