Publication type: | Conference paper |
Type of review: | Peer review (abstract) |
Title: | Optimisation of symmetrical aerofoils for a vertical axis wind turbine |
Authors: | Righi, Marcello Anderegg, David Manfriani, Leonardo Ammann, Michael Oram, Christian Yildirim, Anil Martins, Joaquim R. Coretti, Oier |
et. al: | No |
DOI: | 10.2514/6.2022-3384 |
Proceedings: | AIAA AVIATION 2022 Forum |
Conference details: | AIAA AVIATION Forum, Chicago, USA, 27 June - 1 July 2022 |
Issue Date: | 20-Jun-2022 |
Publisher / Ed. Institution: | American Institute of Aeronautics and Astronautics |
ISBN: | 978-1-62410-635-4 |
Language: | English |
Subjects: | Aerodynamic; Wind tunnel test; Optimisation; Wind turbine |
Subject (DDC): | 530: Physics 620: Engineering |
Abstract: | This paper presents the results of the optimisation of aerofoils designed for the blades of a vertical axis wind turbine. The aerofoils are symmetrical and have thickness values of 27%, 33% and 50\%, with respect to the chord length. The aerofoils are optimised using ADflow, an open-source RANS CFD solver developed for gradient-based design optimisation. We performed two sets of optimisations and validated the optimal designs from both sets, measuring their performance in the wind tunnel. We used the first wind tunnel campaign to quantify the performance degradation caused by surface roughness and tune the turbulence model accordingly. The following optimisation runs did include at least one operational point with higher surface roughness. The outcome of the optimisation is significant, as the new aerofoils provide much better performance in terms of aerodynamic efficiency, suitability of the position of the aerodynamic centre, and sectional area. Numerical and experimental data are consistent. The results highlight the importance of capturing the fundamental physics in CFD-based design optimisation to minimise the discrepancies between the numerical predictions and experimental results with the optimal designs. Finally, the performance improvement measured experimentally of the optimal aerofoils verifies the utility of CFD-based design optimisation. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/27077 |
Fulltext version: | Published version |
License (according to publishing contract): | Licence according to publishing contract |
Departement: | School of Engineering |
Organisational Unit: | Institute of Mechanical Systems (IMES) Centre for Aviation (ZAV) |
Published as part of the ZHAW project: | AGILE Wind Tunnel Testing |
Appears in collections: | Publikationen School of Engineering |
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Righi, M., Anderegg, D., Manfriani, L., Ammann, M., Oram, C., Yildirim, A., Martins, J. R., & Coretti, O. (2022, June 20). Optimisation of symmetrical aerofoils for a vertical axis wind turbine. AIAA AVIATION 2022 Forum. https://doi.org/10.2514/6.2022-3384
Righi, M. et al. (2022) ‘Optimisation of symmetrical aerofoils for a vertical axis wind turbine’, in AIAA AVIATION 2022 Forum. American Institute of Aeronautics and Astronautics. Available at: https://doi.org/10.2514/6.2022-3384.
M. Righi et al., “Optimisation of symmetrical aerofoils for a vertical axis wind turbine,” in AIAA AVIATION 2022 Forum, Jun. 2022. doi: 10.2514/6.2022-3384.
RIGHI, Marcello, David ANDEREGG, Leonardo MANFRIANI, Michael AMMANN, Christian ORAM, Anil YILDIRIM, Joaquim R. MARTINS und Oier CORETTI, 2022. Optimisation of symmetrical aerofoils for a vertical axis wind turbine. In: AIAA AVIATION 2022 Forum. Conference paper. American Institute of Aeronautics and Astronautics. 20 Juni 2022. ISBN 978-1-62410-635-4
Righi, Marcello, David Anderegg, Leonardo Manfriani, Michael Ammann, Christian Oram, Anil Yildirim, Joaquim R. Martins, and Oier Coretti. 2022. “Optimisation of Symmetrical Aerofoils for a Vertical Axis Wind Turbine.” Conference paper. In AIAA AVIATION 2022 Forum. American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2022-3384.
Righi, Marcello, et al. “Optimisation of Symmetrical Aerofoils for a Vertical Axis Wind Turbine.” AIAA AVIATION 2022 Forum, American Institute of Aeronautics and Astronautics, 2022, https://doi.org/10.2514/6.2022-3384.
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