EnOS™ Monitoring for Wind enable fleet monitoring for any kind of turbines, by normalizing data tags and turbine status to the standard defined by customer. It calculates all KPI’s and make your production loss transparent.
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Realtime normalization and track all the turbine and BoP tags
Instant Alarm to inform turbine issues and trigger process
Industry KPI’s are embed and support customized report
Historical data tags online exploration and download
EnOS Advanced Analytics for Wind can detect the subhealth of turbine control and major components based the SCADA data, vibration CMS data, add-on sensor data.
Explore EnOS™ Advanced Analytics for Wind Capabilities
Detect control system issues to identify power curve underperformance reasons
Detect major components subhealth to reduce the loss caused by deteriorating and unplanned failure
Detect sensor problems as the support for subhealth alarm accuracy and data quality
Service Request management for handling the issues
Based on HPC, Forecaster integrates massive meteorological data globally to provide 4h-168h ahead, 1x1km, 15min resolution renewable power forecast with higher precision.
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Highly accurate weather forecast by integrating the most accurate NWP globally
More reliable power forecast with 1 x 1 km NWP dedicated to every wind farm on HPC
Improve efficiency of wind turbines with weather forecast and algorithm based on latest AIoT technology
Provide long term prediction, regional prediction, probability forecast for electricity spot market
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