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Effectively Using Multifidelity Optimization for Wind Turbine Design
John Jasa
,
Pietro Bortolotti
,
Daniel Zalkind
,
Garrett Barter
National Wind Technology Center
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Dive into the research topics of 'Effectively Using Multifidelity Optimization for Wind Turbine Design'. Together they form a unique fingerprint.
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Engineering
Model Fidelity
100%
Wind Turbines Design
100%
Wind Power
66%
Computational Cost
66%
Rotor Blade
33%
Wind Turbine System
33%
Layout Optimization
33%
Plant Layout
33%
Optimal Design
33%
Surrogate Model
33%
Design Process
33%
Design Power
33%
Blade Geometry
33%
Compressed Air Motors
33%
Controller Design
33%
Design Problem
33%
Electric Power Plant
33%