Irish asset manager EnergyPro has unveiled a new machine learning platform aimed at detecting and addressing underperformance in wind turbines, in a move it says could boost energy output and reduce downtime across utility-scale wind assets.
The platform, named WindWise, was launched at the Scottish Onshore Wind Conference in Edinburgh. It uses predictive algorithms to analyse operational data, flag performance issues, and recommend corrective actions.
In initial trials involving 66 turbines, the system identified energy losses valued at €206,000 annually across 11 machines, equivalent to a 0.5% uplift in revenue. It also detected 42 temperature-related anomalies before original equipment manufacturer (OEM) alarms were triggered, allowing earlier intervention.
“This technology can significantly improve renewable energy production from turbines that are not performing at an optimal level,” said Ronan O’Meara, managing director of EnergyPro. “It’s the result of three years of development and collaboration, underpinned by €300,000 of funding from the Sustainable Energy Authority of Ireland (SEAI).”
Developed in partnership with researchers at the LERO software research centre at the University of Limerick, WindWise aims to enhance turbine reliability and extend component life through early fault detection and performance diagnostics.
SEAI’s head of research, innovation and electricity, Kerrie Sheehan, said the project “represents a step forward in wind turbine performance optimisation,” adding that predictive technologies like WindWise “will be key to improving the efficiency and lifespan of renewable energy assets.”
EnergyPro, a subsidiary of Galetech Group, operates a dedicated diagnostics team for wind assets and is expanding its portfolio of digital tools to support the wind energy sector.
