WINDcenter: Wind Farm Monitoring & Optimisation
Greater availability, fewer downtimes!
Increase revenue, reduce costs, unlock hidden potential
Would you like to specifically increase the output of your onshore or offshore wind farm, minimise the levelised cost of electricity by sustainably reducing operating and maintenance costs, and thereby unlock hidden profit potential? The Iqony WINDcenter offers you a powerful solution for this that is completely independent of the plant technology. Through the intelligent analysis of operational management and condition monitoring data (SCADA and CMS), the WINDcenter’s early warning system detects faults long before costly damage and/or downtime occurs. You won’t have to wait long for positive results. As no sensors need to be installed, the WINDcenter is ready for use in no time.
Avoidable faults regularly result in production losses, as the graph based on various wind farms shows. However, if faults or errors are detected in good time, annual energy production can be increased by more than 0.5 per cent.
Our services are…
- flexible and therefore independent of the size of your wind farm
- modular, meaning solutions are tailored to your individual needs
- precise, as we use our tried-and-tested IT expert systems (SI/PAM operational management system, SR::SPC condition monitoring IT solution) to analyse SCADA and CMS data, ensuring that only genuinely relevant alarm messages are generated
- targeted, as our early warning system detects even gradual process changes and spontaneous deviations from the desired operating state in good time (SR::SPC conditionmonitoring IT solution)
- forward-looking, ensuring that ‘Big Data’ and ‘Machine Learning’ are no longer just buzzwords, but give you a genuine competitive edge
- transparent, as detailed, regular and event-driven reports on the performance of your wind farms are now available
Independent services, regardless of the plant technology you use
Sustainable prevention of unnecessary damage and costly plant downtime
Better planning of maintenance activities, e.g., during periods of low wind
More efficient maintenance strategies, such as “smart maintenance” based on predictive maintenance
Accurate identification of performance issues in wind turbines
Targeted recommendations for corrective actions
A future-proof investment in a solution from experts who have been active in the energy sector for decades
