A Feasibility Study of a Tension-Leg Platform for Hydro-Powered Turbines System and Metocean Data Analysis for Floating Wind Turbine Design

Marine and wind energy stand as promising frontiers for clean and sustainable power generation. The first chapter of this study explores the feasibility of implementing a Tension Leg Platform (TLP) for a hydropower turbine system with an overall rated power of 1500 kW. The TLP semi-submersible concept for harnessing ocean energy is an innovative approach, which allows the employment of turbines in deep waters near the water surface. The TLP's structural and tendon parameters are examined through simplified static and dynamic analyses, ensuring its stability under extreme conditions. Furthermore, a power yield analysis is demonstrated, utilizing hindcast datasets of the Gulf Stream, to meticulously pinpoint the most suitable site. This selection process takes into careful consideration factors such as current velocities, water depth, and proximity to the shoreline. In the second chapter, we embark on a thorough preliminary analysis of metocean data, focusing on a potential site for wind turbine deployment. This analysis relies heavily on statistical examination, employing historical buoy data as well as high-resolution hindcasts for rigorous data validation. The findings illuminate the frequent occurrence of adverse weather conditions, marked by the prevalence of high and severe conditions, intermittently punctuated by storms.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Mechanical Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2024

Author dc:creator

• Alus, Avri

Advisor dc:contributor.advisor

• Sclavounos, Paul D.

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/153735

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/153735