Developed specifically for the wind-turbine industry, the new WindTwin digital software platform uses digital twin technology -- providing a solution for rapidly growing maintenance needs associated with running wind turbines, supporting the optimization of wind energy with more reliable and in-service wind turbines.
The project harnesses the new technology to combine a virtual system model with operational sensor data to create predictive maintenance of all wind turbines. By using digital twin models, all turbine operators will have access to up-to-date data on each asset performance, rather than regular schedule shutdowns for inspection. Reducing upkeep and maintenance costs, the virtual testing will allow for optimized performance and energy output.
The new WindTwin digital software platform has started a 30 month testing period, developing a plan to expand into adjacent applications and industries.
Key Themes Behind This Trend
- Digital Twin Technology
- Using digital twin technology in the wind-turbine industry allows for predictive maintenance and optimized performance.
- Predictive Maintenance
- Implementing predictive maintenance for wind turbines reduces maintenance costs and enables more reliable operation.
- Virtual Testing
- Virtual testing of wind turbines through digital twin models optimizes performance and energy output.
Where This Applies
- Renewable Energy
- The WindTwin digital software platform offers disruptive innovation opportunities in the renewable energy industry.
- Maintenance and Repairs
- The use of digital twin technology for wind turbines presents disruptive innovation opportunities for the maintenance and repairs industry.
- Software Development
- Developing digital software platforms like WindTwin offers disruptive innovation opportunities in the software development industry.
