Simple mini simulation for generating optimal energy from wind through placing the windmill using Python, Pandas, Numpy and Matplotlib through the year 2018.
Wind energy has emerged as a promising alternative source for overcoming the energy crisis in the world. Wind power based energy is one of the most rapidly growing areas among the renewable energy sources and will continue to do so because of the growing concern about sustainability and emission reduction requirements. The uncertain nature of wind and high penetration of wind energy in power systems are a big challenge to the reliability and stability of these systems. To make wind energy a reliable source, accurate models for predicting the power output and performance monitoring of wind turbines are needed.
Putting a windmill in front of each other is not going to generate energy enough for the whole district. Behind a turbine, the speed of wind is reduced about 1/3. This phenomenon is called the wake.
Ørsted https://orsted.com/en/our-business/offshore-wind/wind-data
Vestas https://en.wind-turbine-models.com/turbines/1282-vestas-v136-3.45
Jupyter notebook