Real-time Digital Twin for Wind Edge + Cloud Architecture AI anomaly & fault detection

Increase wind farm uptime with a living Digital Twin.

WindTwin connects turbine SCADA, condition monitoring, weather, and grid data into a single real-time model of your wind farm. Detect performance losses early, predict component failures, and optimize energy production.

Built for onshore & offshore fleets. Vendor-agnostic. Secure-by-design.

What WindTwin helps you do

Capabilities built to reduce downtime, improve energy yield, and streamline operations.

SCADA

Unified turbine monitoring

Centralize turbine SCADA, alarms, and KPIs across models and vendorsโ€”one operational view for the farm.

Health

Condition & health analytics

Track temperatures, vibrations (if available), oil metrics, power curves, and operating regimes.

Faults

Anomaly & fault detection

Detect abnormal behavior early: overheating, excessive yaw/pitch activity, converter issues, and sensor drift.

Optimization

Performance optimization

Compare actual vs expected output and identify loss drivers like curtailment, wake effects, and icing events.

Maintenance

Predictive maintenance planning

Prioritize maintenance using impact, risk, and lead timesโ€”reduce unplanned stops and optimize spare parts.

Portfolio

Fleet & portfolio insights

Benchmark turbines and farms, standardize reporting, and improve performance across your entire fleet.

Use cases

How owners, operators, and O&M teams apply WindTwin across onshore and offshore wind farms.

Wind Farm Operators

Reduce downtime and improve response

  • Prioritize alarms and identify likely root causes
  • Reduce MTTR with contextual diagnostics
  • Track availability and operational KPIs
Asset Owners & Investors

Increase transparency and performance control

  • Independent performance verification vs expected curves
  • Portfolio benchmarking and standardized reporting
  • Early warnings for revenue-impacting issues
O&M Service Providers

Plan maintenance efficiently

  • Predict high-risk components and schedule outages
  • Optimize spare parts planning and logistics
  • Generate data-backed customer reports
Offshore Wind

Minimize costly interventions

  • Remote diagnostics to reduce site visits
  • Better planning around weather windows
  • Risk-based maintenance prioritization

How it works

Deploy quickly, integrate your existing data sources, and scale from one farm to a fleet.

1

Connect turbine & site data

Ingest SCADA, alarms, CMS data (if available), met mast / LiDAR, weather forecasts, and grid measurements.

2

Build the Wind Digital Twin

Model turbines, components, farm layout, substations, and relationships to create a living asset view.

3

Monitor, predict, optimize

Dashboards, anomaly detection, performance insights, and recommended actions to improve availability.

Request a demo

Tell us about your wind farm or fleet. Weโ€™ll propose a pilot scope focused on uptime, performance, and maintenance efficiency.

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๐ŸŒ EU-based operations ๐Ÿ” Secure & vendor-agnostic ๐Ÿš€ Pilot-ready: start in weeks