How do ballast water, pitch angle, and tower material impact the optimization of a concrete semisubmersible floating offshore wind turbine?

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Abstract Despite significant progress in floating offshore wind turbine (FOWT) technology , there are still several challenges, including the design of a cost-effective system. Considerable research has been dedicated to optimizing the floating platform geometry, layout, dimensions, and weight over the past few years, with some focusing on semisubmersible platforms, where steel is often used for both the platform and tower. However, concrete FOWTs may be more cost-effective and reduce the carbon footprint. Other areas requiring further research include the impact of the tower material, maximum inclination angle, and confining ballast water within dimensionally variable compartments during optimization. The study aims to address these points through a hydrostatic optimization of a novel 15 MW concrete semisubmersible FOWT using a genetic algorithm method. The results show that the platform mass reduction for pitch angles larger than 6 degrees is lower compared to that for angles smaller than 6 degrees regardless of the tower material. Moreover, confining the ballast water inside dimensionally variable compartments leads to a lower semisubmersible platform weight. Finally, an initial comparison of raw material costs shows that a concrete platform with a steel tower offers the most cost-effective solution compared to a FOWT entirely made from steel or concrete.
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How do ballast water, pitch angle, and tower material impact the optimization of a concrete semisubmersible floating offshore wind turbine? | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article How do ballast water, pitch angle, and tower material impact the optimization of a concrete semisubmersible floating offshore wind turbine? John H. Chujutalli, Jeferson Osmar Almeida, Mojtaba Maali Amiri, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5099458/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 04 Apr, 2025 Read the published version in Journal of Ocean Engineering and Marine Energy → Version 1 posted 10 You are reading this latest preprint version Abstract Despite significant progress in floating offshore wind turbine (FOWT) technology , there are still several challenges, including the design of a cost-effective system. Considerable research has been dedicated to optimizing the floating platform geometry, layout, dimensions, and weight over the past few years, with some focusing on semisubmersible platforms, where steel is often used for both the platform and tower. However, concrete FOWTs may be more cost-effective and reduce the carbon footprint. Other areas requiring further research include the impact of the tower material, maximum inclination angle, and confining ballast water within dimensionally variable compartments during optimization. The study aims to address these points through a hydrostatic optimization of a novel 15 MW concrete semisubmersible FOWT using a genetic algorithm method. The results show that the platform mass reduction for pitch angles larger than 6 degrees is lower compared to that for angles smaller than 6 degrees regardless of the tower material. Moreover, confining the ballast water inside dimensionally variable compartments leads to a lower semisubmersible platform weight. Finally, an initial comparison of raw material costs shows that a concrete platform with a steel tower offers the most cost-effective solution compared to a FOWT entirely made from steel or concrete. Floating Offshore Wind Turbines Concrete Semisubmersible Platform Optimization Genetic Algorithm Hydrostatic Behavior Concrete and Steel Tower Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 04 Apr, 2025 Read the published version in Journal of Ocean Engineering and Marine Energy → Version 1 posted Editorial decision: Revision requested 01 Nov, 2024 Reviews received at journal 30 Oct, 2024 Reviews received at journal 24 Oct, 2024 Reviewers agreed at journal 20 Oct, 2024 Reviewers agreed at journal 14 Oct, 2024 Reviewers agreed at journal 29 Sep, 2024 Reviewers invited by journal 26 Sep, 2024 Editor assigned by journal 19 Sep, 2024 Submission checks completed at journal 19 Sep, 2024 First submitted to journal 16 Sep, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5099458","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":373126607,"identity":"ad3dc9c2-9369-44a4-83f3-a45baf8c915b","order_by":0,"name":"John H. 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