Performance Monitoring for Wind Farms.
Ausfälle und Minderleistungen mit Machine Learning in Echtzeit erkennen.
Turbit Performance Monitoring
Turbit's algorithms learn the performance behavior for each turbine. Reduced performance is recognized independently of the manufacturer and per site.
Detected underperformance is compared with our database of over 3000 turbine years and classified in availability categories.
Relevant yield potentials are prepared for you in a real time data analysis.
How it works:
Often throttling remains undetected. By learning the normal behavior of the turbines, our algorithms can detect unusual changes immediately and report the changes to you within 60 minutes.
Monitor power curves
Even long-term changes are detected. For example, a change in the manufacturer's software parameters or nacelle and pitch malpositions can lead to performance losses. Long-term changes in performance are detected and reported.
Improve your operations management.
All events are merged centrally and linked to the status messages of the turbine. Your operations team can thus take targeted action to increase output. Turbit Systems makes scalable performance monitoring for wind farms possible.