Optimizing electricity output from wind turbines requires constant adaptation to environmental conditions, while staying within the legislative boundaries. Specifically, wind turbine operators such as VLEEMO have to respect shadow flicker and ice formation limitations but still keep their turbines running as much as possible within these boundaries.
In the past, turbines were primarily monitored using remote-controlled SCADA systems. Now, all sensor information from the VLEEMO turbines is gathered in InfluxDB using multiple Factry OPC-UA collectors. Factry then augments this information with external data such as weather forecasts.
The turbine statuses are interpreted on the fly, based on the raw data in InfluxDB. Relevant information is subsequently displayed centrally in Grafana, so VLEEMO can take immediate action when necessary. In the end, this allows them to become more productive and save time in their day-to-day operations.
Using OPA-UA collectors
Collecting IoT sensor data from wind turbines
Reducing carbon footprint
Providing clean energy via 33 wind turbines in Antwerp
Improved operations
Enabling data-driven analysis and decision making
“By gathering all this data centrally and in InfluxDB from all of these different sources and adding custom interpretation on that, Vleemo is able to perform operational improvements.”
Bevi
Bevi uses InfluxDB to remotely gather metrics from smart water coolers in order to improve performance.
EnerKey
EnerKey uses InfluxDB to store IoT data which is utilized for ML models and anomaly detection.
Siemens
Siemens uses InfluxDB to store wind energy IoT sensor data for its renewable power platform.
