Controlling Wind Plant Power

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Controlling wind plant power

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