Learn more about Wind

The Renewable Energy Potential model can help identify optimal regions for wind plants based on factors like wind resources, land use, topography, and community preferences. It has revealed pathways to Puerto Rico’s renewable energy goals.

Meet Collegiate Wind Competition alum Annika Torp, whose team won second place in 2021 and now works as a wind turbine blade aerodynamics engineer at Siemens Gamesa.

In 2023, the Wind Turbine Radar Interference Mitigation Working Group released an updated strategy to address wind turbines’ interference with critical radar missions, ensuring the long-term resilience of radar operations in the presence of wind turbines.

WETO is funding 18 projects at between $75,000 and 150,000 each in the topic areas of Data Synthesis/Artificial Intelligence; Novel Wind Energy Architectures, Approaches, and Components R&D, Systems Integration, and an open topic area.

A WETO-funded partnership between General Electric, Sandia National Laboratories, and the National Renewable Energy Laboratory is enhancing data collection efforts to improve the accuracy of wind industry simulation tools.

Regional wind data from around the U.S. helps improve a national weather forecasting model, which allows utility companies to better plan for windy days.

A multiyear project advanced understanding of environmental effects, identified existing information gaps, and described future environmental research efforts needed to responsibly develop offshore wind energy projects in U.S. waters.

DOE announced $264 million in funding for 29 projects to develop solutions for the scientific challenges underlying DOE’s Energy Earthshot goals.