Abstract
This study investigates the scaling of a Wave Energy Converter (WEC) to match the wave spectrum of the North Carolina coast, with the goal of enhancing energy production efficiency and reducing the levelized cost of electricity (LCOE). A detailed wave resource assessment was conducted across 491 sea sites. The analysis included the development of joint probability distribution matrices, seasonal wave energy trends, and flux density mapping. A WEC model based on the Department of Energy’s Reference Model 3 (RM3), modified with a slider-crank mechanism, was developed in WEC-Sim and fine-tuned using a reactive control algorithm. Site selection was informed by mechanical power outputs across various scaling scenarios. Final energy production and LCOE calculations were carried out using the System Advisor Model (SAM). The results indicated that the half-scale WEC configuration achieved the lowest LCOE. Although the LCOE remains relatively high, the study highlights the potential for improved project economics through co-location with offshore wind energy. Overall, the findings support the feasibility of scalable WEC deployment along the North Carolina coast and contribute to advancing sustainable offshore energy solutions.