87% Loss Reduction: Maintenance Fault Detection and Recovery of 500 MWh/mo.
March 25, 2025
2 min

87% Loss Reduction: Maintenance Fault Detection and Recovery of 500 MWh/mo.

The Delfos platform identified a fault in the pitch system of a GE wind turbine shortly after scheduled maintenance, preventing significant energy losses and ensuring the effectiveness of the maintenance process.

Context

During a post-maintenance inspection, it was identified that the wind turbine's pitch system was not operating at full stroke due to a previous maintenance error. This problem caused an 87% reduction in the turbine's performance, resulting in a loss of up to 500 MWh per month.

Figure 1 - Pitch system with anomaly with points outside operational limits in red

Figure 2 - 80 percentage point reduction in the performance indicator

Implemented Solution

The day after the maintenance, Delfos' monitoring platform detected anomalous behavior in the wind turbine's pitch system. Using predictive analysis and real-time monitoring, the software was able to identify the drastic reduction in performance, pinpoint the system related to the problem detected and inform the client about what had happened. This agility and assertiveness were crucial to the quick resolution of the problem, which involved maintenance on the installation of the actuators and pitch movement limiters.

Impact


- 87% reduction in performance losses
- 500 MWh/month of energy recovered
- Fault detection the day after maintenance
- Greater reliability and structural integrity of the asset

Conclusion

The rapid detection of the fault by the Delfos system ensured an agile and effective response, avoiding energy losses and structural impacts on the wind turbine. The solution reinforces the importance of continuous monitoring and intelligent analysis for asset optimization in the renewable energy sector.

- 87% reduction in losses
- 500 MWh/month of energy recovered
- Fault detection in 1 day

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