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.
The Wind Resource Database is an online tool that captures information about atmospheric forces that affect how wind turbines perform and how much energy they capture.
DOE is taking applications for the Fiscal Year 2024 Core Laboratory Infrastructure for Market Readiness Lab Call.
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.
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.
In this new article, learn about the types of zoning ordinances in effect and how they could change the amount of available land over time.
WETO and the Bureau of Ocean Energy Management’s floating scientific research buoy is stationed in Hawai'i to collect offshore wind resource, meteorological, and oceanographic data that can be used to compare wind model predictions with actual data.
In a collaborative study published in Wind Energy Science, a team led by Pacific Northwest National Laboratory examined offshore wind energy challenges and laid out future approaches to meet them.