Díaz-Canul, F., Aguilar, J.O. orcid.org/0000-0001-9325-0591, Rosado-Hau, N. et al. (2 more authors) (2025) Design of low-power vertical-axis wind turbine based on parametric method. Wind, 5 (4). p. 35. ISSN: 2674-032X
Abstract
The parametric design of a low-power (<1 kW) H-type vertical-axis wind turbine tailored to the wind conditions of the Yucatán Peninsula is presented. Nine airfoils were evaluated using the Double Multiple Streamtube method and Qblade Lifting-Line Theory numerical simulations, considering variations in solidity (σ = 0.20–0.30), aspect ratio (Ar = H/R = 2.6–3.0), number of blades (2–5), and a swept-area constraint of 4 m2. The parametric study shows that fewer blades increase Cp, although a three-blade rotor improves start-up torque, vibration mitigation, and load smoothing. The recommended configuration—three blades, Ar = 2.6, σ = 0.30 and S1046 (or NACA 0018) operated near λ ≈ 3.75—balances efficiency and start-up performance. For the representative mean wind velocity of 5 m/s, typical of the Yucatán Peninsula, the VAWT achieves a maximum output of 136 W at 220 rpm. Under higher-wind conditions observed in specific sites within the region, the predicted maximum output increases to 932 W at 380 rpm.
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | DMS; QLLT; Qblade; vertical axis wind turbine; VAWT design |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Multidisciplinary Engineering Education (Sheffield) |
| Date Deposited: | 17 Dec 2025 09:28 |
| Last Modified: | 17 Dec 2025 09:28 |
| Status: | Published |
| Publisher: | MDPI AG |
| Refereed: | Yes |
| Identification Number: | 10.3390/wind5040035 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:235568 |
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