Wind Energy Section, Flow Physics and Technology, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW, United Kingdom
Yan Wu
Wind Energy Section, Flow Physics and Technology, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands
David Bretos
Wind Energy Department, Centro Nacional de Energías Renovables (CENER), Ciudad de la Innovación, no. 7, 31621 Sarriguren (Navarra), Spain
Aurelio Cascales
Wind Energy Department, Centro Nacional de Energías Renovables (CENER), Ciudad de la Innovación, no. 7, 31621 Sarriguren (Navarra), Spain
Oscar Pires
Wind Energy Department, Centro Nacional de Energías Renovables (CENER), Ciudad de la Innovación, no. 7, 31621 Sarriguren (Navarra), Spain
Wind Energy Section, Flow Physics and Technology, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands
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Total article views: 4,571 (including HTML, PDF, and XML)
Thereof 4,423 with geography defined
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Total article views: 3,684 (including HTML, PDF, and XML)
Thereof 3,589 with geography defined
and 95 with unknown origin.
Total article views: 887 (including HTML, PDF, and XML)
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This paper compares six different numerical models to predict the performance of an X-shaped vertical-axis wind turbine, offering insights into how it works in 3D when its blades are fixed at specific angles. The results showed the 3D models here reliably predict the performance while still taking this turbine's complex aerodynamics into account compared to 2D models. Further, these blade angles caused more complexity in predicting the turbine's behaviour, which is highlighted in this paper.
This paper compares six different numerical models to predict the performance of an X-shaped...
