With a global impetus toward utilizing more renewable energy sources, wind presents a promising, increasingly tapped resource. Despite the many technological advancements made in upgrading wind-powered systems, a systematic and reliable way to assess competing technologies has been a challenge.
In a new case study, researchers at Texas A&M University, in collaboration with international energy industry partners, have used advanced data science methods and ideas from the social sciences to compare the performance of different wind turbine designs.
“Currently, there is no method to validate if a newly created technology will increase wind energy production and efficiency by a certain amount,” said Dr. Yu Ding, Mike and Sugar Barnes Professor in the Wm Michael Barnes '64 Department of Industrial and Systems Engineering. “In this study, we provided a practical solution to a problem that has existed in the wind industry for quite some time.”
Read more at: Texas A&M University
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