Wind Turbine Blade Heating Control for Ice Prevention
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Solution Overview
Problem
Wind turbines experience reduced operational efficiency and safety risks due to ice accumulation on rotor blades at low temperatures, which existing methods fail to prevent effectively.
Innovation Solution
A wind turbine system equipped with a blade heater, temperature sensor, humidity sensor, and control unit that activates the heater proactively when temperature falls below +5°C and humidity exceeds 70%, focusing on aerodynamically relevant areas to prevent ice formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the blade heater is activated only when temperature falls below a threshold (reactive heating), then energy consumption is reduced, but ice formation cannot be prevented effectively
Solution Approach 1:
The patent applies preliminary action by activating the blade heater before ice formation occurs, based on predictive assessment of temperature and humidity conditions. The control unit calculates an ice formation risk index using current environmental parameters and historical data, and activates heating when the risk exceeds a threshold, preventing ice accumulation rather than responding to it after formation.
Solution Approach 2:
The system implements feedback by continuously monitoring temperature and humidity sensors, calculating the ice formation risk index, and adjusting heater activation accordingly. The control unit uses real-time sensor data and historical operational data to dynamically assess risk and modulate heating activation, creating a closed-loop control system that optimizes both prevention effectiveness and energy consumption.
2Reliability
If the blade heater is activated proactively based on temperature and humidity thresholds, then ice formation is prevented effectively, but energy consumption increases
Solution Approach 1:
The patent applies parameter changes by using multiple environmental parameters (temperature, humidity, wind speed, historical data) to dynamically determine heater activation. Instead of relying on a single temperature threshold, the system calculates an integrated ice formation risk index based on combinations of parameters, allowing more precise control that reduces unnecessary heating while maintaining effective ice prevention.
3Measurement precision
If continuous monitoring of temperature and humidity is implemented, then ice formation risk is accurately predicted, but device complexity increases
Solution Approach 1:
The system applies self-service by automatically calculating the ice formation risk index and making heater activation decisions without requiring manual intervention or complex external systems. The control unit autonomously processes sensor data, applies the risk assessment algorithm, and controls the heater based on predetermined criteria, simplifying operation while maintaining high detection accuracy.
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
Preventive blade heating effectively prevents ice accumulation, ensuring optimal wind turbine operation and safety by activating the heater based on temperature and humidity thresholds, even in low-wind conditions.
Implementation Method 1
a blade heater (400) for heating at least a section of the rotor blades (108)
Data Source
Figure 1
Figure 2
AI summary
The invention relates to a wind turbine comprising at least one rotor blade (108), a blade heating system (400) for heating at least one section of the at least one rotor blade (108), at least one temperature sensor (510) for detecting the external temperature in the region of the wind turbine (100) or in the surrounding area, at least one atmospheric humidity sensor (520) for detecting the atmospheric humidity in the region of the wind turbine (100) or in the surrounding area and a control unit (300) for activating the blade heating system (400) if a temperature limit value has not been reached and if an atmospheric humidity limit value has been exceeded, the temperature limit value being +5°C and the atmospheric humidity limit value being 70 %.