Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade

Arslan, Sibel; Koca, Kemal

doi:10.1016/j.engappai.2023.106210

Cited by 10 publications

(1 citation statement)

References 37 publications

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“…These blades were specifically designed to tailor performance to the region's intense and erratic wind patterns, which are known to test the limits of traditional wind turbine resilience. This initiative represents a significant advancement in optimizing wind energy harnessing under demanding environmental conditions [79,80].…”

Section: Smart Blade Technologies In Harsh Environmentsmentioning

confidence: 99%

Advancing Wind Energy Efficiency: A Systematic Review of Aerodynamic Optimization in Wind Turbine Blade Design

Firoozi,

Hejazi,

Firoozi

2024

Energies

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Amid rising global demand for sustainable energy, wind energy emerges as a crucial renewable resource, with the aerodynamic optimization of wind turbine blades playing a key role in enhancing energy efficiency. This systematic review scrutinizes recent advancements in blade aerodynamics, focusing on the integration of cutting-edge aerodynamic profiles, variable pitch and twist technologies, and innovative materials. It extensively explores the impact of Computational Fluid Dynamics (CFD) and Artificial Intelligence (AI) on blade design enhancements, illustrating their significant contributions to aerodynamic efficiency improvements. By reviewing research from the last decade, this paper provides a comprehensive overview of current trends, addresses ongoing challenges, and suggests potential future developments in wind turbine blade optimization. Aimed at researchers, engineers, and policymakers, this review serves as a crucial resource, guiding further innovations and aligning with global renewable energy objectives. Ultimately, this work seeks to facilitate technological advancements that enhance the efficiency and viability of wind energy solutions.

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Section: Smart Blade Technologies In Harsh Environmentsmentioning

confidence: 99%