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