Aerodynamic performance enhancement of horizontal axis wind turbines by dimples on blades: Numerical investigation

Hamed Sedighi, Pooria Akbarzadeh and Ali Salavatipour

Energy, 2020, vol. 195, issue C

Abstract: In this study, the effect of dimpled surface blade on the performance of V47-660 kW horizontal axis wind turbine is numerically investigated. For this purpose, the suction sides of the wind turbine blades are passively modified using some spherical dimples. The governing continuity and momentum equations are solved using an incompressible Reynolds-Averaged Navier-Stokes solver and k−ω Shear-Stress Transport turbulent model. The effect of radius, location, and quantity of dimples on the aerodynamic performance of the wind turbine including torque and power generation, flow separation, and thrust load are studied to find an appropriate case. Then the effect of blade pitch angle and wind speed is also examined on the best-dimpled blades. The results show that dimples could be effective in increasing the torque and power generation if they are designed appropriately. Obtained results reveal that for the best situation, dimples could improve the generating torque by around 16.08%.

Keywords: Wind turbine; Torque; Passive method; Dimples; Pitch angle; Wind speed (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544220301638
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:195:y:2020:i:c:s0360544220301638

DOI: 10.1016/j.energy.2020.117056

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().