Achieving net-zero carbon emissions requires continuous improvements in renewable energy conversion systems. This thesis focuses on such improvement, in the context of offshore wind turbines. When it comes to wind farms, it is essential to understand how the different turbines interact with each other through their wakes. A better understanding of these phenomena can lead to more efficient controlling strategies, maximizing power extraction. This work presents an approach to wake modeling which differs from the common ones implemented in current simulation tools. The proposed model simulates wakes dynamically, allowing it to account for changing wind conditions, both in speed and direction, and visualize wake propagation over time.