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Structural Optimization of Composite Blades
for Wind and Hydrokinetic Turbines
Global Marine Renewable Energy Conference (GMREC VI)
Almas Temple, Washington D.C.
April 11, 2013
Image: Marine Current Turbines
Danny Sale*, Alberto Aliseda*, and Michael Motley**
*Dept. of Mechanical Engineering
**Dept. of Civil & Environmental Engineering
University of Washington
Seattle, Washington, USA
Ye Li, IEEE Senior Member
National Wind Technology Center
National Renewable Energy Laboratory
Golden, Colorado, USA
Outline
● Background Info
● design of composite turbine blades
● Technical Approach
● structural mechanics
● validation
● optimization
● Preliminary Results
● optimized composite blade
● effects of uncertain material properties
● Ongoing Work
● exploring alternative blade designs for MHK
● coupling of hydrodynamic and structural optimization
K. Dykes & R. Meadows (2012) “Applications of Systems Engineering to the Research, Design, and Development of Wind
Energy Systems”
(artist: Rick Hinrichs)
Systems Optimization
Anatomy of a Composite Blade
Hydrokinetic blades similar to wind blades?
J. Mandell (2012).
“The SNL/MSU/DOE Fatigue
Program: Recent Trends”, 2012
SNL Blade Workshop.
Approach: Structural Mechanics
●
Classical Lamination Theory
●
discretize cross sections as laminated plates
●
Euler-Bernoulli Theory w/ Shear Flow Theory Applied to Composite Beams
●
Coupling between axial, bending, twisting
●
Recovery of 2D Lamina-Level Strain/Stress
●
Linear Buckling Analysis
●
Coupled Mode Shapes (BModes – FEM code from NREL)
Validation
● Comparison of Co-Blade results to FEM solutions
personal communication:
Hongli Jia (Ms.)
MS-PhD Candidate
Structures and Composites Laboratory
Hanyang University, Korea
Validation
● Comparison of Co-Blade results to FEM solutions
personal communication:
Hongli Jia (Ms.)
MS-PhD Candidate
Structures and Composites Laboratory
Hanyang University, Korea
Turbine Design Specs
Image: Marine Current Turbines
● Based off DOE Ref. Model
● Design load case:
● A “rotor sized” eddy approaches...
● Free stream increases from 2.3
m/s (nominal) to 3 m/s (x 1.3)
● Pitch control cannot respond to
shed excess load
Multi-Objective Optimization
● Structural objectives compete
w/ hydrodynamic objectives
● Identify Pareto frontier: set of
“equally optimal” designs
● How do we select a design?
Make trade-offs within set
Bill of Materials
J. Mandell, D. Samborsky, P. Agastra, A. Sears, and T. Wilson.
"Analysis of SNL/MSU/DOE Fatigue Database Trends for Wind Turbine Blade Materials."
Contractor Report SAND2010-7052, Sandia National Laboratories, Albuquerque, NM, 2010.
tri-axial
weave
+- 45
weave
uni-directional structural
foam
Structural Optimization
● Design Variables (control points)
-material thicknesses within each sub-component of the blade
-dimensions of root build-up, spar cap, LEP/TEP, shear webs
Structural Optimization
Results: Stress Analysis
critical stress area
blade-shell: E-glass
blade-root: E-glass
spar-uni: carbon
web-shell: E-glass
Predict failure of carbon fiber spar cap
● blade is very thin at ~75% span
● no more space inside for materials –
approaching limits of thin-wall theory!
● try again, increasing chord and hydrofoil
thickness – should improve structural
integrity
● highlights importance of coupling the
hydrodynamic & structural design process
Visualize stresses within each layer of
the composite blade
● almost all materials withstand loads within
acceptable limits, but...
Uncertain Material Properties
spar-uni: carbon
Uncertain material properties can arise from
● Manufacturing process
● Degradation & corrosion in marine environment
Use Monte Carlo analysis to quantify effect on blade response
● vary material props.
E11
, E22
, G12
, ν12
, ρ
● observe blade response
Uncertain Material Properties
spar-uni: carbon
Co-Blade source code & user's guide:
code.google.com/p/co-blade/
site visits:
~230 Downloads since Aug. 2012
Development of a Design Tool for Wind and MHK Turbines
● Code repositories help foster collaboration
● Track usage statistics, feedback on desired code features
Conclusion
spar-uni: carbon
Progress to Date:
● Developed design tools for wind & MHK devices
-method is generalized to a variety of turbine configurations
-consider large number of design variables & constraints
-focus on optimizing energy production, blade response, &
reducing loads
-reduce development time & lead to improved designs
Areas for Refinement:
(short-term)
● Extend Monte Carlo analysis
-geometric uncertainty (blade geom., ply angles, ply thickness)
-modal analysis (natural frequencies, mode shapes)
(longer-term)
● Need more validation! Especially stress/strain & buckling data
● Tighter coupling between hydrodynamic & structural design
● Coupling w/ unsteady fluid solver to study fluid-structure
interaction (GPU accelerated vortex particle methods & SPH)
Thank you!
Questions?
This work has also been made possible by
● National Science Foundation Graduate Research Fellowship under
Grant No. DGE-0718124
● Department of Energy, National Renewable Energy Laboratory
● University of Washington, Northwest National Marine Renewable
Energy Center

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Sale (2013) GMREC presentation - final

  • 1. Structural Optimization of Composite Blades for Wind and Hydrokinetic Turbines Global Marine Renewable Energy Conference (GMREC VI) Almas Temple, Washington D.C. April 11, 2013 Image: Marine Current Turbines Danny Sale*, Alberto Aliseda*, and Michael Motley** *Dept. of Mechanical Engineering **Dept. of Civil & Environmental Engineering University of Washington Seattle, Washington, USA Ye Li, IEEE Senior Member National Wind Technology Center National Renewable Energy Laboratory Golden, Colorado, USA
  • 2. Outline ● Background Info ● design of composite turbine blades ● Technical Approach ● structural mechanics ● validation ● optimization ● Preliminary Results ● optimized composite blade ● effects of uncertain material properties ● Ongoing Work ● exploring alternative blade designs for MHK ● coupling of hydrodynamic and structural optimization
  • 3. K. Dykes & R. Meadows (2012) “Applications of Systems Engineering to the Research, Design, and Development of Wind Energy Systems” (artist: Rick Hinrichs) Systems Optimization
  • 4. Anatomy of a Composite Blade Hydrokinetic blades similar to wind blades? J. Mandell (2012). “The SNL/MSU/DOE Fatigue Program: Recent Trends”, 2012 SNL Blade Workshop.
  • 5. Approach: Structural Mechanics ● Classical Lamination Theory ● discretize cross sections as laminated plates ● Euler-Bernoulli Theory w/ Shear Flow Theory Applied to Composite Beams ● Coupling between axial, bending, twisting ● Recovery of 2D Lamina-Level Strain/Stress ● Linear Buckling Analysis ● Coupled Mode Shapes (BModes – FEM code from NREL)
  • 6. Validation ● Comparison of Co-Blade results to FEM solutions personal communication: Hongli Jia (Ms.) MS-PhD Candidate Structures and Composites Laboratory Hanyang University, Korea
  • 7. Validation ● Comparison of Co-Blade results to FEM solutions personal communication: Hongli Jia (Ms.) MS-PhD Candidate Structures and Composites Laboratory Hanyang University, Korea
  • 8. Turbine Design Specs Image: Marine Current Turbines ● Based off DOE Ref. Model ● Design load case: ● A “rotor sized” eddy approaches... ● Free stream increases from 2.3 m/s (nominal) to 3 m/s (x 1.3) ● Pitch control cannot respond to shed excess load
  • 9. Multi-Objective Optimization ● Structural objectives compete w/ hydrodynamic objectives ● Identify Pareto frontier: set of “equally optimal” designs ● How do we select a design? Make trade-offs within set
  • 10. Bill of Materials J. Mandell, D. Samborsky, P. Agastra, A. Sears, and T. Wilson. "Analysis of SNL/MSU/DOE Fatigue Database Trends for Wind Turbine Blade Materials." Contractor Report SAND2010-7052, Sandia National Laboratories, Albuquerque, NM, 2010. tri-axial weave +- 45 weave uni-directional structural foam
  • 11. Structural Optimization ● Design Variables (control points) -material thicknesses within each sub-component of the blade -dimensions of root build-up, spar cap, LEP/TEP, shear webs
  • 13. Results: Stress Analysis critical stress area blade-shell: E-glass blade-root: E-glass spar-uni: carbon web-shell: E-glass Predict failure of carbon fiber spar cap ● blade is very thin at ~75% span ● no more space inside for materials – approaching limits of thin-wall theory! ● try again, increasing chord and hydrofoil thickness – should improve structural integrity ● highlights importance of coupling the hydrodynamic & structural design process Visualize stresses within each layer of the composite blade ● almost all materials withstand loads within acceptable limits, but...
  • 14. Uncertain Material Properties spar-uni: carbon Uncertain material properties can arise from ● Manufacturing process ● Degradation & corrosion in marine environment Use Monte Carlo analysis to quantify effect on blade response ● vary material props. E11 , E22 , G12 , ν12 , ρ ● observe blade response
  • 16. Co-Blade source code & user's guide: code.google.com/p/co-blade/ site visits: ~230 Downloads since Aug. 2012 Development of a Design Tool for Wind and MHK Turbines ● Code repositories help foster collaboration ● Track usage statistics, feedback on desired code features
  • 17. Conclusion spar-uni: carbon Progress to Date: ● Developed design tools for wind & MHK devices -method is generalized to a variety of turbine configurations -consider large number of design variables & constraints -focus on optimizing energy production, blade response, & reducing loads -reduce development time & lead to improved designs Areas for Refinement: (short-term) ● Extend Monte Carlo analysis -geometric uncertainty (blade geom., ply angles, ply thickness) -modal analysis (natural frequencies, mode shapes) (longer-term) ● Need more validation! Especially stress/strain & buckling data ● Tighter coupling between hydrodynamic & structural design ● Coupling w/ unsteady fluid solver to study fluid-structure interaction (GPU accelerated vortex particle methods & SPH)
  • 18. Thank you! Questions? This work has also been made possible by ● National Science Foundation Graduate Research Fellowship under Grant No. DGE-0718124 ● Department of Energy, National Renewable Energy Laboratory ● University of Washington, Northwest National Marine Renewable Energy Center