AI Offshore Wind Operations Optimization
Improves offshore wind farm performance by optimizing curtailment, wake steering strategies, and operational setpoints using AI.
The Problem
“Reduce offshore wind downtime and O&M costs”
Organizations face these key challenges:
Unplanned failures and long mean time to repair due to weather-limited access, scarce vessels, and offshore safety constraints
Fragmented data across SCADA, condition monitoring, CMMS, metocean, and OEM systems, limiting timely and consistent decision-making
Inefficient logistics and scheduling (vessel selection, technician routing, parts staging) causing avoidable downtime and high day-rate spend
Impact When Solved
The Shift
Real-World Use Cases
AI Condition Monitoring for Wind Turbines
This AI framework monitors wind turbines to detect any problems early, helping to prevent energy losses.
AI-Driven Predictive Maintenance for Wind Turbines
This AI system monitors wind turbines continuously to predict when they might fail, allowing for repairs before breakdowns happen.
Predictive Maintenance for Offshore Wind Turbines
This AI predicts when parts of wind turbines might fail, allowing for timely maintenance.