matlab coding

Wind power is one of the myriad renewable energies that we can exploit to reduce our dependence on fossil fuels. For this assignment, you will determine how much power is available in the wind at Toowoomba Airport to have an indication of what is possible. Five years’ worth of data from the Bureau of Meteorology for Toowoomba Airport is available as “[login to view URL]” (stored in “[login to view URL]”) from the Study Desk. From this data, you will be able to calculate the power in an undisturbed stream of air with cross-section A1: 3 0 1 0 1 2 P   Au (1) where  is the air density and u0 the air speed. To calculate the density, the ideal gas law can be used: p   RT (2) where p is the pressure, R = 287.0 J/kg.K is the ideal gas constant for air and T is the air temperature (in Kelvin). You must plot the wind speed versus time. An easy method of displaying the time in the plot is to use the column of data that was created using the datenum function. To convert these numbers into a nice format, use the command datetime (time is the number that is > 732 000): displaytime = datetime(time, 'ConvertFrom','datenum'); If your installation of MATLAB is prior to R2014b, you don’t have the function datetime, so plot time so it starts from zero using: displaytime = datenum – datenum(1); You are required to calculate the power in an undisturbed stream of air of radius 20 m (which is a typical wind turbine size). To report your results, you should plot the power versus time and also save the time and power in a text file. Requirements For this assessment item, you must produce MATLAB code which: 1. Loads the data file. 2. Checks that the values that have been loaded into MATLAB correspond to the values in the data file (code verification). You should confirm this is the case by displaying in the Command Window the first 5 values of wind speed and temperature; you must display a statement that you have confirmed that these values are correct. 3. Plots the data for the wind speed versus time. 4. Plots the data for air density versus time. 5. Computes the power in an undisturbed stream of air. 6. Plots the power in an undisturbed stream of air versus time. 7. Displays a message in the Command Window showing the average power and the maximum power for the entire dataset. You will receive an unusual result for the average power; we will look at how to fix this in Assignment 2. 8. Displays a message in the Command Window showing the average power and the maximum power for the first week of data. 9. Stores the data for the time and power in an ASCII file so that it could be used to plot the power versus time by someone else writing a different code. 10. Has appropriate comments throughout.