Model Assumptions

Turbine Height

The dataset that the model was trained on (i.e. wind speeds), were based on wind speeds 100 metres above sea level.

Thrust Coefficent

Due to the thrust force varying between wind turbines, I chose an average thrust coefficent value of 0.7 for my calcuations (from Gemini and ChatGPT).

Wake Decay Constant

I used a wake decay constant of 0.075 as that seems to be the typical value used in other wake effect models.

Turbine Vertical Distance

As the model converts the the area into a grid, it assumes that turbines can be placed side by side (by a distance of inputted rotor diameter).

Change in Atmosphere Pressure

Made a rough assumption that for every 100 metres above sea level, the air pressure decreases by about 1 kPa.

Power Coefficent

Given a realistic range I took the middle value of 0.385 for a wind turbines' power coefficent.

Capacity Factor

As wind turbines don't run at max capacity 100% of the time, I took an average of 37% from this research publication.

Air Density

The calculations for air density within a grid was based on weather data from numerous stations across Ontario from 1991-2020.