LAPSE:2023.34870
Published Article
LAPSE:2023.34870
High-Fidelity Modeling and Investigation on Blade Shape and Twist Angle Effects on the Efficiency of Small-Scale Wind Turbines
Widad Yossri, Samah Ben Ayed, Abdessattar Abdelkefi
April 28, 2023
A high-fidelity analysis is carried out in order to evaluate the effects of blade shape, airfoil cross-section. as well as twist angle distribution on the yielded torque and generated power of a horizontal axis Small-Scale Wind Turbine (SSWT). A computational modeling and an effective design for a small turbine with a blade length of 25 cm subject to a 4 m/s freestream velocity are presented, in which a segregated RANS solver is utilized. Four airfoil profiles are assessed, namely NACA0012, NACA0015, NACA4412, and NACA4415, and two blade shape configurations, rectangular and tapered, are evaluated. The flow around the rotating turbines is investigated along with blade stresses and performance output for each configuration. Subsequently, the impact of various linear and nonlinear twist distributions on SSWT efficiency is also examined. Results show that for the studied operating conditions corresponding to low-speed flows, the rectangular blade configuration outperforms the tapered blade shape from the generated torque and power perspectives, while the tapered shape configuration represents an attractive design choice from the yielded stresses point of view. Additionally, while the nonlinear twist configuration results in the best performance among the configurations studied, an SSWT blade design implementing a linear twist distribution can be highly competitive provided that a good slope is carefully selected.
Keywords
blade geometry, Energy Efficiency, flow visualization, high-fidelity simulations, small-scale horizontal axis wind turbines, twist angle
Suggested Citation
Yossri W, Ben Ayed S, Abdelkefi A. High-Fidelity Modeling and Investigation on Blade Shape and Twist Angle Effects on the Efficiency of Small-Scale Wind Turbines. (2023). LAPSE:2023.34870
Author Affiliations
Yossri W: Department of Mechanical and Aerospace Engineering, New Mexico State University, Las Cruces, NM 88003, USA
Ben Ayed S: Department of Engineering Technology and Surveying Engineering, New Mexico State University, Las Cruces, NM 88003, USA
Abdelkefi A: Department of Mechanical and Aerospace Engineering, New Mexico State University, Las Cruces, NM 88003, USA [ORCID]
Journal Name
Energies
Volume
16
Issue
8
First Page
3430
Year
2023
Publication Date
2023-04-13
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16083430, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.34870
This Record
External Link

doi:10.3390/en16083430
Publisher Version
Download
Files
[Download 1v1.pdf] (9.4 MB)
Apr 28, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
142
Version History
[v1] (Original Submission)
Apr 28, 2023
 
Verified by curator on
Apr 28, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.34870
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version