Using the Public Utility Data Liberation(PUDL) project's SQLite Database to analyze how the US's power sector has evolved over time both in terms of quantity of power plants and percentage of coal generation over total generation by county from 2009 to 2018.
The databse includes publicly available data from:
- EIA Form 860 (2009-2018)
- EIA Form 923 (2009-2018)
- EPA’s Continuous Emissions Monitoring System (1995-2018)
- FERC Form 1 (1994-2018)
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Code
PUDL_wrangling.ipynb
: extraction, cleaning, and wrangling of cost and generation dataPP_PUDL.R
: mapping
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Output
- CSVs: dataframes produced from the PUDL SQLite Database
- Figures: yearly maps
Plants by Primary Fuel: 2009 to 2018
We see a clear increase in number of plants and more specifically in solar, wind, and gas plants.
Share of Coal Generation by County: 2009 to 2018
We see that:
- more counties have power plants
- power production has become less coal dependent
Use an instrumental variable regression to analyze the effect of changing fuel prices on the percentage of coal generation (dependance on coal for energy production) in the US.