This project team aims to lower the variability in wind energy output and so improve the efficiency and reliability of wind plants using supercomputer-based simulations, laboratory and field measurements, and modeling. The project is the first of its kind to involve numerous turbines in a realistic setting. This project is supported by IonE’s Renewable Electricity for Minnesota’s Future grant program.

Read the grant proposal.

Project Leads

• Lian Shen, associate professor, College of Science & Engineering and St. Anthony Falls Laboratory
• Michele Guala, assistant professor, College of Science & Engineering and SAFL
• Jiarong Hong, assistant professor, College of Science & Engineering and SAFL
• Jeffery Marr, associate director of engineering and facilities, SAFL
• Joseph Nichols, assistant professor, College of Science & Engineering
• Peter Seiler, assistant professor, College of Science & Engineering and IonE fellow 

Project Partners

• Sandia National Laboratories
• University of Illinois at Urbana-Champaign
• WindLogics