Titelmasterformat durch Turbine Klicken bearbeiten Optimisation in Tidal Design Sebastien Digard, R&D Mechanical team lead

© CADFEM 2015

ANSYS Conference & 2nd CADFEM Ireland Users’ Meeting 24th & 25th September 2015 - Engineers Ireland, Dublin

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OpenHydro Today • 7th version of 6m turbine in EMEC •

Several thousands of hours running time

• 4 x 16m turbines to be deployed in 2015 • •

2 in Canada in 2015, 6 in 2017, 25 in 2019, 150 after 2020… 2 in France

• 16m turbine built, deployed, recovered. •

Running time : 5 months

© CADFEM 2015

S Digard, CADFEM Ireland users‘s meeting sept 24th 2015

2

OpenHydro’s Design

Cost

•Lower part count •No gearbox •Long O&M intervals •Low deployment cost

Reliability •One moving part •No seals or lubricants •No gearbox •No pitch mechanism •No slew mechanism

Performance

•Efficiency: •Hydrodynamic –lower than wind-type •Mechanical – higher as only 1 moving part •Electrical – similar overall •Overall – target similar to wind type © CADFEM 2015

S Digard, CADFEM Ireland users‘s meeting sept 24th 2015

3

OpenHydro’s Design

• Convergence issues • Bi-directional blades are difficult to converge • Lots of transient phenomenon

• Loading confidence required •

High mesh density, transient simulations…

• Lots of running cases • ~ 10 design points (TSR) • ~ 20 angles • … more than 200 calculations

Results needed ASAP!

© CADFEM 2015

S Digard, CADFEM Ireland users‘s meeting sept 24th 2015

4

Why optimisation?

• Find the best design… • Company context : moving from proof of concept to industrial scale • We want the lowest Levelized Cost of Energy (LCOE) • Decrease costs, increase performance.

• …With a lean Design process • The whole Design process needs to be robust to parameter changes • Be prepared for unexpected cases! • If company mature enough, think manufacturing • What is my optimisation target? • Optimisations requires a good understanding of your product © CADFEM 2015

S Digard, CADFEM Ireland users‘s meeting sept 24th 2015

5

Optimisation processes • First, a simple case : 2D optimisation of the venturi • Objective : increase power available through the venturi • Constraints: off-axis loads • 4 parameters, ~90 runs in 24h on 8 core machine

© CADFEM 2015

S Digard, CADFEM Ireland users‘s meeting sept 24th 2015

6

Optimisation processes • 3D optimisation of blades (CFX only), built in workbench • Objective : maximise power • Constraints : depends on projects • More than 30 parameters • around 600 to 700 runs per optimisations  need to look into your solve strategy

Blade

The optimisation is controlled by an excel file : - Can create any bi-directional shape we want and writes input files for turboGrid - Can be handy for complex outputs formula - Easy to archive and rerun cases

Venturi

© CADFEM 2015

S Digard, CADFEM Ireland users‘s meeting sept 24th 2015

7

Optimisation processes • 3D optimisation of blades, built in Optislang • • • •

Useful for big models that require a DOE (Design Of Experiment) Better failure management Better license management Better CPU management

Run all Excel

© CADFEM 2015

Create all meshes

Solve all cases

S Digard, CADFEM Ireland users‘s meeting sept 24th 2015

Post process all

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Next steps • Working on adding : • Blade FEA • Sub Sea Base sliding and overturning • Cost functions • …

© CADFEM 2015

S Digard, CADFEM Ireland users‘s meeting sept 24th 2015

9

Other uses of optimisation • Understand the real stuff • We created a numerical model of our turbine • We optimise the physical parameters of the model to match the outputs of the real machine

Numerical Turbine

Flow velocity

• • • • © CADFEM 2015

RPM

Hydro coefficients Bearing system Inertia Control system

S Digard, CADFEM Ireland users‘s meeting sept 24th 2015

10

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