How has the mix of electricity generation sources changed in the US over time to become more sustainable?
The first and primary data source which I plan to utilize for this project will be the US Energy Information Administration (EIA). The EIA is a credible source as it is a government agency and is federally funded ($125 million in 2019). All data collected by the EIA is obtained through the composition of data from local electricity providers through surveys run by local and state governments. Within the EIA are numerous data sets containing detailed state data regarding the following topics:
The data given within the file titled, “Net Generation by State by Type of Producer by Energy Source” (https://www.eia.gov/electricity/data/state/) is recorded in the form of an Excel file and is the original data. This data set contains net electricity generation information per generation source by state. When analyzing this data, my primary intent is to visually represent the net change in electricity production, likely in the form of a line plot in order to show a decrease in production from less sustainable energy sourcing methods (demonstrated below).
Furthermore, the above data set title, “Fossil Fuel Consumption for Electricity Generation by Year, Industry Type and State” (https://www.eia.gov/electricity/data/state/), contains net electricity consumption data per generation source by state and is represented using an Excel file in its original form. Similarly to the electricity generation data set, my intent is to represent the net change in electricity consumption in the form of some line or lollipop plot in order to show a change in consumption over time.
In addition, the data set, “Financial Data on Publicly Owned Electric Utilities with Generation Facilities by State” (https://www.eia.gov/electricity/data/state/), contains state expenditure data between the years 2001 to 2003, showing the funding that public generating utilities have received from state governments. In addition to investment and operating expenses per state, this data set contains information pertaining to operating revenue, maintenance, and depreciation. All information within this excel file is original and has been obtained from the EIA.
Despite the scope of this assignment, further research beyond this project suggests that a global perspective be assumed; for instance, as opposed to focusing on energy sourcing developement within the United States, global projects may be considered.
One data source which may be considered in the future is the US Department of Energy (DOE). The DOE is a credible source as it is a government agency that partners with various credible laboratories who are responsible in assisting with data collection and analysis. For instance, several partner companies include Sandia National Laboratories, Pacific Northwest, and Oak Ridge National Laboratory.
This data set titled, “Global Energy Storage Database Projects” (https://www.sandia.gov/ess-ssl/global-energy-storage-database-home/), contains global energy storage projects and affiliated data, such as a description of the project, funding, fund providers, etc. Within this data set, I ultimately would select the “state” and “country” columns, in addition to the “funding amount” column. The purpose for the usage of this data within future projects might be to support the argument being made from the previous financial data set from the EIA. Likewise, this data set would take a more global perspective and compare how the United States energy development compares to those of other countries.
To give a preliminary view of the message being portrayed throughout this study, the first plot below demonstrates the inverse relationship between electricity generated due to coal versus wind within the United States from 1990 to 2018. Here, one may observe that development for wind generation technology was generally non-existent until the year 2006. Until then, with a growing population and higher demand for electricity, coal production increased as it was the primary electricity sourcing method. However, in 2006, energy sourcing methods shifted and technological advancement for wind increased (which is seen by the vertical dashed line in the plot below).
The purpose of this graph is not only to highlight the inverse relationship between coal and wind production, but to set up this study to show that 2006 was the year when changes in electricity sourcing methods occurred. These alterations occurred in part due to government intervention. One report from the US Department of Energy confirms that in 2007, the US government, in partnership with the wind energy industry, has elected to increase funding to further wind technology development.
This section of the report aims to provide an in-depth view of how the mix of energy generation sources within the United States has evolved between 1990 and 2018. This is done by focusing on the inverse relationship between coal and natural gas, in addition to the consistent rise in production due to wind.
Similarly to the message being portrayed in the plot from the previous section, further insight is illustrated in the plot below; for instance, a mix of all electricity sourcing methods are represented from 1990 to 2018.
According to a report published from the Environmental protection Agency (EPA), the term, “Green Power” is defined as follows:
“Green Power is also defined as renewable electricity that goes above and beyond what is otherwise required by mandate or requirement – green power is also voluntary or surplus to regulation. Renewable energy is supplied by natural resources that replenish themselves over short periods of time without being depleted. Green power is a subset of renewable energy and represents those renewable energy resources that provide the highest environmental benefit, such as: Solar, Wind, Geothermal (the earth’s heat), [and] Biomass (some forms of plant and waste material)…”
In summation, clean energy is confirmed to be any renewable electricity generation source that naturally replenishes themselves over some period of time without becoming diminished. Specifically, some examples of “green” energy sourcing methods include solar, wind, geothermal, and biomass. While natural gas does not fit under the definition given above by the EPA, further research suggests that alternate (non-traditional) forms of natural gas are cleaner than coal, yet they do still produce some amount of carbon emissions.
Therefore, as the plot above depicts the change in mix of all electricity generation sources from 1990 to 2018, it is evident that coal began a steep decline in roughly 2006, while other previously non-existent methods such as wind, solar, photovoltaic, nuclear, and natural gas made slight to great amounts of improvement. Something else worth taking note of is that when focusing on 2008, all energy production, regardless of source, declined due to the volatile financial markets. It was not until the markets recovered when production really made significant progress.
Focusing in again on wind generation, the map of the United States below represents electricity generation due to wind in 1990. With California acting as the industry leader at the time, only seven states invested in wind electricity production.