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Assessment and Nonlinear Modeling of Wave, Tidal and Wind Energy Converters and Turbines

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

off-shore wind farms (OSWFs); wake model; wind turbine (WT); Extreme Learning Machine (ELM); wind power (WP); large-eddy simulation (LES); point-absorbing; wave energy converter (WEC); maximum power point tracking (MPPT); flower pollination algorithm (FPA); power take-off (PTO); hill-climbing method; Kirsten–Boeing; vertical axis turbine; optimization; neural nets; Tensorflow; ANSYS CFX; metamodeling; FOWT; multi-segmented mooring line; inclined columns; semi-submersible; AFWT; floating offshore wind turbine (FOWT); pitch-to-stall; blade back twist; tower fore–aft moments; negative damping; blade flapwise moment; tower axial fatigue life; wave energy; oscillating water column; tank testing; valves; air compressibility; air turbine; wave-to-wire model; energy harnessing; energy converter; flow-induced oscillations; vortex-induced vibration; flow–structure interaction; hydrodynamics; vortex shedding; cylinder wake; tidal energy; site assessment; wave-current interaction; turbulence; integral length scales; wave-turbulence decomposition; OWC; wave power converting system; parametric study; caisson breakwater application; floating offshore wind turbines; frequency domain model; semisubmersible platform; 10 MW wind turbines; large floating platform; platform optimization; wind energy; floating offshore wind turbine; dynamic analysis; fatigue life assessment; flexible power cables

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03936-913-3

País de edición

Suiza