Wind Turbine Rotor Blade Deformation Margin Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wind turbines face challenges in accurately estimating loads on rotor blades, leading to potential deformation and buckling due to fluctuating environmental conditions, and existing sensor systems can be complex and prone to inaccuracies.
Innovation Solution
A method and system for calculating blade root loads, estimating span-wise loading, and determining deformation margins using existing hardware and software, which includes measuring operating parameters, estimating forces, determining application points, and controlling the turbine based on deformation margins to prevent excessive loading.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If new sensor systems are installed to measure loads on wind turbine components, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a virtual model (copy) of the rotor blade that replicates its structural characteristics and response to loads. This digital twin is updated in real-time using data from existing sensors and aerodynamic models, allowing accurate load estimation without installing additional physical sensors on the blade itself. The virtual model serves as a surrogate for direct measurement, achieving high measurement precision while avoiding the complexity of new sensor systems.
Solution Approach 2:
The patent replaces the mechanical sensor system with a computational approach combining aerodynamic models, structural models, and data processing algorithms. Instead of using physical sensors to directly measure blade loads, the system uses mathematical models to calculate loads from aerodynamic forces and structural responses, substituting a mechanical measurement system with an information-processing system.
2Reliability
If sensors are installed to monitor blade loads, then reliability is improved, but sensors are prone to failure and require maintenance
Solution Approach 1:
By creating and maintaining a virtual model of the rotor blade, the system eliminates the need for physical sensors on the blade that could fail or require maintenance. The virtual model is updated through computational methods using data from existing, more reliable sensors located on the turbine structure, thereby achieving high reliability without the vulnerabilities of installed blade sensors.
Solution Approach 2:
The system uses existing turbine operational data and embedded computational models to self-determine blade loads without requiring external sensor installations or maintenance. The virtual model continuously self-updates using available information from the turbine's control system, making the monitoring system autonomous and maintenance-free.
3Device complexity
If thrust-based control strategies are used to estimate loads, then device complexity is reduced, but measurement precision deteriorates due to indirect estimation
Solution Approach 1:
The patent segments the load estimation process into distinct computational components: aerodynamic force calculation, structural response modeling, and virtual model updating. This segmentation allows each component to be optimized independently while maintaining overall system simplicity. The aerodynamic model calculates forces from wind conditions, the structural model computes blade responses, and these are integrated to update the virtual model, achieving precision through modular computation without complex hardware.
Solution Approach 2:
The system maintains a virtual copy of the rotor blade that is continuously updated with accurate load information derived from combining aerodynamic models with structural models. This virtual model provides direct and accurate load estimates at any location on the blade, improving precision over thrust-based methods while keeping the physical system simple by using existing computational infrastructure.
4Device complexity
If existing hardware and software are used for load estimation, then device complexity is reduced, but the ability to provide accurate span-wise loading information is limited
Solution Approach 1:
The patent transitions from point-based or integrated load measurements to distributed span-wise load information by creating a virtual model that provides load data at multiple locations along the blade span. This dimensional expansion transforms limited measurement data into comprehensive spatial distribution of loads, enabling detailed analysis of loading patterns without adding physical measurement points or complexity.
Solution Approach 2:
The virtual model of the rotor blade acts as an information-rich copy that contains detailed span-wise loading characteristics. By updating this virtual representation with computational estimates at multiple locations, the system recovers and provides complete spatial load distribution information that would otherwise be lost, all while using only existing hardware and software resources.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables improved turbine control, ensuring adherence to component capabilities, increasing annual energy production, reducing the risk of premature failure, and allowing for real-time tracking of loading conditions without the need for additional sensors.
Implementation Method 1
The rotor blades are the primary elements for converting wind energy into electrical energy. The blades typically have the cross-sectional profile of an airfoil such that, during operation, air flows over the blade producing a pressure difference between its sides. Consequently, a lift force, which is directed from the pressure side towards the suction side, acts on the blade.
Implementation Method 2
The thrust force comes from a change in pressure as the wind passes the wind turbine and slows down.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The present subject matter is directed to a method 100 for operating a wind turbine 10. The method includes calculating one or more blade root loads, e.g. a blade root resultant moment, of at least one rotor blade 22 of the wind turbine 10. Another step includes estimating a span-wise loading of the rotor blade 22 based at least partially on the one or more blade root loads. The method also includes determining a deformation margin of the rotor blade 22 based at least partially on the span-wise loading and one or more estimated deformations occurring on the rotor blade 22. Another step includes controlling the wind turbine 10 based on the deformation margin.