Currently, wind farm maintenance relies on a technical shutdown model. This means that, in order to ensure the structural integrity of turbine blades, operations are completely halted to perform visual inspections for cracks, impacts, paint peeling, or minor damages that could impair normal operation. This process causes a direct interruption in power generation, resulting in financial losses.
The objective is to validate a solution capable of diagnosing the condition of the blades without interrupting operations, meaning while the turbine is running and the blades are rotating.
The technology must be adaptable to the varying conditions of existing wind farms, such as: different turbine models, blade lengths (between 44 and 78 meters), rotational speeds (between 2.8 and 17 rpm), wind speed between 3 and 14 m/s and diverse weather conditions (Northern Chile, desert, and coastal environments).
How will we evaluate your solution?
Success will be evaluated based on:
- Reliability: Detection accuracy of in-motion faults must achieve a 100% match with parallel static inspections conducted for validation.
- Operational independence to conduct inspections without the need for third-party support.
- Efficiency: Total cost savings compared to current inspection methods and increased revenue by avoiding turbine downtime during maintenance periods. Less inspection time compared with traditional inspection.
We are expecting to find
Examples of potential solutions include:
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