Wind Turbine Component Life Prediction via Site-Specific Aeroelastic Modeling
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Solution Overview
Problem
Current methods for determining the life of wind turbine components do not accurately account for specific wind and operating conditions at each location, leading to unreliable estimates of remaining life and potential for premature malfunction.
Innovation Solution
A method involving the creation of aeroelastic models, determination of specific wind and operating conditions, and calculation of actual fatigue loads compared to design loads to estimate the extended life of wind turbine components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regulatory standard wind classes are used for designing wind turbines, then the wind turbine can be designed to last 20 years with guaranteed performance, but the actual life of the wind turbine can be extended beyond 20 years because actual wind conditions are milder than the conservative design assumptions
Solution Approach 1:
The patent changes the parameters used for life assessment from generic regulatory wind classes to site-specific actual wind conditions. By collecting and analyzing real meteorological data from the wind turbine's location, the method adjusts the load parameters to reflect actual operating conditions, which are typically milder than conservative design assumptions, thereby enabling accurate prediction of extended service life beyond the standard 20-year design life
Solution Approach 2:
The patent implements a feedback mechanism by continuously monitoring and analyzing actual wind conditions and operating data from the wind turbine. This feedback loop allows the life assessment method to update and refine its predictions based on real-world performance and environmental conditions, improving the accuracy of remaining life estimates and enabling data-driven maintenance decisions
2Ease of manufacture
If generic wind class conditions are used for design, then the design process is simplified and standardized, but the life prediction becomes unreliable because it does not account for specific wind and operating conditions at each location
Solution Approach 1:
The patent applies local quality by transitioning from uniform generic wind class conditions to location-specific actual wind conditions. The method collects meteorological data specific to each wind turbine's location and uses this localized information to assess the actual loads and predict the remaining life of components, thereby improving prediction accuracy while maintaining the standardized 20-year design baseline for comparison
Solution Approach 2:
The patent performs preliminary action by collecting and analyzing actual wind condition data and operating parameters before conducting the life assessment. By gathering meteorological data, operational data, and maintenance records in advance, the method prepares a comprehensive dataset that enables accurate prediction of remaining component life, avoiding the need for reactive assessments after failures occur
Data Source
Figure 1
AI summary
The invention relates to a method for determining the life of components of a wind turbine or similar according to its location, said method comprising the phases of: - obtaining an aeroelastic model of the wind turbine according to its design conditions; - obtaining an aeroelastic model of the actual wind turbine arranged at its site; - determining the specific wind conditions at the site of the wind turbine; - determining the specific operating conditions of the wind turbine at its site; - determining the design fatigue loads on the components of the wind turbine according to regulatory wind and operating conditions; - determining the actual fatigue loads on the components of the wind turbine according to the specific wind and operating conditions; and - determining the life of each component of the wind turbine at its site, reintegrating the actual fatigue loads until the design fatigue loads are reached.