Numerical Study of the Effects of Maximum Thickness Variations in S1046 Airfoils on the Aerodynamic Performance of an H-Darrieus Wind Turbine

Vertical-axis wind turbines (VAWTs), including H-Darrieus rotors, are attractive for small-scale applications under variable wind conditions. Although airfoil-thickness effects have been examined for conventional NACA and other S-series profiles, systematic maximum-thickness variations of the symmetric S1046 airfoil remain insufficiently documented. This study therefore evaluates a three-bladed H-Darrieus turbine using the reference S1046 airfoil and six controlled maximum-thickness variations (−12.8%, −6.4%, +6.4%, +12.8%, +19.2%, and +32%). Transient two-dimensional URANS simulations, complemented by selected three-dimensional calculations, were performed in ANSYS Fluent 2020 R2 Fluent using the RNG k–ε turbulence model at a constant free-stream velocity of 6m/s and tested TSR values from 0.60 to 2.25. The corresponding local relative Reynolds number varied during rotor motion, with maximum values from 3.27×104 to 6.64×104 over the investigated TSR range. Among the tested configurations, the +19.2% thickness case produced the highest cycle-averaged power coefficient, CP¯=0.2692, comparable with 0.2589 for the reference S1046 airfoil, corresponding to an increase of 3.97%. The results indicate a non-monotonic thickness effect and identify +19.2% as the best-performing configuration among the discrete geometries investigated. The conclusions are restricted to the tested operating conditions and the adopted URANS numerical framework.

Authors

Institutions

Publication Details

Journal
Computation
Published
2026-10-26
DOI
https://doi.org/10.3390/computation14110263
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Study of the Effects of Maximum Thickness Variations in S1046 Airfoils on the Aerodynamic Performance of an H-Darrieus Wind Turbine

M. A. Basurto‐Pensado, Juan Carlos García, Iván Trejo-Zúñiga, Martin Moreno et al.
Computation
Wind Energy Research and Development
article

Numerical Study of the Effects of Maximum Thickness Variations in S1046 Airfoils on the Aerodynamic Performance of an H-Darrieus Wind Turbine

M. A. Basurto‐Pensado, Juan Carlos García, Iván Trejo-Zúñiga, Martin Moreno, Andrés Pérez-Terrazo, Dulce M. Graciano, Rogelio Martinez-Oropeza
article en

Abstract

Vertical-axis wind turbines (VAWTs), including H-Darrieus rotors, are attractive for small-scale applications under variable wind conditions. Although airfoil-thickness effects have been examined for conventional NACA and other S-series profiles, systematic maximum-thickness variations of the symmetric S1046 airfoil remain insufficiently documented. This study therefore evaluates a three-bladed H-Darrieus turbine using the reference S1046 airfoil and six controlled maximum-thickness variations (−12.8%, −6.4%, +6.4%, +12.8%, +19.2%, and +32%). Transient two-dimensional URANS simulations, complemented by selected three-dimensional calculations, were performed in ANSYS Fluent 2020 R2 Fluent using the RNG k–ε turbulence model at a constant free-stream velocity of 6m/s and tested TSR values from 0.60 to 2.25. The corresponding local relative Reynolds number varied during rotor motion, with maximum values from 3.27×104 to 6.64×104 over the investigated TSR range. Among the tested configurations, the +19.2% thickness case produced the highest cycle-averaged power coefficient, CP¯=0.2692, comparable with 0.2589 for the reference S1046 airfoil, corresponding to an increase of 3.97%. The results indicate a non-monotonic thickness effect and identify +19.2% as the best-performing configuration among the discrete geometries investigated. The conclusions are restricted to the tested operating conditions and the adopted URANS numerical framework.

ComputationVol. 14(11)
Tecnológico Nacional de México (MX), Universidad Tecnológica de San Juan del Río (MX), Universidad Autónoma del Estado de Morelos (MX)
Openalex Percentile: Top 30%
Wind Energy Research and Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon