Wind turbine design through evolutionary algorithms based on surrogate CFD methods

DOI10.1007/s11081-012-9187-1zbMath1294.76215OpenAlexW1975743748WikidataQ59305257 ScholiaQ59305257MaRDI QIDQ402206

Vicente Díaz-Casás, Jose-Antonio Becerra, Fernando Lopez-Peña, Richard J. Duro

Publication date: 27 August 2014

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-012-9187-1

zbMATH Keywords

automatic designevolutionary techniqueswind turbines

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Flow control and optimization for compressible fluids and gas dynamics (76N25)

Uses Software

• AESOP

Cites Work

• AESOP -- a numerical platform for aerodynamic shape optimization
• Aerodynamic optimization of turbomachinery blades using evolutionary methods and ANN-based surrogate models
• Aerodynamic design via control theory
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