Darrieus Wind Turbine Performance Prediction: Computational Modeling N. Batista, R. Melício, V. Mendes, J. Figueiredo, A. Reis To cite this version: N. Batista, R. Melício, V. Mendes, J. Figueiredo, A. Reis. Darrieus Wind Turbine Performance Pre- diction: 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 HAL Id: hal-01348776 https://hal.archives-ouvertes.fr/hal-01348776 Submitted on 25 Jul 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Darrieus Wind Turbine Performance Prediction: Computational Modeling N.C. Batista 1, R. Melício 1, V.M.F. Mendes 2, J. Figueiredo 1, A.H. Reis 1 1 University of Évora, Évora, Portugal,
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[email protected] 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.