Banca de DEFESA: SALVATORE VERDE

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : SALVATORE VERDE
DATA : 26/03/2024
HORA: 14:00
LOCAL: meet.google.com/kne-bsbt-zoz
TÍTULO:

NON-SORTED GENETIC ALGORITHM OPTIMIZATION OF COST-EFFICIENT SYNTHETIC MOORING SYSTEMS UTILIZING POLYMER SPRINGS FOR 15 MW FLOATING WIND TURBINES IN RELATIVELY SHALLOW WATERS

 

PALAVRAS-CHAVES:

Floating Wind Turbine. Synthetic Rope. Shallow Water. Multi-objective Optimization. Spring Polymer.

PÁGINAS: 85
RESUMO:

The imperative transition to renewable energy sources, driven by the need to address energy security and climate change challenges, underscores the pivotal role of offshore wind energy. This study delves into the multifaceted aspects of wind energy, examining both the potential in shallow water installations and the ongoing paradigm shift towards larger turbine sizes. In the exploration of shallow water regions, economically viable locations for wind farms emerge between 50 and 70 meters in depth, employing shared anchor concepts and mooring line systems. The selection of an optimal system type is critical, and past research highlights the efficiency of synthetic fiber ropes over traditional chain catenary configurations. This paper presents dynamic analyses applied to a 15 MW turbine and the VolturnUS-S reference platform in the Celtic Sea. A comprehensive comparative assessment of planar displacements, rotations, and loads on a shared anchor is conducted using nylon and polyester ropes. Results show a notable 44% reduction in peak resolved anchor load with nylon compared to polyester, albeit with larger displacements and rotations, suggesting potential improvements in mooring design. With nylon being 10% more cost-effective than polyester and ongoing investigations into efficient anchor concepts, this study encourages further exploration of nylon applications in shallow-water wind farms. Simultaneously, the wind energy sector grapples with the challenge of escalating turbine sizes to reduce the levelized cost of energy. This necessitates smaller platform and mooring systems, especially in the context of shallow-water installations. Building upon prior research, which employed a multi-objective optimization (MO) framework for designing platforms and mooring systems with synthetic lines, this study extends the existing framework by incorporating computational efficiency strategies. The utilization of a static methodology and a running metric as a termination criteria for the MO contributes to computational efficiency. Additionally, the study explores the optimization of an alternative mooring system using spring polymer, revealing the potential for a substantial reduction in mooring system costs for smaller radii. This holistic approach addresses the dual challenge of enhancing turbine efficiency in larger sizes while adapting to the constraints posed by shallow-water installations. The fusion of insights from both aspects contributes to a more comprehensive understanding of the evolving landscape of offshore wind energy.

MEMBROS DA BANCA:
Presidente - 1121260 - EDUARDO NOBRE LAGES
Interno(a) - 1120928 - ADEILDO SOARES RAMOS JUNIOR
Externo(a) à Instituição - THIAGO PONTIN TANCREDI - UFSC
Externo(a) à Instituição - GUILHERME ROSA FRANZINI - USP
Externo(a) à Instituição - FÁBIO MARTINS GONÇALVES FERREIRA - UFAL