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Numerical Investigation of Distributed Trailing Edge
Suction for Wind Turbine Aerofoils using CFD
Vinit V. Dighe
The University of Auckland
Supervisor: Dr. John E. Cater
13th February 2015
Vinit V. Dighe (AWES 2015) 13th
February 2015 1 / 20
Overview
1 Challenges for large turbine blades
2 Boundary layer suction
3 New blade design
4 Porous modeling
5 CFD results
Wake study
Boundary layer flow
6 Aerodynamic performance
7 Goals and future work
Vinit V. Dighe (AWES 2015) 13th
February 2015 2 / 20
Wind Energy: A Clean Energy
The depletion of fossil fuel based electricity production has led to the
growth of renewable energy resources
Wind energy has been expanding with a global production of 35 GW
in 2013
85 countries participated in the commercial wind activity and almost
24 countries reported more than 1 GW capacity by the year end
Vinit V. Dighe (AWES 2015) 13th
February 2015 3 / 20
Challenges for Wind Turbine Manufacturers
Wind turbine blade sizes have grown considerably throughout the
years.
Large turbine blades
Hub and the tip regions are exposed to weakly correlated perturbations
Requires long thick profile regions to satisfy structural requirements
Boundary layer control could
Delay separation
Improve aerodynamic performance
Control structural loads
Vinit V. Dighe (AWES 2015) 13th
February 2015 4 / 20
Boundary Layer Suction: A Possible Solution
Prandtl in 1904 demonstrated the e↵ect of boundary layer suction
applied via slit on one side of the cylinder
Mature technology applied in aviation, automotive and other
industries
The focus is on improving the flow at the blade tip and root region,
and maximizing the lift/drag ratio
Vinit V. Dighe (AWES 2015) 13th
February 2015 5 / 20
The New Design
Vinit V. Dighe (AWES 2015) 13th
February 2015 6 / 20
Data Acquisition and Analysis
The aerodynamic forces on the porous
media would require the following
parameters for its approximation
L =
I
pn.kdA (1)
D =
I
pn.idA (2)
4 p = (
µ
↵
u +
1
2
C⇢ | u | u) 4 x (3)
4x =
4x90
sin(✓)
(4)
Vinit V. Dighe (AWES 2015) 13th
February 2015 7 / 20
Suction Implementation
Figure : Suction = 0.5 m/s
Figure : Suction = 1.5 m/s
Figure : Suction = 1 m/s
Figure : Suction = 2 m/s
Vinit V. Dighe (AWES 2015) 13th
February 2015 8 / 20
Wake Analysis
Figure : 6 , no suction Figure : 6 , suction =0.5 m/s
Vinit V. Dighe (AWES 2015) 13th
February 2015 9 / 20
Wake Analysis
Figure : 12 , no suction
Figure : 12 , suction =0.5 m/s
Vinit V. Dighe (AWES 2015) 13th
February 2015 10 / 20
Boundary Layer Thickness
Figure : 6 , no suction Figure : 6 , suction =0.5 m/s
Vinit V. Dighe (AWES 2015) 13th
February 2015 11 / 20
Boundary Layer Thickness
Figure : 12 , no suction Figure : 12 , suction =0.5 m/s
Vinit V. Dighe (AWES 2015) 13th
February 2015 12 / 20
Pressure coe cient comparison
Figure : 6 Figure : 12
Vinit V. Dighe (AWES 2015) 13th
February 2015 13 / 20
Aerodynamic Performance
Suction implementation favours the lift coe cient, especially for higher
angles of attack.
Vinit V. Dighe (AWES 2015) 13th
February 2015 14 / 20
Aerodynamic Performance
Drag coe cient is reduced for small amount of suction, which increases
considerably beyond the suction velocity of 1 m/s.
Vinit V. Dighe (AWES 2015) 13th
February 2015 15 / 20
Aerodynamic Performance
The maximum lift/drag ratio is achieved at the suction velocity of 0.5 m/s.
Vinit V. Dighe (AWES 2015) 13th
February 2015 16 / 20
Summary
The optimal suction velocity was found to be 0.5 m/s
A delay in transition of flow from laminar to turbulent was observed
for 6 angle of attack
A delay in separation was observed for 12 angle of attack
The total increment of power for the turbine model is 3400 watts for
the distributed suction consumption of 550 watts
Vinit V. Dighe (AWES 2015) 13th
February 2015 17 / 20
Goals and Future Work
Detatched Eddy Simulation (DES) on the 3D blade section to account for
the span-wise flow distribution.
Vinit V. Dighe (AWES 2015) 13th
February 2015 18 / 20
Goals and Future Work
Vorticity distribution around the blade element.
Vinit V. Dighe (AWES 2015) 13th
February 2015 19 / 20

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pre copy

  • 1. Numerical Investigation of Distributed Trailing Edge Suction for Wind Turbine Aerofoils using CFD Vinit V. Dighe The University of Auckland Supervisor: Dr. John E. Cater 13th February 2015 Vinit V. Dighe (AWES 2015) 13th February 2015 1 / 20
  • 2. Overview 1 Challenges for large turbine blades 2 Boundary layer suction 3 New blade design 4 Porous modeling 5 CFD results Wake study Boundary layer flow 6 Aerodynamic performance 7 Goals and future work Vinit V. Dighe (AWES 2015) 13th February 2015 2 / 20
  • 3. Wind Energy: A Clean Energy The depletion of fossil fuel based electricity production has led to the growth of renewable energy resources Wind energy has been expanding with a global production of 35 GW in 2013 85 countries participated in the commercial wind activity and almost 24 countries reported more than 1 GW capacity by the year end Vinit V. Dighe (AWES 2015) 13th February 2015 3 / 20
  • 4. Challenges for Wind Turbine Manufacturers Wind turbine blade sizes have grown considerably throughout the years. Large turbine blades Hub and the tip regions are exposed to weakly correlated perturbations Requires long thick profile regions to satisfy structural requirements Boundary layer control could Delay separation Improve aerodynamic performance Control structural loads Vinit V. Dighe (AWES 2015) 13th February 2015 4 / 20
  • 5. Boundary Layer Suction: A Possible Solution Prandtl in 1904 demonstrated the e↵ect of boundary layer suction applied via slit on one side of the cylinder Mature technology applied in aviation, automotive and other industries The focus is on improving the flow at the blade tip and root region, and maximizing the lift/drag ratio Vinit V. Dighe (AWES 2015) 13th February 2015 5 / 20
  • 6. The New Design Vinit V. Dighe (AWES 2015) 13th February 2015 6 / 20
  • 7. Data Acquisition and Analysis The aerodynamic forces on the porous media would require the following parameters for its approximation L = I pn.kdA (1) D = I pn.idA (2) 4 p = ( µ ↵ u + 1 2 C⇢ | u | u) 4 x (3) 4x = 4x90 sin(✓) (4) Vinit V. Dighe (AWES 2015) 13th February 2015 7 / 20
  • 8. Suction Implementation Figure : Suction = 0.5 m/s Figure : Suction = 1.5 m/s Figure : Suction = 1 m/s Figure : Suction = 2 m/s Vinit V. Dighe (AWES 2015) 13th February 2015 8 / 20
  • 9. Wake Analysis Figure : 6 , no suction Figure : 6 , suction =0.5 m/s Vinit V. Dighe (AWES 2015) 13th February 2015 9 / 20
  • 10. Wake Analysis Figure : 12 , no suction Figure : 12 , suction =0.5 m/s Vinit V. Dighe (AWES 2015) 13th February 2015 10 / 20
  • 11. Boundary Layer Thickness Figure : 6 , no suction Figure : 6 , suction =0.5 m/s Vinit V. Dighe (AWES 2015) 13th February 2015 11 / 20
  • 12. Boundary Layer Thickness Figure : 12 , no suction Figure : 12 , suction =0.5 m/s Vinit V. Dighe (AWES 2015) 13th February 2015 12 / 20
  • 13. Pressure coe cient comparison Figure : 6 Figure : 12 Vinit V. Dighe (AWES 2015) 13th February 2015 13 / 20
  • 14. Aerodynamic Performance Suction implementation favours the lift coe cient, especially for higher angles of attack. Vinit V. Dighe (AWES 2015) 13th February 2015 14 / 20
  • 15. Aerodynamic Performance Drag coe cient is reduced for small amount of suction, which increases considerably beyond the suction velocity of 1 m/s. Vinit V. Dighe (AWES 2015) 13th February 2015 15 / 20
  • 16. Aerodynamic Performance The maximum lift/drag ratio is achieved at the suction velocity of 0.5 m/s. Vinit V. Dighe (AWES 2015) 13th February 2015 16 / 20
  • 17. Summary The optimal suction velocity was found to be 0.5 m/s A delay in transition of flow from laminar to turbulent was observed for 6 angle of attack A delay in separation was observed for 12 angle of attack The total increment of power for the turbine model is 3400 watts for the distributed suction consumption of 550 watts Vinit V. Dighe (AWES 2015) 13th February 2015 17 / 20
  • 18. Goals and Future Work Detatched Eddy Simulation (DES) on the 3D blade section to account for the span-wise flow distribution. Vinit V. Dighe (AWES 2015) 13th February 2015 18 / 20
  • 19. Goals and Future Work Vorticity distribution around the blade element. Vinit V. Dighe (AWES 2015) 13th February 2015 19 / 20