Darrieus Wind Turbine Performance Prediction: Computational Modeling - Technological Innovation for the Internet of Things Access content directly
Conference Papers Year : 2013

Darrieus Wind Turbine Performance Prediction: Computational Modeling

N. C. Batista
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R. Melício
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V. F. Mendes
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J. Figueiredo
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A. H. Reis
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Abstract

The Vertical Axis Wind Turbines Darrieus is facing a rapid installations growth due to the interest for a decentralizing generation. The Darrieus aerodynamic behavior analysis is a hard computational task. This paper starts by offering an insight into the Darrieus wind turbines performance prediction and proposes an algorithm based on the Multiple Streamtube modeling as a prediction approach in order to have an admissible handing in an Internet of things environment.
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hal-01348776 , version 1 (25-07-2016)

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N. C. Batista, R. Melício, V. F. Mendes, J. Figueiredo, A. H. Reis. Darrieus Wind Turbine Performance Prediction: Computational Modeling. 4th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2013, Costa de Caparica, Portugal. pp.382-391, ⟨10.1007/978-3-642-37291-9_41⟩. ⟨hal-01348776⟩
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