review · Energies
Aerodynamic optimisation of wind turbine blades is central to improving the efficiency and viability of wind energy systems. Recent developments across the past decade focus on integrating advanced aerodynamic profiles, variable pitch and twist mechanisms, and innovative materials into blade structures. Digital tools, specifically Computational Fluid Dynamics and Artificial Intelligence, have demonstrated substantial contributions to enhancing aerodynamic efficiency through improved design processes. By evaluating these technical approaches, ongoing operational challenges, and design trends, the synthesis outlines how modern engineering tools shape blade performance. The compiled insights provide a consolidated overview intended to help engineers, researchers, and policymakers target future innovations that align with broader renewable energy generation goals.
Improving wind turbine efficiency is essential as global demand for clean, sustainable power increases. Better blade design allows turbines to capture more energy from the wind, making renewable power generation more productive and economically viable. Understanding how modern computational tools and materials contribute to blade aerodynamics helps direct future technical solutions towards meeting international clean energy targets.
This work informs blade design improvements for engineers and wind energy technology developers. It covers methodologies such as Computational Fluid Dynamics, Artificial Intelligence tools, and variable pitch or twist mechanisms. Because the text is a systematic review synthesizing research from the past decade rather than presenting a single validated product, the insights serve as early-stage guidance to help industry practitioners optimise blade performance.
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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.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.3390/en17122919
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