Intelligent and sensor data driven mobile wind energy systems

Wind energy systems are gaining popularity as an important aspect of future renewable energy systems. In current wind energy systems, the wind turbine is sited at a given location in a static manner. Such a location is one that is determined to have a high wind speed and wind power potential. However, wind is a dynamic meteorological phenomenon. Therefore, a case in which the wind speed and wind power potential becomes variable should be considered. However, it is infeasible for a wind turbine to change locations when the wind power potential changes across different locations. The discussion in this paper addresses this challenge by proposing a sensor data driven wind energy system incorporating mobile wind turbines. The mobile wind turbine receives processed information from a computing facility via a drone network. This enables the transition of the mobile wind turbine to a location determined to have a high wind power potential. Results show that the use of mobile wind turbines enhances the output of wind turbine and total farm power output by an average of (41.2–45.5) % and (50.8–67) %, respectively.