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

OSIsoft
Analytics & Modeling - Predictive Analytics
Functional Applications - Enterprise Asset Management Systems (EAM)
Sensors - Environmental Sensors
Renewable Energy
Business Operation
Outdoor Environmental Monitoring

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

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Xcel Energy
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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.

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Asset Performance, Overall Equipment Effectiveness, Power Consumption, Weather, Wind Speed
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[Efficiency Improvement - OEE]
increased overall equipment effectiveness on wind turbinies

$46 million in savings

Reduced Wind Forecasting Error 38%

Improved real time situational awareness

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