Increased energy output, longer asset lifespan and reduced maintenance costs
TURBINE OPTIMISATION SHAPED BY REAL WORLD DATA
We know wind power, and we know the huge potential it holds.
REOptimize Systems’ game-changing algorithm unlocks optimised performance and significant gains for your wind system — finding efficiencies through machine-learning technology and identifying precise new control parameters to calibrate your asset for its exact environmental conditions.
Working with customers on an individual basis, we optimise the turbine system as a whole — resulting in increased energy output, greater asset lifespan and lower maintenance costs — a significant boost to net profit.
GLOBAL LOSS MINIMISATION ALGORITHM
Utilising machine learning and analysis of high resolution data, REOptimize Systems’ patented Global Loss Minimisation algorithm represents a paradigm shift in the wind energy sector — a light touch with a big impact.
Our approach utilises this high resolution operating data and combines it with full-system ‘digital twin’ modelling to identify efficiencies and make precise adjustments.
Our most recent application on a commercially operating Siemens 2.3MW wind turbine is already seeing successful results.
BUILT IN ACADEMIA BACKED BY INDUSTRY
Founded in 2017, REOptimize Systems’ core technology was developed by Co-Founder & Technical Director Juan Pablo Echenique during seven years of wind and tidal energy systems R&D at the University of Edinburgh, Scotland.
The team is bolstered by specialists in electrical and mechanical engineering, physics, computer science and asset optimisation — a core technical team supported by industry-leading advisors and a dedicated support staff.