Thermal management system and method for wind driven generator
By integrating digital twin technology with multi-source data, the system achieves proactive control and fault diagnosis of the wind turbine thermal management system. This solves the problems of slow response, low energy efficiency, and insufficient adaptability in existing technologies, thereby improving the system's reliability and energy efficiency and reducing operating costs.
Patent Information
- Application Number
- CN202610148809.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-03
- Publication Date
- 2026-03-10
- Estimated Expiration
- 2046-02-03
AI Technical Summary
Existing wind turbine thermal management systems suffer from slow response, low energy efficiency, insufficient adaptability, lack of fault diagnosis and fault tolerance mechanisms, inability to recover and utilize waste heat, rigid control strategies, and inability to accurately regulate based on the dynamic changes in the three-dimensional temperature field inside the equipment.
By introducing digital twin technology and integrating future weather forecasts and power load prediction data, combined with temperature sensors and acoustic sensors, a virtual mapping model is constructed to achieve forward-looking simulation of heat generation, transfer and dissipation. A multi-objective optimization algorithm is used to generate the optimal heat dissipation strategy and to perform fault diagnosis and fault-tolerant control.
It enables proactive prediction and optimization of the wind turbine thermal management system, improving the accuracy, timeliness and overall energy efficiency of thermal management, providing the ability to anticipate the future, enhancing the system's reliability and availability, and reducing operation and maintenance costs.