Largest Vertical Axis Wind Turbine Installation in U.S. Operating at Texas A&M

Texas A&M University Corpus Christi is now the proud owner of the largest vertical axis wind turbine (VAWT) installation of its kind in the United States, thanks to the launch of three 20-kW and eight smaller turbines installed across its campuses.

These eleven VAWTs are capable of a producing combined output of 92 kW and will help to not only power the university, but to also create learning and research opportunities for students and staff. According to the University, because of the area's strong afternoon winds, the turbines will generate peak power during the time when the demand for electricity on campus is peaking.

"Typically, we have high-speed winds in the afternoon, so the wind is in sync with the high power demand the campus experiences during the daytime. At many other locations across the country, the needed high-speed winds occur at night outside of the peak-power demand phase." - Dr. L.D. Chen, associate dean of Engineering and Computing Sciences

One of the small 4-kilowatt campus wind turbines is mounted on a tilt-up tower so it can be lowered horizontally and opened for inspection and service, allowing hands-on access for students. In addition, the power output of the turbines and the wind conditions on campus are being monitored and posted to a website for both students and the public to use.

"The harvesting of wind energy for power generation will significantly increase the University’s installed capacity of renewable energy, and greatly reduce its carbon footprint, saving an estimated $18,000 to $25,000 a year in utility costs. The wind turbines will produce an estimated 217,946 kilowatt hours of electricity generated from renewable resources." - Texas A&M Corpus Christi

Find out more at their website: Texas A&M Corpus Christi Wind Energy

Largest Vertical Axis Wind Turbine Installation in U.S. Operating at Texas A&M
The abundance of afternoon high-speed winds in Corpus Christi will enable the turbines to generate peak power during times of peak demand.

Related Content on