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OSIsoft > Case Studies > 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

 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 Challenge

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

The Customer
Xcel Energy
About The Customer
-
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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