The American WAKE experimeNt (AWAKEN) is compiling the world’s largest and most comprehensive dataset on wind energy atmospheric phenomena, detailing how wind and surrounding air particles interact with wind turbines and wind farms.
With three recently installed small wind turbines at the Flatirons Campus in Colorado, WETO is poised to take the next step in proving and improving the next generation of distributed wind technologies.
Thanks to funding from the Wind Energy Technologies Office, the Massachusetts Renewable Energy Center’s Wind Technology Testing Center (WTTC) is testing next-generation wind turbine blades.
With support from the U.S. Department of Energy’s Wind Energy Technologies Office, the National Renewable Energy Laboratory is helping grid operators and equipment manufacturers successfully adapt to the energy transition using the Grid Impedance Scan Tool.
While studying mechanical engineering at the University of Texas in Austin, Paquette became interested in structural components and composite materials. Although he originally planned to pursue work in the aerospace industry, he jumped at the opportunity to work at Sandia on wind turbine blades—the largest composite structures in the world.
The Wind Energy Technologies Office (WETO) has funded the blade and drivetrain testing facilities since the 1990s, providing crucial knowledge and expertise to the ongoing expansion of commercial wind power—both domestically and globally.
The DOE-NASA Mod-Series Wind Turbine Program precedes the modern wind energy industry in the United States. For over two decades, with five distinct models built, the program helped shape a cost-competitive wind energy industry through funding and R&D.
A new report for the International Energy Agency Wind Technology Collaboration Programme summarizes the findings of a meeting of global wind energy experts who identify the five Grand Challenges
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.