CFD analysis and experimental investigation to determine the flow characteristics around NACA 4412 airfoil blades at different wind speeds and blade angles
Restricted accessResearch articleFirst published online October, 2023
CFD analysis and experimental investigation to determine the flow characteristics around NACA 4412 airfoil blades at different wind speeds and blade angles
An aerodynamically efficient blade is one of the prime necessities to extract the maximum mechanical power from a wind turbine. A number of researches are available in the literature studying blade design and configuration to improve aerodynamic characteristics of horizontal axis wind turbines. Less attention, however, has been devoted to wind turbines in terms of simultaneous optimization of blade and airfoil angles. The present study is important for the aerodynamic design and manufacturing of wind turbine blades. In this regard, various blade angles have been numerically simulated to determine the optimum blade angle. In addition to numerical analysis, experimental tests have been done to investigate NACA 4412 blade angle. As a result of this study, it was observed that blade angle in the range of 5°–10° showed the best performance among the tested various blade angles.
AkpinarEKAkpinarS. An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics. Energy Convers Manage2005; 46: 1848–1867.
2.
ChouJSChiuCKHuangIK, et al.Failure analysis of wind turbine blade under critical wind loads. Eng Fail Anal2013; 27: 99–118.
3.
HandBCashmanA. A review on the historical development of the lift-type vertical axis wind turbine: from onshore to offshore floating application. Sustainable Energy Technol Assess2020; 38: 100646.
4.
LinYTChiuPH. Influence of leading-edge protuberances of fx63 airfoil for horizontal-axis wind turbine on power performance. Sustainable Energy Technol Assess2020; 38: 100675.
5.
AbdelwalyMEl-BatshHHannaMB. Numerical study for the flow field and power augmentation in a horizontal axis wind turbine. Sustainable Energy Technol Assess2019; 31: 245–253.
6.
GradySAHussainiMYAbdullahMM. Placement of wind turbines using genetic algorithms. Renewable Energy2005; 30: 259–270.
7.
LachenalXDaynesSWeaverPM. Review of morphing concepts and materials for wind turbine blade applications. Wind Energy2013; 16: 283–307.
8.
ChenJWangQShenWZ, et al.Structural optimization study of composite wind turbine blade. Mater Des2013; 46: 247–255.
9.
BechlyMEClausenPD. Structural design of a composite wind turbine blade using finite element analysis. Comput Struct1997; 63: 639–646.
10.
CoxKEchtermeyerA. Structural design and analysis of a 10MW wind turbine blade. Energy Procedia2012; 24: 194–201.
11.
ShahDUSchubelPJCliffordMJ. Can flax replace E-glass in structural composites? A small wind turbine blade case study. Compos Part B: Eng2013; 52: 172–181.
12.
DuongMQGrimacciaFLevaS, et al.Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system. Renewable Energy2014; 70: 197–203.
13.
DuZSeligMS. The effect of rotation on the boundary layer of a wind turbine blade. Renewable Energy2000; 20: 167–181.
14.
EmamiANoghrehP. New approach on optimization in placement of wind turbines within wind farm by genetic algorithms. Renewable Energy2010; 35: 1559–1564.
15.
MarmidisGLazarouSPyrgiotiE. Optimal placement of wind turbines in a wind park using Monte Carlo simulation. Renewable Energy2008; 33: 1455–1460.
16.
JureczkoMEZYKPawlakMMężykA. Optimisation of wind turbine blades. J Mater Process Technol2005; 167: 463–471.
17.
KongCBangJSugiyamaY. Structural investigation of composite wind turbine blade considering various load cases and fatigue life. Energy2005; 30: 2101–2114.
18.
LanzafameRMauroSMessinaM. Evaluation of the radial flow effects on micro HAWTs through the use of a transition CFD 3D model–part I: state of the art and numerical model review. Energy Procedia2015; 82: 156–163.
19.
LeeMHShiahYCBaiCJ. Experiments and numerical simulations of the rotor-blade performance for a small-scale horizontal axis wind turbine. J Wind Eng Ind Aerodyn2016; 149: 17–29.
20.
SareenASapreCASeligMS. Effects of leading edge erosion on wind turbine blade performance. Wind Energy2014; 17: 1531–1542.
21.
LiQAMaedaTKamadaY, et al.Effect of number of blades on aerodynamic forces on a straight-bladed Vertical Axis Wind Turbine. Energy2015; 90: 784–795.
22.
ZhangLXingJWangJ, et al.Experimental study of the wake characteristics of a two-blade horizontal axis wind turbine by time-resolved PIV. Sci China Technol Sci2017; 60: 593–601.
23.
ThumthaeCChitsomboonT. Optimal angle of attack for untwisted blade wind turbine. Renewable Energy2009; 34: 1279–1284.
24.
SongFNiYTanZ. Optimization design, modeling and dynamic analysis for composite wind turbine blade. Procedia Eng2011; 16: 369–375.
25.
TangXHuangXPengR, et al.A direct approach of design optimization for small horizontal axis wind turbine blades. Procedia CIRP2015; 36: 12–16.
26.
XudongWShenWZZhuWJ, et al.Shape optimization of wind turbine blades. Wind Energy: Int J Prog Appl Wind Power Convers Technol2009; 12: 781–803.
27.
LeiYMullaneALightbodyG, et al.Modeling of the wind turbine with a doubly fed induction generator for grid integration studies. IEEE Trans Energy Convers2006; 21: 257–264.
28.
SchreckSRobinsonM. Rotational augmentation of horizontal axis wind turbine blade aerodynamic response. Wind Energy: Int J Prog Appl Wind Power Convers Technol2002; 5: 133–150.
29.
WrightAKWoodDH. The starting and low wind speed behaviour of a small horizontal axis wind turbine. J Wind Eng Ind Aerodyn2004; 92: 1265–1279.
30.
ChenZJStolKAMaceBR. Wind turbine blade optimisation with individual pitch and trailing edge flap control. Renewable Energy2017; 103: 750–765.
31.
ChenZHeYZhaoY, et al.High-order redesign method for wind turbine blade optimization in model test considering aerodynamic similarity. Ocean Eng2020; 202: 107156.
32.
RahimiHSchepersJGShenWZ, et al.Evaluation of different methods for determining the angle of attack on wind turbine blades with CFD results under axial inflow conditions. Renewable Energy2018; 125: 866–876.
33.
DuLIngramGDominyRG. Experimental study of the effects of turbine solidity, blade profile, pitch angle, surface roughness, and aspect ratio on the H-Darrieus wind turbine self-starting and overall performance. Energy Sci Eng2019; 7: 2421–2436.
34.
KhanlariASözenAŞirinC, et al.Performance enhancement of a greenhouse dryer: analysis of a cost-effective alternative solar air heater. J Cleaner Prod2020; 251: 119672.
35.
TuncerADSözenAKhanlariA, et al.Thermal performance analysis of a quadruple-pass solar air collector assisted pilot-scale greenhouse dryer. Sol Energy2020; 203: 304–316.
36.
AvalloneFRagniDCasalinoD. On the effect of the tip-clearance ratio on the aeroacoustics of a diffuser-augmented wind turbine. Renewable Energy2020; 152: 1317–1327.
37.
DevinantPLaverneTHureauJ. Experimental study of wind-turbine airfoil aerodynamics in high turbulence. J Wind Eng Ind Aerodyn2002; 90: 689–707.
