The Center for Wind Energy Science, Technology and Research (WindSTAR) conducts wind energy research, establishes long-term partnerships within the wind industry, trains undergraduate and graduate students to perform state-of-the-art, industry-relevant research, and engages in outreach to educate K-12 students, who represent the next generation of wind industry leaders, scientists, and engineers. Its research aims to increase the production of this vital low-carbon energy source to power the energy needs in the United States and worldwide.
WindSTAR's diverse group of scientists, engineers, and practitioners plan and execute a program of research and education focused on the design, operation, and maintenance of land-based and offshore wind energy systems for electricity production. WindSTAR aims to enhance national excellence in wind energy research and development that has direct relevance to industry, and develop a cadre of diverse undergraduate and graduate students with world-class training who will support and eventually lead in the analysis, design, manufacture, and successful operation of wind energy systems.
WindSTAR supports industrial members from a variety of sectors of the wind energy industry, including:
WindSTAR's cooperative program of research and education focuses on the following areas in wind energy:
Composites and blade manufacturing
Next-generation materials, designs, and methods for turbine systems.
Control systems for turbines and farms
Optimization of energy capture and load mitigation in wind turbines and farms; wind farm controls for wake management.
Energy storage and grid integration
Storage systems toward more reliable, efficient, dispatchable and grid-friendly wind energy systems.
Foundations and towers
Higher towers, modeling and cost optimization, improved ground/soil assessments.
Structural health monitoring, nondestructive inspection, and testing
Testing, monitoring, damage detection and prognosis, and maintenance throughout the life cycle.
Wind farm modeling and measurement campaign
Simulation capability for power production, power fluctuations, and loads; LiDAR (light detection and ranging) experimental campaigns for wind farm performance diagnostic and model validation; wind resource characterization.