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DOE OSTI · 1869435

Enabling Innovation in Wind Turbine Design Using Artificial Intelligence

Vijayakumar, Ganesh (ORCID:0000000152282511)·Glaws, Andrew·Lee, Bumseok·Jung, Yong Su·Baeder, James·Doronina, Olga·Grey, Zachary (ORCID:0000000312441623)·Jasa, John (ORCID:0000000154422792)·Marepally, Koushik·King, Ryan·Ananthan, Shreyas
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Abstract

The Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements (INTEGRATE) project is developing a new inverse-design capability for wind turbine rotors using invertible neural networks. This artificial intelligence (AI)-based technology can capture complex nonlinear aerodynamic effects 100 times faster than alternative design approaches.

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aerodynamicsairfoilartificial intelligencebladedesigninverse designmachine learningMATHEMATICS AND COMPUTING,WIND ENERGYneural networkswind energy

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Vijayakumar, Ganesh (ORCID:0000000152282511), Glaws, Andrew, Lee, Bumseok, Jung, Yong Su, Baeder, James, Doronina, Olga, Grey, Zachary (ORCID:0000000312441623), Jasa, John (ORCID:0000000154422792), Marepally, Koushik, King, Ryan, Ananthan, Shreyas. 2022-05-17. Enabling Innovation in Wind Turbine Design Using Artificial Intelligence. https://www.osti.gov/biblio/1869435

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