This book offers a comprehensive exploration of the advanced computational and mathematical techniques essential for optimizing Wave Energy Converter (WEC) systems. As the demand for sustainable and renewable energy sources intensifies, wave energy emerges as a promising solution with vast untapped potential. This volume serves as a crucial resource for understanding the hydrodynamics, control methods, and numerical modeling necessary to design and enhance WEC systems effectively.

The chapters delve into diverse topics, including the application of multi-criteria decision-making (MCDM) techniques and fuzzy logic theory for optimizing ocean wave energy. Readers will discover how spherical fuzzy multi-criteria group decision-making techniques are employed. The book also highlights advancements in Computational Fluid Dynamics (CFD) and multi-objective optimization algorithms, which are pivotal in improving wave energy harvesting efficiency. Additionally, the integration of Artificial Intelligence (AI) for predictive maintenance and fault diagnosis in hybrid solar-wind microgrid systems is explored.

This book is invaluable for researchers, engineers, and practitioners in marine renewable energies and ocean engineering. It provides cutting-edge insights into the computational and optimization strategies necessary for advancing sustainable maritime transportation and achieving the Sustainable Development Goals (SDG-14).