Windmills are an amazing source of renewable energy that have very few negative impacts on the air in the surrounding areas. This is a resource that should be utilized to help struggling areas increase their air quality and quality of life.
Audio TranscriptAuto-generated
Hello everyone today.
I'm going to be speaking about the impacts of windmill farms on
air quality and how investing in research on these impacts can benefit the
wind farm industry
To start off, we're going to talk about windmills in Kansas.
Kansas has about 3500 wind turbines in the state making wind energy the largest
energy production message in the state with about 45% of all energy production.
So why are we focusing on windmills?
Wouldn't those produce little to no emissions when producing energy?
And they are a great energy source that doesn't negatively impact air quality.
In addition to side effects
of when most are far less than those of traditional nonrenewable energy methods
For this study,
Ford County is going to be our main target to compare other counties to.
This is due to the fact that Ford County contains the
largest density of windmills in the county with over 300 turbines.
Next moving into the air quality index.
This is developed by the E. P. A.
And uses a variety of airplane factors to
calculate the overall quality of a given area.
The index ranges from six different categories.
Everything will be looking at in Kansas is in that good
category but ranges a lot within that 0 to 50.
So my proposal is that we are going to look at this A. Q. I.
In correlation with where our windmill sites
and Candace are
and find the need for more wind farms in Kansas and other states.
So the data that we're going to use for this comes from a few different sources.
The first data set is the Kansas County data from the US Geological Survey for 2021.
Um These maps are later going to be used with the A. Q. I.
An association to each county.
The windmill data comes from the United States wind turbine database.
This is derived from the U. S.
Geological Survey and American Clean Power Association.
It contains data from 2014 in 2000 and 17.
Therefore the time and for this will be 2014 to 2021.
And then the A. Q. I. Is collected by the E. P. A.
And sorted by county and we'll do this for 2014 to 2021.
In addition looking forward into this analysis,
we only have data for 10 of the counties of Kansas.
So the data is going to be interpolated so we can
see a full view of Kansas and where it lies on that scale for the future data analysis.
We may want to collect more data so we can have a more accurate result.
So how are we going to do this?
The tools that we're going to use to do this is we're going to prepare the data
um fix our environment settings and then turn
this into two rosters by interpolate the data.
So the data preparation we are going to
get our processing extent down to this Kansas set
as our data site gave us a little more than the boundary that we're looking to look at
next. We're gonna combine those AQ I tables with that Kansas county data set
and we are going to use that to interpolate to the rest of the state.
So we have over on the left we have the few counties that do have a Q. I. S.
For and over on the right is the interpolated data
set based on the median AQ I for that county.
Lastly, we're going to reclassify the results
so we can get it down to something that
is a little bit more manageable for our analysis.
So this is
A rest or reclassified into five groups
Of intervals of 10 and that's over that.
That's over that group of 50.
So lastly, why do we care about this?
So there's lots of benefits by by doing this
by knowing the long term effects of wind energy,
there's more potential to push to implement it into
our energy producing the world With this information,
we can open up the market to areas that haven't considered
wind energy before or convince people to finally make that investment.
If they were
This can also be a solution to help get areas
back on track when it comes to air quality,
knowing this,
knowing that the long term effects of energy source can become
the solution to using sources that drive their air quality down.
It will be a way to reduce emissions and replace them with a option for the future.