G
Gabriele Bedon
Researcher at University of Padua
Publications - 29
Citations - 394
Gabriele Bedon is an academic researcher from University of Padua. The author has contributed to research in topics: Vertical axis wind turbine & Aerodynamics. The author has an hindex of 9, co-authored 28 publications receiving 338 citations. Previous affiliations of Gabriele Bedon include Energy Research Centre of the Netherlands.
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Performance-optimized airfoil for Darrieus wind turbines
TL;DR: In this paper, an optimization method, featuring a loop algorithm which includes a genetic optimizer, a two-dimensional URANS CFD model, a fitness calculator and an airfoil generator, is created and deployed to develop a new aerodynamic shape which can possibly increase the aerodynamic performance of a Darrieus wind turbine.
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Optimization of a Darrieus vertical-axis wind turbine using blade element – momentum theory and evolutionary algorithm
TL;DR: In this paper, an extended database generation procedure for symmetric profiles is discussed and validated with the aim of adopting numerical optimization methods for vertical-axis wind turbine design, and the pure performance and the annual energy production are considered in order to show the capabilities of the numerical code.
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Computational assessment of the DeepWind aerodynamic performance with different blade and airfoil configurations
Gabriele Bedon,Uwe Schmidt Paulsen,Helge Aagaard Madsen,Federico Belloni,Marco Raciti Castelli,Ernesto Benini +5 more
TL;DR: In this article, an aerodynamic improvement of the DeepWind rotor is conducted adopting different rotor geometries and solutions with respect to the original configuration while keeping the comparison as fair as possible.
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Evaluation of the different aerodynamic databases for vertical axis wind turbine simulations
TL;DR: In this paper, a review on a wide number of different aerodynamic coefficient databases to be used for vertical axis wind turbine simulations is conducted in this work, where the databases are adopted in conjunction with a Blade Element-Momentum algorithm, a commonly used tool to design and verify the aerodynamic behaviour of these machines.
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Proposal for an innovative chord distribution in the Troposkien vertical axis wind turbine concept
TL;DR: In this paper, an innovative design for the Troposkien concept is introduced by means of an advanced chord distribution, computed using the WOMBAT (Weatherly Optimization Method for Blades of Air Turbines) algorithm for the performance optimization of vertical axis wind turbines.