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Cost assessment for a semi-submersible floating wind turbine with respect to the hydrodynamic response and tower base bending moments using particle swarm optimisation
Publikationstyp
Conference Paper
Date Issued
2016-06
Sprache
English
TORE-URI
Volume
2016-January
Start Page
419
End Page
426
Citation
International Offshore and Polar Engineering Conference: 419-426 (2016-06)
Contribution to Conference
Cost reduction of a floating wind turbine is crucial for developing wind parks in deep water. Therefore, a study to identify the impact of a number of parameters, such as wind turbine rating, top mass and site conditions, on platform size and support structure cost of a generic semi-submersible was developed. In order to do so, a Python code, which estimates the platform behaviour, was coupled with a Particle Swarm Optimisation (PSO) algorithm. With this, the minimum cost of the support structure could be found which satisfies specified design constraints.
Subjects
Cost optimisation
Floating wind turbine
Hydrodynamic response
Particle swarm optimisation
Semi-submersible
Tower base stress
Wind- and wave loads