OSIsoft > Case Studies > Xcel Energy uses the PI System to improve wind forecasting and save $46 million in operation costs

Xcel Energy uses the PI System to improve wind forecasting and save $46 million in operation costs

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 Xcel Energy uses the PI System to improve wind forecasting and save $46 million in operation costs - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Functional Applications - Enterprise Asset Management Systems (EAM)
  • Sensors - Environmental Sensors
Applicable Industries
  • Renewable Energy
Applicable Functions
  • Business Operation
Use Cases
  • Outdoor Environmental Monitoring
The Customer
About The Customer
The Challenge

Inability to predict wind power supply limited how much power renewable energy sources could provide.

The Solution

Integrated weather forecasting data from NREL with operational data stored in the PI System to forecast wind conditions and optimize wind turbine performance. Resulting savings: $46 million.

Data Collected
Asset Performance, Overall Equipment Effectiveness, Power Consumption, Weather, Wind Speed
Operational Impact
  • [Efficiency Improvement - OEE]
    increased overall equipment effectiveness on wind turbinies
Quantitative Benefit
  • $46 million in savings

  • Reduced Wind Forecasting Error 38%

  • Improved real time situational awareness

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