United States US: Electricity Production From Oil Sources: % of Total data was reported at 0.904 % in 2015. This records a decrease from the previous number of 0.923 % for 2014. United States US: Electricity Production From Oil Sources: % of Total data is updated yearly, averaging 4.834 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 17.167 % in 1977 and a record low of 0.774 % in 2012. United States US: Electricity Production From Oil Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

United States US: Electricity Production From Coal Sources: % of Total data was reported at 34.233 % in 2015. This records a decrease from the previous number of 39.651 % for 2014. United States US: Electricity Production From Coal Sources: % of Total data is updated yearly, averaging 51.846 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 57.679 % in 1988 and a record low of 34.233 % in 2015. United States US: Electricity Production From Coal Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

In the United States, electricity derived from coal has decreased over the past two decades, with the annual output declining by almost 65 percent between 2010 and 2024. In contrast, there has been a rise in natural gas and renewable sources within the energy mix. How is electricity generated in the U.S.? Most electricity in the U.S. is generated from steam turbines, which can be powered by fossil and nuclear fuels, biomass, geothermal, and solar thermal energy. Other systems such as gas turbines, hydro turbines, wind turbines, and solar photovoltaics are also major generation technologies. Electric utilities in the U.S. generated more than 2,241 terawatt hours in 2024, accounting for just over half of the power output in the country that year. Growing renewable capacity Renewable sources have become more prominent in the U.S. over the past years, particularly wind, hydro, and solar energy. The former has overtaken conventional hydropower, becoming the leading renewable energy source in the U.S. since 2019. Wind and solar power have also accounted for the largest share of electricity capacity additions in the country in recent years.

This file ‘all_areas_dataframe_renewables_and_non_renewables.xlsx’ is the result of the notebook https://www.kaggle.com/code/fords001/renewable-and-non-renewable-electricity-resources . It contains information from the years 2000 to 2023 and includes 18 sheets: for the percentage of electricity generation and for electricity generation in terawatt-hours (TWh) for each of the following world regions: Africa, Europe, Asia, North America, Latin America and the Caribbean, Oceania, as well as for the entire world. Each region has 11 columns representing different sources of electricity generation: Non-Renewables: Coal, Gas, Nuclear, Other Fossil (4 columns), Renewables: Bioenergy, Hydro, Solar, Wind, Other Renewables (5 columns). For each world region, we have two additional columns: Total Non-Renewables (1 column) and Total Renewables (1 column), which will be the sum of the related electricity generation columns .

List of dataframes : 'All_Areas_Common_Percent ' - Percentage dataframe for all areas 'All_Areas_Common_TWh' - Terawatt-hours dataframe for all areas 'All_Areas_Percent_Ren_Non_R' - Percentage df for all areas for 2 columns(Non-Renewables , Renewable) 'All_Areas_TWh_Ren_and_Non_R' - TWh df for all areas for 2 columns(Non-Renewables , Renewable) 'World_DF_Percent' - World dataframe Percentage 'World_DF_TWh' - World dataframe Terawatt-hours 'Africa_DF_Percent' - Africa dataframe Percentage 'Africa_DF_TWh' - Africa dataframe Terawatt-hours 'Europe_DF_Percent' - Europe dataframe Percentage 'Europe_DF_TWh' - Europe dataframe Terawatt-hours 'Asia_DF_Percent' - Asia dataframe Percentage 'Asia_DF_TWh' - Asia dataframe Terawatt-hours 'North_America_DF_Percent' - North America dataframe Percentage 'North_America_DF_TWh' - North America dataframe Terawatt-hours 'Latin_America_and_C_DF_Percent' - World dataframe Percentage 'Latin_America_and_C_DF_Twh' - World dataframe Terawatt-hours 'Oceania_DF_Percent' - Oceania dataframe Percentage 'Oceania_DF_TWh' - Oceania dataframe Terawatt-hours

In this data analysis I used the dataset ‘yearly_full_release_long_format.csv’, from https://ember-energy.org/data/yearly-electricity-data/ .It has a license (Creative Commons Attribution Licence (CC-BY-4.0). This license means. Share — copy and redistribute the material in any medium or format for any purpose, even commercially. Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. These are the links to the license description . https://ember-energy.org/creative-commons/ and https://creativecommons.org/licenses/by/4.0/

United States US: Electricity Production From Hydroelectric Sources: % of Total data was reported at 5.842 % in 2015. This records a decrease from the previous number of 6.054 % for 2014. United States US: Electricity Production From Hydroelectric Sources: % of Total data is updated yearly, averaging 9.342 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 18.881 % in 1962 and a record low of 4.904 % in 2001. United States US: Electricity Production From Hydroelectric Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

United States US: Electricity Production From Natural Gas Sources: % of Total data was reported at 31.942 % in 2015. This records an increase from the previous number of 26.888 % for 2014. United States US: Electricity Production From Natural Gas Sources: % of Total data is updated yearly, averaging 17.344 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 31.942 % in 2015 and a record low of 9.464 % in 1988. United States US: Electricity Production From Natural Gas Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

United States US: Electricity Production From Nuclear Sources: % of Total data was reported at 19.346 % in 2015. This records an increase from the previous number of 19.230 % for 2014. United States US: Electricity Production From Nuclear Sources: % of Total data is updated yearly, averaging 17.851 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 20.647 % in 2001 and a record low of 0.069 % in 1960. United States US: Electricity Production From Nuclear Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

description: ### A2e Atmosphere to Electrons (A2e) is a new, multi-year, multi-stakeholder U.S. Department of Energy (DOE) research and development initiative tasked with improving wind plant performance and mitigating risk and uncertainty to achieve substantial reduction in the cost of wind energy production. The A2e strategic vision will enable a new generation of wind plant technology, in which smart wind plants are designed to achieve optimized performance stemming from more complete knowledge of the inflow wind resource and complex flow through the wind plant. Read more ... ### Project: Leading-edge Erosion Study (LEES) Project #### Airfoil Performance Degradation due to Roughness and Leading-edge Erosion Wind farms often underperform predicted power output by 10 to 30 percent relative to manufacturer predictions. A potential aerodynamic explanation is that blade roughness caused by insect impingement and leading-edge erosion decreases lift and drag as opposed to clean blades. These effects are difficult to test in the field because aerodynamic performance cannot be measured directly and can be affected by many factors that cannot be controlled in field experiments. This project provides aerodynamic performance data using wind tunnel measurements of representative inboard and outboard blade sections contaminated with various types and levels of roughness and leading-edge erosion. Results include aerodynamic load coefficients and measurements of laminar-to-turbulent transition location as functions of Reynolds number and angle of attack for various roughness configurations. Read more ... ### Dataset Overview Airfoil Performance Degradation due to Roughness and Leading-edge Erosion. The zip file contains analysis, charts, and photos. Read more ... --- Data access is enabled only after registering with A2e.; abstract: ### A2e Atmosphere to Electrons (A2e) is a new, multi-year, multi-stakeholder U.S. Department of Energy (DOE) research and development initiative tasked with improving wind plant performance and mitigating risk and uncertainty to achieve substantial reduction in the cost of wind energy production. The A2e strategic vision will enable a new generation of wind plant technology, in which smart wind plants are designed to achieve optimized performance stemming from more complete knowledge of the inflow wind resource and complex flow through the wind plant. Read more ... ### Project: Leading-edge Erosion Study (LEES) Project #### Airfoil Performance Degradation due to Roughness and Leading-edge Erosion Wind farms often underperform predicted power output by 10 to 30 percent relative to manufacturer predictions. A potential aerodynamic explanation is that blade roughness caused by insect impingement and leading-edge erosion decreases lift and drag as opposed to clean blades. These effects are difficult to test in the field because aerodynamic performance cannot be measured directly and can be affected by many factors that cannot be controlled in field experiments. This project provides aerodynamic performance data using wind tunnel measurements of representative inboard and outboard blade sections contaminated with various types and levels of roughness and leading-edge erosion. Results include aerodynamic load coefficients and measurements of laminar-to-turbulent transition location as functions of Reynolds number and angle of attack for various roughness configurations. Read more ... ### Dataset Overview Airfoil Performance Degradation due to Roughness and Leading-edge Erosion. The zip file contains analysis, charts, and photos. Read more ... --- Data access is enabled only after registering with A2e.