Irish asset manager EnergyPro has launched a new machine learning tool designed to identify and address underperformance in wind turbines.
The WindWise platform was unveiled at the Scottish Onshore Wind conference in Edinburgh.
It uses algorithms to detect when a turbine is underperforming, assess the impact on production, and recommend corrective actions.
Initial trials on 66 turbines flagged potential annual energy losses worth €206,000 across 11 machines, representing a 0.5% revenue uplift.
The system also detected 42 temperature issues before OEM alarms were triggered.
Ronan O’Meara, managing director of EnergyPro, said the launch was the result of three years of development backed by €300,000 of funding from Ireland’s Sustainable Energy Authority.
He said the technology “can significantly improve renewable energy production from turbines that are not performing at an optimal level” and could boost output across utility-scale projects.
The platform was developed with researchers at the University of Limerick’s LERO research centre.
SEAI head of research, innovation and electricity Kerrie Sheehan said the project “represents a step forward in wind turbine performance optimisation” by using predictive technologies to extend component lifespans and improve reliability.
EnergyPro is a subsidiary of Galetech Group and operates a dedicated diagnostics team for wind assets.
Picture: (L-R) Dr. Juan Albarracin, Computer Scientist, EnergyPro and LERO, WindWise ML Expert, Kyro Keown, Renewable Energy Engineer, WindWise Technical Lead, Jason Simeon, Asset Manager