Wind Turbine Blade De-Icing Control for Balanced Heating
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Solution Overview
Problem
Icing on wind power generator blades leads to aerodynamic damage, increased structural load, reduced power generation efficiency, shortened service life, and safety hazards due to ice shedding, necessitating effective de-icing solutions.
Innovation Solution
A control method involving real-time temperature monitoring, ice layer thickness calculation, and customized de-icing schemes based on positional temperature and ice layer data, using a heating prediction model to ensure balanced de-icing without shutdown.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If heating de-icing is performed on the blade surface, then the ice layer is removed and aerodynamic performance is restored, but energy consumption increases and thermal stress may damage the blade structure
Solution Approach 1:
The patent applies local quality by dividing the blade surface into multiple monitoring regions with independent temperature sensors and heating elements. Each region is heated independently based on its own ice detection status, rather than heating the entire blade surface uniformly. This localized approach reduces overall energy consumption while effectively removing ice where it actually forms.
Solution Approach 2:
The system performs preliminary action by continuously monitoring blade surface temperature and detecting ice formation in real-time before the ice layer becomes thick enough to significantly impact aerodynamic performance. Early detection allows for timely, minimal heating interventions rather than waiting for severe icing conditions.
2Measurement precision
If comprehensive temperature monitoring and calculation methods are implemented, then de-icing precision is improved, but system complexity increases
Solution Approach 1:
The patent replaces complex mechanical temperature sensing systems with a simplified electrical sensing and calculation approach. Instead of using multiple sophisticated thermal sensors throughout the blade, the system uses a few temperature sensors combined with mathematical models (heat conduction equations) to calculate and infer the temperature distribution across the entire blade surface, significantly reducing system complexity.
Solution Approach 2:
The patent introduces an intermediary computational layer that bridges the gap between simple temperature sensor readings and the complex thermal state of the blade. The calculation unit uses heat conduction models to translate discrete sensor measurements into comprehensive temperature and ice thickness information, acting as an intermediary that simplifies the overall measurement system while maintaining high precision.
3Productivity
If real-time monitoring and continuous de-icing operations are performed, then power generation efficiency is maintained, but operational complexity and cost increase
Solution Approach 1:
The system implements self-service by automatically detecting ice formation through temperature monitoring and autonomously activating heating elements without requiring manual intervention. The control unit processes sensor data, determines ice conditions, and adjusts heating operations independently, maintaining power generation efficiency while simplifying operational complexity compared to manual de-icing methods.
Solution Approach 2:
The patent employs periodic action by implementing continuous cyclic monitoring of blade temperature and periodic activation of heating elements based on detected ice conditions. Rather than continuous operation, the system periodically checks temperature sensors and activates heating only when and where needed, maintaining efficiency while reducing operational complexity and energy consumption compared to constant full-power heating.
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
Ensures stable wind power generation by accurately de-icing blades while maintaining balance and reducing energy waste, addressing efficiency and safety concerns.
Implementation Method 1
a heat conduction model prediction unit to calculate a prediction heating temperature of each position of the blade according to the actual temperature of each position of the blade
Data Source
AI summary
Provided is a control method for de-icing blades of a wind power generator, including: Step S101: performing real-time monitoring of temperature of a surface of a blade of the wind power generator, and constructing a first positional temperature sequence at a time interval of v; and Step S102: calculating actual temperature at each position on the surface of the blade of the wind power generator according to the positional temperature sequence, and generating a second positional temperature sequence. In the present disclosure, it can be avoided that a discrepancy between the temperature acquired and the actual temperature of the surface of the wind power generator; and weight differences that may exist among three blades are taken into account, and synchronous de-icing operations are performed after eliminating the weight differences, so that ice treatment can be achieved without shutdown, and the stable operation of the wind power generator can be ensured.