Mixed CFD-1D wind turbine diffuser design optimization

Sorribes Palmer, Felix and Sanz Andres, Angel Pedro and Ayuso Moreno, Luis Manuel and Sant Palma, Rodolfo and Franchini Longhi, Sebastian Nicolas (2016). Mixed CFD-1D wind turbine diffuser design optimization. "Renewable Energy", v. 2016 ; pp. 386-399. ISSN 0960-1481. https://doi.org/10.1016/j.renene.2016.12.065.


Title: Mixed CFD-1D wind turbine diffuser design optimization
  • Sorribes Palmer, Felix
  • Sanz Andres, Angel Pedro
  • Ayuso Moreno, Luis Manuel
  • Sant Palma, Rodolfo
  • Franchini Longhi, Sebastian Nicolas
Item Type: Article
Título de Revista/Publicación: Renewable Energy
Date: May 2016
ISSN: 0960-1481
Volume: 2016
Freetext Keywords: Diffuser; wind turbine; CFD; DAWT; wind energy; wake
Faculty: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Department: Aeronaves y Vehículos Espaciales
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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A method to design a diffuser augmented wind turbine (DAWT) is proposed, using as a guiding point the optimal pressure drop at the turbine. The use of concepts and expressions derived from a 1D analytic model helped to reduce the number of computational fluid dynamics simulations needed to find the optimal configuration. The proposed configuration can extract energy from the flow with the same efficiency as the state-of-the-art shrouded wind turbine (SWT) configurations but generating a significantly smaller wake, which makes this configuration a good candidate for wind farms or tidal applications. Furthermore, as a product of the 1D model, universal curves for the power coefficient have been obtained, as a function of the thrust coefficient, or disk loading, which have been compared with numerical and experimental results, showing a good agreement. Finally, the maximum ideal power coefficient has been found for a given configuration, which helps to estimate the margin for improvement of an actual design.

More information

Item ID: 48182
DC Identifier: http://oa.upm.es/48182/
OAI Identifier: oai:oa.upm.es:48182
DOI: 10.1016/j.renene.2016.12.065
Official URL: https://www.sciencedirect.com/science/article/pii/S0960148116311247
Deposited by: Memoria Investigacion
Deposited on: 08 Feb 2018 12:03
Last Modified: 23 Feb 2018 08:57
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