SIAM News: Modeling improves efficiency of wind turbines
Engineering professor explains why optimizing wind turbines is so important
A University of Cincinnati engineer explained to SIAM News how mathematical modeling can have a profound impact on the implementation of wind turbines.
Sameh Eisa.
Sameh Eisa, an assistant professor of aerospace engineering in UC's College of Engineering and Applied Science, wrote about the benefits of modeling for the news journal of the Society for Industrial and Applied Mathematics.
Eisa said wind power accounted for more new energy installed in 2020 than any other source, representing 42% of new U.S. capacity.
"Given this rapid expansion, further research is necessary to develop and implement state-of-the-art tools and technologies whose efficiency will match the increased demand,” Eisa said.
According to Eisa, wind farms are subject to inherent fluctuations with less predictability and more sensitivity to uncontrollable conditions such as the weather. That makes modeling, particularly a type called time-domain mathematical modeling, especially beneficial, Eisa said.
Featured image at top: UC assistant professor Sameh Eisa explains how mathematical modeling can help utilities optimize wind power. Photo/Bombermoon/iStockPhoto
Related Stories
Sugar overload killing hearts
November 10, 2025
Two in five people will be told they have diabetes during their lifetime. And people who have diabetes are twice as likely to develop heart disease. One of the deadliest dangers? Diabetic cardiomyopathy. But groundbreaking University of Cincinnati research hopes to stop and even reverse the damage before it’s too late.
Is going nuclear the solution to Ohio’s energy costs?
November 10, 2025
The Ohio Capital Journal recently reported that as energy prices continue to climb, economists are weighing the benefits of going nuclear to curb costs. The publication dove into a Scioto Analysis survey of 18 economists to weigh the pros and cons of nuclear energy. One economist featured was Iryna Topolyan, PhD, professor of economics at the Carl H. Lindner College of Business.
App turns smartwatch into detector of structural heart disease
November 10, 2025
An app that uses an AI model to read a single-lead ECG from a smartwatch can detect structural heart disease, researchers reported at the 2025 Scientific Sessions of the American Heart Association. Although the technology requires further validation, researchers said it could help improve the identification of patients with heart failure, valvular conditions and left ventricular hypertrophy before they become symptomatic, which could improve the prognosis for people with these conditions.