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AI-Optimized Wind Turbine Blade Design for Offshore Applications

Gurmang Science Journal of Engineering 20 March 2025 Vol. 6, Issue 1 pp. 96-114
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DOI: 10.1016/j.gs.2025.008

Keywords: wind energy AI design offshore wind CFD renewable energy

Abstract

Using generative AI and computational fluid dynamics, we developed next-generation offshore wind turbine blades that increase energy capture by 12% while reducing material costs by 8%. Field trials at North Sea installations confirm simulation predictions.

Authors & Affiliations

D
Dr. Michael Okafor (Corresponding)

University of Oxford, United Kingdom

ORCID: 0000-0003-4567-8901

P
Prof. Kenji Tanaka

University of Tokyo, Japan

ORCID: 0000-0005-6789-0123

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