Project overview: 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 was the first of its kind to involve numerous turbines in a realistic setting.

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

This project is 1 of 4 projects supported by IonE’s Renewable Electricity for Minnesota’s Future grant program from August, 2015 to February, 2020.

To view the Final Program Presentation, click here.

To view the Final Program Report, click here.