Preliminary Techno-Economic Study of Optimized Floating Offshore Wind Turbine Substructure

Adebayo Ojo (), Maurizio Collu and Andrea Coraddu
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Adebayo Ojo: Department of Naval Architecture Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK
Maurizio Collu: Department of Naval Architecture Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK
Andrea Coraddu: Department of Maritime & Transport Technology, Delft University of Technology, 2628 CD Delft, The Netherland

Energies, 2024, vol. 17, issue 18, 1-27

Abstract: Floating offshore wind turbines (FOWTs) are still in the pre-commercial stage and, although different concepts of FOWTs are being developed, cost is a main barrier to commercializing the FOWT system. This article aims to use a shape parameterization technique within a multidisciplinary design analysis and optimization framework to alter the shape of the FOWT platform with the objective of reducing cost. This cost reduction is then implemented in 30 MW and 60 MW floating offshore wind farms (FOWFs) designed based on the static pitch angle constraints (5 degrees, 7 degrees and 10 degrees) used within the optimization framework to estimate the reduction in the levelized cost of energy (LCOE) in comparison to a FOWT platform without any shape alteration–OC3 spar platform design. Key findings in this work show that an optimal shape alteration of the platform design that satisfies the design requirements, objectives and constraints set within the optimization framework contributes to significantly reducing the CAPEX cost and the LCOE in the floating wind farms considered. This is due to the reduction in the required platform mass for hydrostatic stability when the static pitch angle is increased. The FOWF designed with a 10 degree static pitch angle constraint provided the lowest LCOE value, while the FOWF designed with a 5 degree static pitch angle constraint provided the largest LCOE value, barring the FOWT designed with the OC3 dimension, which is considered to have no inclination.

Keywords: FOWT; optimization algorithm; shape parameterization; CAPEX; fixed-bottom (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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