The main purpose of the thesis is to use archival wind speed measurements and a mathematical model to estimate the wind farm's electricity production, to estimate the household electric energy consumption, to estimate the electric battery as an energy storage and its state of charge, and to ensure the equality between electric energy production and consumption at each time step.
The estimation of electric energy production from a wind farm depends on the location, size of the farm, efficiency, weather parameters and time steps. The estimation of household electric energy consumption depends on the number of household electric energy consumers, their power and operating time and time steps. The assessment of the electric battery includes the variation of the state of charge and the capacity of the battery.
The first part of the thesis describes in more detail the theoretical principles of operation and the factors influencing the calculations. The history of the wind farm and what all influences its production is described. How to calculate the electric energy consumption of our household and something about storing energy in batteries is presented.
In the second part, we put theory into practice and calculate the electric energy production of a wind farm using the wind data obtained at the chosen location and the equations presented in the first part. The consumption of the household was obtained according to the extracted specifications of each operating device and the equations for the electric energy, and scaled where necessary. The impact of the battery was presented as a storage device, which stores the excess energy and returns it to the system when needed, subject to the constraints presented previously.
The analysis of the mathematical model showed that a wind farm at the chosen location could be operational and supply households, but not at all times, as days without wind would cause problems. The wind farm could not supply the households on its own, nor could it supply them with an additional battery. We would need compensation for days without wind. The three peaks would cause the most problems for self-supply: in the morning around 6am when people wake up, around noon when it is time for lunch and finally around 5pm when dinners are cooked. The most optimal load for our AN Bonus 1000/54 wind farm with a 2.4 MWh battery is 450 households. The windiest month during the winter period was January.
|