Overview

Werover develops advanced monitoring systems for offshore and onshore wind turbines, with a special focus on blade health diagnostics. As wind energy scales rapidly across Europe and MENA, turbine components face growing exposure to extreme weather—particularly lightning strikes that can damage blades, disrupt power generation, and require expensive interventions.

Challenge

Despite continuous sensor data and SCADA-based health tracking, lightning-related damage remained a persistent challenge—especially in high-risk regions such as the Mediterranean and Black Sea coasts. Werover needed earlier warning signals to prevent blade damage and reduce unplanned maintenance.

Key limitations included:

• No forecast-integrated view of lightning probability

• Sensor data only detected post-impact anomalies

• Lightning alerts lacked spatial precision and forecast range

• High blade replacement costs and insurance claims

Existing systems were reactive. Werover sought a more predictive solution that could integrate seamlessly with their turbine analytics.

How AI Powers Lightning-Aware Maintenance

1. Lightning Probability Forecasts with Hourly Resolution
WeatherX delivers short-term probabilistic lightning forecasts, allowing Werover to flag risk zones up to 24–48 hours in advance—ideal for adjusting rotation strategy or pausing sensitive operations.

2. Spatially Precise Strike Risk Maps
Customized gridded risk layers help localize strike probability per turbine cluster, factoring in topography, altitude, and storm system velocity. This enables proactive inspection prioritization.

3. Sensor-Integrated Alert Calibration
Werover’s existing blade vibration and current sensors are now connected to WeatherX’s forecast thresholds, enabling a smarter alert system that combines environmental prediction with on-site diagnostics.

4. Historical Strike Pattern Analysis
Using multi-year lightning databases, WeatherX identifies hotspots and storm system behaviors that historically correlate with high strike frequency—improving long-term siting and design.

Operational Impact

Following integration with WeatherX:

• Blade-related lightning incidents dropped by 35% over 6 months

• Predictive maintenance planning improved by +50% in accuracy

• Engineers received automated risk tiering per turbine, reducing manual triage

• Insurance claims related to storm damage saw better justification and traceability

Looking Ahead

Werover now plans to embed WeatherX alerts deeper into its OEM dashboards and expand to cover ice accumulation and high-shear wind risks. The goal is full-spectrum weather intelligence, embedded directly into turbine health analytics—for next-gen turbine resilience.