LAPSE:2023.16018
Published Article
LAPSE:2023.16018
Development of a Genetic Algorithm Code for the Design of Cylindrical Buoyancy Bodies for Floating Offshore Wind Turbine Substructures
March 2, 2023
The Levelized Cost of Energy for floating offshore wind must decrease significantly to be competitive with fixed offshore wind projects or even with onshore wind projects. This study focuses on the design optimization of cylindrical buoyancy bodies for floating substructures of offshore wind turbines. The presented work is based on a previously studied buoyancy body design that allows an efficient manufacturing process and integration into different substructures. In this study, an optimization framework based on genetic algorithm is developed to parameterize the buoyancy body’s geometry and optimize its design in terms of cost, considering loads acting on the structure as well as manufacturing and floater specific dimension restrictions. The implementation of the optimization process is detailed, and tested for a given study case. Two structurally different genetic algorithms are considered in order to compare the results obtained and asses the performance of the presented optimization framework.
Keywords
buoyancy body, design optimization, floating offshore wind, Genetic Algorithm, levelized cost of energy, structural analysis
Subject
Suggested Citation
Benifla V, Adam F. Development of a Genetic Algorithm Code for the Design of Cylindrical Buoyancy Bodies for Floating Offshore Wind Turbine Substructures. (2023). LAPSE:2023.16018
Author Affiliations
Benifla V: Lehrstuhl für Windenergietechnik, Universität Rostock, Albert-Einstein-Str. 2, 18059 Rostock, Germany [ORCID]
Adam F: Lehrstuhl für Windenergietechnik, Universität Rostock, Albert-Einstein-Str. 2, 18059 Rostock, Germany; GICON-Großmann Ingenieur Consult GmbH, Tiergartenstr. 48, 01219 Dresden, Germany [ORCID]
Journal Name
Energies
Volume
15
Issue
3
First Page
1181
Year
2022
Publication Date
2022-02-05
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15031181, Publication Type: Journal Article
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LAPSE:2023.16018
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doi:10.3390/en15031181
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Mar 2, 2023
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CC BY 4.0
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Mar 2, 2023
 
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