Inspiration
It is interesting to see how gas turbine technologies would affect the world's atmosphere, and how it could be improved to achieve energy-sustainable strategies.
What it does
The visualization provides the overall picture of gas turbine technologies and emissions. It identifies important information that could lead to further analysis or hypothesize the problem.
How we built it
This project tool is mainly python's visualization libraries like seaborn and matplotlib.
Accomplishments that we're proud of
I found that the plat that has the highest CO2 emission is in Europe. The CO2 is increasing exponentially with Power output.
What we learned
In this project, I learned to aggregate many datasets and try using different visualization libraries along the way.
What's next for Gas Turbine Data Visualization Challenge
This project is an initial step toward the energy sustainable policy of gas turbine plants. There are many more factors that can be analyzed such as weather or the plant's maintenance facilities.
Built With
- pyplot
- python
- seaborn
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