Operating 3000 wind turbines across North America, EDF Renewables faces the constant challenge of keeping their assets running. While site maintenance crew prefer to repair during daytime, turbines fail at any hour. If they fail overnight, and crew isn’t called in, turbines don't produce revenue until crew return. Crew callouts were decided using current wind conditions, not knowing the future revenue at stake.
The PI System provided a better way. EDF created a solution that provides automated, real-time estimates of future revenue loss of offline turbines. Once this solution was switched on, there were several interesting developments:
- Revealed $4 million/year of lost revenue
- Incorporated measures for crew safety
- Empowered decision makers to edit estimates based off their knowledge
The revealing of such potential value, combined with the challenge of integrating the human element into an enterprise data solution, makes a compelling story of operational intelligence in action.
David works for EDF Renewables as a Sr. Analytics and Intelligence Engineer. He loves the challenge of building systems that turn raw data into actionable information, and figuring out ways to improve Operational Intelligence. As a remote worker, David enjoys traveling and working from many locations around the world.
Lonnie helps companies take full advantage of real-time data generated from industrial IOT systems including data generated in a process or monitoring system and stored in a PI System. He is focuses on finding and understanding key business outcomes that can be achieved by improving data access, visualization, and interaction.