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Research Article

Design and optimization of seagull airfoil wind energy conversion device

ORCID Icon, , , , &
Pages 1046-1063 | Received 03 Nov 2020, Accepted 06 Feb 2021, Published online: 31 Mar 2021
 

ABSTRACT

Remote areas in Northwest China are blind regions without large-scale power grid coverage. To satisfy the residential electricity demand, it is essential to utilize small-scale distributed wind power systems and increase wind energy utilization. The seagull airfoil wind energy conversion device is adopted to improve the aerodynamic performance and increase the use of wind energy. Based on the wind tunnel experiment and numerical simulation, the bending shape of the seagull airfoil is optimized. Further, the cascade structure is constructed using the central bending seagull airfoil to explore the flow mechanisms. The front and rear cascades are the main and secondary regions, accounting for 84% and 16% of the force generated, respectively. The deformation of the blade is significantly larger at the trailing edge than at the leading edge, thereby exhibiting unique deformation characteristics of seagull airfoils. When the impeller is rotated, the average force of each seagull airfoil was 15.1% more than that of the flat airfoil, thereby enabling the absorption of more wind energy and device optimization. Owing to the stress and deformation distribution, the seagull airfoil blade can adapt to different aerodynamic loads by changing the cambers and angles of attack to ensure smooth operation of the device.

Acknowledgments

This project is supported by the sponsorship of Inner Mongolia Science & Technology Project Plan “Research on Dynamic Response of Wind Turbine Blade Structure and Application Demonstration of Crack Detection” (2019).

Nomenclature

a=

Angle of attack (AOA)

C=

Airfoil chord length (mm)

Cp=

Pressure coefficient

CL=

Lift coefficient

CD=

Drag coefficient

CPL=

Airfoil lower surface pressure coefficient

CPU=

Airfoil upper surface pressure coefficient

ΔCL=

Difference in L under adjacent conditions

Cle=

Experimental lift coefficient

CLs=

Simulated lift coefficient

|ΔCL|=

Absolute value of the difference between CLe and CLs

3D=

Three dimensional

Δ=

Relative error between experimental and simulated lift coefficients (%)

E=

Elastic modulus (MPa)

F=

Tension force caused by wind

FS=

Full scale (%)

f=

Mean cambers of airfoils

L=

Airfoil span length (mm)

L=

Lift force (N)

N=

Grid number

P∞=

Pressure of the wind tunnel inlet (Pa)

Pu=

Upper surface of the blade

Pl=

Lower surface of the blade

Pi=

Dynamic pressure (Pa)

ρair=

Air density (kg/m3)

ρm=

Material density (kg/m3)

ξ=

Thickness of the seagull airfoil (mm)

μ=

Poisson’s ratio

vmax=

Max wind speed (m/s)

Δs=

Micro-element area of the blade

TI=

Turbulence intensity (%)

V∞=

Wind velocity of wind tunnel inlet

w=

Growth rate w of each blade F

X=

Distance along chord from the leading edge (mm)

Z=

Distance along span from the leading edge (mm)

Zu=

Curvilinear coordinates of the upper surface of the airfoil

Zl=

Curvilinear coordinates under the airfoil surface

Z(c)=

Airfoil shape line coordinates

Z(t)=

Profile coordinates of airfoil thickness distribution

Additional information

Funding

This work was supported by the Inner Mongolia Science & Technology Project Plan (2019) [Research on dynamic response of wind turbine blade].

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