I need help paraphrasing this...
1. Some of the main factors that would be considered when assessing a variable wind source for electricity generation are the location of the turbines. The location of the turbines prove to be significant since the wind speed distribution is not as even in the Arizona desert, versus the Great Plains and will not create enough wind to turn the turbines and produce electricity. The seasonal wind speeds are also considered as a main factor. An example used in the article shared was that during the summer, in the Midwest, the wind speed distribution is at its lowest when the peak demand is at its highest. This creates a false assessment that the Midwest cannot provide a sustainable wind energy source.
2. Weibull distributions are generally used for wind speed distributions because barring a hurricane, or tornado, the wind speeds in an area will maintain a relatively low speed. This will cause the graph of the wind speed distributions to be right skewed distributed as opposed to normal distribution. The difference between these two distributions is that normal is symmetric and right skewed holds a majority of its data on the left side.
3. The higher off the ground you are the greater the wind speed distribution. The image below is of the wind power along the coasts of Michigan at 50m height and can somewhat support my hypothesis. In the image below the wind speed is collected at a height of 50m and lowest category is from 0-5.6m/s which besides the inland of the Upper Peninsula and Lower Peninsula there is nothing that is in this category. As opposed to the Weibull distribution model on the article attached to the assignment, it shows the wind speed distribution at 10m above the surface and it is below a 2% chance that the speeds exceed 4m/s. Granted the Weibull distribution I am using to compare this to does not tell me the location of where the sample takes place or the season, but it does give me a very rough comparison model to the image I have below.
4. The season I am selecting is summer, and that includes the months of April-September. The estimate of the daily power available is around 15-22% with wind speeds averaging around 5.0-5.7m/s in the summer when collecting data at a height of 100m. The peak power available is typically in the month of April and may range from 7-9.6m/s resulting in wind power available up to 50%. The estimate of variability on a daily basis is somewhere around 25%. Although the peak is at 50% there is a very short window for this while the majority stays around 25%