Design and Analysis of Offshore Wind Turbines: Problem Formulation and Optimization Techniques

Researchers often explore metaheuristic algorithms for their studies. These algorithms possess unique features for solving optimization problems and are usually developed on the basis of real-world natural phenomena or animal and insect behavior. Numerous fields have benefited from metaheuristic alg...

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Bibliographic Details
Published in:Journal of marine science and application Vol. 23; no. 4; pp. 707 - 722
Main Authors: Ghaemifard, Saeedeh, Ghannadiasl, Amin
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024
Springer Nature B.V
Department of Civil Engineering,University of Mohaghegh Ardabili,Ardabil 56199-11367,Iran
Subjects:
Algorithms
Design
Design optimization
Design parameters
Electrical Machines and Networks
Energy costs
Energy resources
Engineering
Environmental conditions
Fossil fuels
Geotechnical Engineering & Applied Earth Sciences
Heuristic methods
Insects
Machinery and Machine Elements
Natural phenomena
Offshore
Offshore energy sources
Offshore Engineering
Optimization techniques
Power Electronics
Renewable energy
Renewable energy sources
Review
Turbine blades
Turbine engines
Turbines
Wind farms
Wind power
Wind turbines
Design
Wind Turbine Blade
Wind Turbine
Metaheuristic algorithm
Optimization
ISSN:1671-9433, 1993-5048
Online Access:Get full text
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Summary:Researchers often explore metaheuristic algorithms for their studies. These algorithms possess unique features for solving optimization problems and are usually developed on the basis of real-world natural phenomena or animal and insect behavior. Numerous fields have benefited from metaheuristic algorithms for solving real-world optimization problems. As a renewable energy source, offshore wind energy is a rapidly developing subject of research, attracting considerable interest worldwide. However, designing offshore wind turbine systems can be challenging because of the large space of design parameters and different environmental conditions, and the optimization of offshore wind turbines can be extremely expensive. Nevertheless, advanced optimization methods can help to overcome these challenges. This study explores the use of metaheuristic algorithms in optimizing the design of wind turbines, including wind farm layout and wind turbine blades. Given that offshore wind energy relies more heavily on subsidies than fossil fuel-based energy sources, lowering the costs for future projects, particularly by developing new technologies and optimizing existing methods, is crucial.
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ISSN:1671-9433
1993-5048
DOI:10.1007/s11804-024-00473-8