Offshore wind farms have the potential to provide a significant source of renewable energy, but they also present a number of challenges. One key challenge is the harsh marine environment, which can lead to corrosion and damage of equipment. Additionally, the installation and maintenance of wind turbines in offshore locations can be difficult and costly.

When studying the feasibility of an offshore wind farm project, there are several key design variables and performance indicators that are considered. Site selection is an important factor, as the wind and sea conditions at a particular location will have a significant impact on the performance of the wind farm. Density, or the number of turbines per unit area, is also an important variable, as it will affect the overall power output of the farm.

Wind and sea conditions are also important factors to consider. The wind speed and direction at a particular location will determine the power output of the turbines, while sea conditions such as wave height and water depth will impact the installation and maintenance of the turbines. Other key performance indicators include the capacity factor, which measures the actual energy output of the farm compared to its theoretical maximum output, and the levelized cost of energy, which compares the total cost of the farm over its lifetime to the total energy produced.

In this demonstration, we see how the apps Visual Scripting (Visual Script Designer role) & Parametric Design Study (Design Automation Engineer) can help perform quick and efficient preliminary studies.