Xcel Energy uses the PI System to improve wind forecasting and save $46 million in operation costs
Inability to predict wind power supply limited how much power renewable energy sources could provide.
OSIsoftOSIsoft delivers the PI System, the industry standard in enterprise infrastructure, for management of real-time data and events. The PI System enables businesses to capture and leverage sensor-based data across the enterprise to improve efficiency, asset health, productivity, sustainability, quality, safety and security. Beyond being just a data historian, the open infrastructure connects data, operations and people to enable real-time operational intelligence and transform operations.
- CONNECTIVITY PROTOCOLS
- USE CASES
Factory Operations Visibility & IntelligenceVisualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle. Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.
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
- SOLUTION TYPE
- SOLUTION MATURITY
Mature (technology has been on the market for > 5 years)
- OPERATIONAL IMPACT
Impact #1 [Efficiency Improvement - OEE]
increased overall equipment effectiveness on wind turbinies
Impact #2 Impact #3
- QUANTITATIVE BENEFIT
$46 million in savings
Reduced Wind Forecasting Error 38%
Improved real time situational awareness