Comparative Analysis of Three Different Optimization Models for Offshore Wind Farm Layout.

Every year, the transformations in the production of electricity reflect concerns about climate change and the need to diversify the energy matrix. In Brazil, wind energy is on the rise, with 97 offshore projects in the process of environmental licensing by IBAMA. This study investigates the optimization of the layout of two wind farms in northeastern Brazil, Pedra Grande and Camocim, using three optimization algorithms: Bat Algorithm, Grey Wolf Optimizer and Multiverse Optimization Algorithm. The arrangement of wind turbines is crucial to maximize power generation, requiring a detailed analysis of aerodynamic effects to ensure the efficiency and sustainability of these projects