83 datasets found
  1. A

    Data from: Buildings Energy Data Book

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +1more
    html, pdf, xls
    Updated Jul 30, 2019
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    United States (2019). Buildings Energy Data Book [Dataset]. https://data.amerigeoss.org/es_AR/dataset/buildings-energy-data-book-6d4d2
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    pdf, html, xlsAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Building Energy Data Book (2011) is a compendium of data from a variety of data sets and includes statistics on residential and commercial building energy consumption. Data tables contain statistics related to construction, building technologies, energy consumption, and building characteristics. The Building Technologies Office (BTO) within the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy developed this resource to provide a comprehensive set of buildings- and energy-related data.

    The Data Book has not been updated since 2011.

    The data sets comprising the Data Book are now publicly available in user-friendly formats and you can use them to find data relevant to your questions. Please find below a list of Energy Information Administration (EIA) data sets that BTO consults:

    Questions about the above resources can be directed to the relevant EIA subject matter expert.

  2. o

    TREND: Energy Information Administration. State Energy Data System:...

    • explore.openaire.eu
    Updated Jan 1, 2017
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    Energy Information Administration (2017). TREND: Energy Information Administration. State Energy Data System: Electricity Consumption, Prices, and Expenditures | Indicator: Electricity price in the commercial sector., 1970 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 004-012-012 [Dataset]. http://doi.org/10.6068/dp15fbbdbee0e25
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    Dataset updated
    Jan 1, 2017
    Authors
    Energy Information Administration
    Description

    Energy Information Administration. State Energy Data System: Electricity Consumption, Prices, and Expenditures | Indicator: Electricity price in the commercial sector., 1970 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 004-012-012 Dataset: Reports estimates of electricity consumption, prices, and expenditures for the United States as a whole and for individual states and Washington, DC, as available. The State Energy Data System (SEDS) is maintained and operated by the United States Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy production, consumption, prices, and expenditures by state that are defined as consistently as possible over time and across sectors. SEDS is used primarily to provide (1) state energy production, consumption, price, and expenditure estimates to Members of Congress, federal and state agencies, and the general public; and (2) the historical time series necessary to develop EIA’s energy models. Efforts are made to ensure that the sums of the state estimates equal the national totals as closely as possible for each energy type and end-use sector as published in other EIA publications. SEDS state energy consumption estimates are generally comparable to the statistics in EIA's Annual Energy Review and Monthly Energy Review consumption tables. Although SEDS incorporates the most consistent series and procedures possible, users of this report should recognize the limitations of the data that are due to changing and inadequate data sources. See the technical documentation for information on data inconsistencies. http://www.eia.gov/state/seds/seds-data-complete.cfm Category: Energy Resources and Industries Subject: Prices, Energy Expenditures, Electricity, Energy Consumption Source: Energy Information Administration The Energy Information Administration (EIA), created by Congress in 1977, is an independent statistical and analytical agency within the United States Department of Energy. Its mission is to provide policy-independent data, forecasts, and analyses to promote sound policy making, efficient markets, and public understanding regarding energy and its interaction with the economy and the environment. http://www.eia.doe.gov/

  3. n

    Annual Energy Review Database (AERDB) from the DOE Energy Information...

    • cmr.earthdata.nasa.gov
    html
    Updated Apr 21, 2017
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    (2017). Annual Energy Review Database (AERDB) from the DOE Energy Information Administration (EIA) [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214611532-SCIOPS
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    htmlAvailable download formats
    Dataset updated
    Apr 21, 2017
    Time period covered
    Jan 1, 1949 - Present
    Area covered
    Description

    The "Annual Energy Review Database" (AERDB) presents the Energy Information Administration's longterm historical annual energy statistics in machine-readable form. The AERDB is produced using the same database system that produces the data published in the "Annual Energy Review" (AER). Focused on domestic energy statistics for the United States, the AERDB provides statistics for every year since 1949. Topical coverage includes the full range of major energy activities, such as consumption, production, trade, stocks, and prices for all major energy commodities, includeing fossil fuel and electricity. The Annual Energy review also includes an historical perspective on energy use in the U.S. since 1635 ("http://www.eia.doe.gov/emeu/aer/eh/frame.html")

    The AER data is available online at: "http://www.eia.doe.gov/emeu/aer/contents.html"

  4. d

    Estimates of Annual Fossil-Fuel CO2 Emitted for Each State in the U.S.A. and...

    • search.dataone.org
    • knb.ecoinformatics.org
    • +1more
    Updated Apr 7, 2023
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    T. J. Blasing; G. Marland; C. T. Broniak (2023). Estimates of Annual Fossil-Fuel CO2 Emitted for Each State in the U.S.A. and the District of Columbia for Each Year from 1960 through 2001 [Dataset]. http://doi.org/10.3334/CDIAC/00003
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    Dataset updated
    Apr 7, 2023
    Dataset provided by
    ESS-DIVE
    Authors
    T. J. Blasing; G. Marland; C. T. Broniak
    Time period covered
    Jan 1, 1960 - Dec 31, 2001
    Area covered
    United States
    Description

    Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). Results are expressed in terms of heat energy obtained from each fuel type. These energy values were obtained from the State Energy Data Report (EIA, 2003a), ( http://www.eia.doe.gov/emeu/states/sep_use/total/csv/use_csv.html), and served as our basic input. The energy data are also available in hard copy from the Energy Information Administration, U.S. Department of Energy, as the State Energy Data Report (EIA, 2003a,b). For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/trends/emis_mon/stateemis/emis_state.html

  5. o

    Trend 1980 - 2010. Energy Information Administration. International Energy...

    • explore.openaire.eu
    Updated Jan 1, 2015
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    Energy Information Administration (2015). Trend 1980 - 2010. Energy Information Administration. International Energy Statistics: Electricity Consumption | Indicator: Total Electricity Net Consumption (Billion Kilowatthours), 1980-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-014-026. [Dataset]. http://doi.org/10.6068/dp14ba750d22141
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    Dataset updated
    Jan 1, 2015
    Authors
    Energy Information Administration
    Description

    Energy Information Administration (2015). International Energy Statistics: Electricity Consumption | Indicator: Total Electricity Net Consumption (Billion Kilowatthours), 1980-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 004-014-026. Dataset: Provides statistics on electricity consumption by country, as available. For all countries except the United States, total electric power consumption = total net electricity generation + electricity imports - electricity exports – electricity transmission and distribution losses. For the United States, data are drawn from the Energy Information Administration Annual Energy Review, Table 1, which provides a total of electricity retail sales to ultimate customers by electric utilities and, beginning in 1996, other energy service providers; and direct use, ie, use of electricity that is self-generated, produced by either the same entity that consumes the power or an affiliate, and used in direct support of a service or industrial process located within the same facility or group of facilities that house the generating equipment. Data are reported as net consumption, which excludes the energy consumed by the generating units, as opposed to gross consumption. The dataset provides data for 220 countries, as available, on energy-related metrics, including total and crude oil production, oil consumption, natural gas production and consumption, coal production and consumption, electricity generation and consumption, primary energy, energy intensity, CO2 emissions and imports and exports for all fuels. Data are sourced from Energy Information Administration research, as well as from national and international agencies, listed at http://www.eia.gov/cfapps/ipdbproject/docs/sources.cfm. Category: Energy Resources and Industries, International Relations and Trade Source: Energy Information Administration The Energy Information Administration (EIA), created by Congress in 1977, is an independent statistical and analytical agency within the United States Department of Energy. Its mission is to provide policy-independent data, forecasts, and analyses to promote sound policy making, efficient markets, and public understanding regarding energy and its interaction with the economy and the environment. http://www.eia.doe.gov/ Subject: Energy Consumption, Electricity

  6. New York CO2 emissions from coal

    • knoema.de
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). New York CO2 emissions from coal [Dataset]. https://knoema.de/atlas/Vereinigte-Staaten-von-Amerika/New-York/CO2-emissions-from-coal
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    json, xls, sdmx, csvAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2018
    Area covered
    United States, New York
    Variables measured
    Carbon emissions from coal
    Description

    1,6 (million metric tones of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  7. o

    Trend 1980 - 2010. Energy Information Administration. International Energy...

    • explore.openaire.eu
    Updated Jan 1, 2015
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    Energy Information Administration (2015). Trend 1980 - 2010. Energy Information Administration. International Energy Statistics: Electricity Consumption | Country: Faroe Islands | Indicator: Total Electricity Net Consumption (Billion Kilowatthours), 1980-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-014-026. [Dataset]. http://doi.org/10.6068/dp14bad46283661
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    Dataset updated
    Jan 1, 2015
    Authors
    Energy Information Administration
    Area covered
    Faroe Islands
    Description

    Energy Information Administration (2015). International Energy Statistics: Electricity Consumption | Country: Faroe Islands | Indicator: Total Electricity Net Consumption (Billion Kilowatthours), 1980-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 004-014-026. Dataset: Provides statistics on electricity consumption by country, as available. For all countries except the United States, total electric power consumption = total net electricity generation + electricity imports - electricity exports – electricity transmission and distribution losses. For the United States, data are drawn from the Energy Information Administration Annual Energy Review, Table 1, which provides a total of electricity retail sales to ultimate customers by electric utilities and, beginning in 1996, other energy service providers; and direct use, ie, use of electricity that is self-generated, produced by either the same entity that consumes the power or an affiliate, and used in direct support of a service or industrial process located within the same facility or group of facilities that house the generating equipment. Data are reported as net consumption, which excludes the energy consumed by the generating units, as opposed to gross consumption. The dataset provides data for 220 countries, as available, on energy-related metrics, including total and crude oil production, oil consumption, natural gas production and consumption, coal production and consumption, electricity generation and consumption, primary energy, energy intensity, CO2 emissions and imports and exports for all fuels. Data are sourced from Energy Information Administration research, as well as from national and international agencies, listed at http://www.eia.gov/cfapps/ipdbproject/docs/sources.cfm. Category: Energy Resources and Industries, International Relations and Trade Source: Energy Information Administration The Energy Information Administration (EIA), created by Congress in 1977, is an independent statistical and analytical agency within the United States Department of Energy. Its mission is to provide policy-independent data, forecasts, and analyses to promote sound policy making, efficient markets, and public understanding regarding energy and its interaction with the economy and the environment. http://www.eia.doe.gov/ Subject: Energy Consumption, Electricity

  8. W

    North Carolina CO2 emissions

    • knoema.de
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). North Carolina CO2 emissions [Dataset]. https://knoema.de/atlas/Vereinigte-Staaten-von-Amerika/North-Carolina/CO2-emissions
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    sdmx, json, csv, xlsAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoema
    Time period covered
    2007 - 2018
    Area covered
    North Carolina, United States
    Variables measured
    Annual fossil-fuel CO2 emitted
    Description

    119,3 (million metric tones of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  9. A

    Ohio CO2 emissions from coal

    • knoema.es
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). Ohio CO2 emissions from coal [Dataset]. https://knoema.es/atlas/Estados-Unidos-de-Am%C3%A9rica/Ohio/CO2-emissions-from-coal
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    sdmx, xls, json, csvAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoema
    Time period covered
    2007 - 2018
    Area covered
    Ohio
    Variables measured
    Carbon emissions from coal
    Description

    68,3 (million metric tones of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  10. Tennessee CO2 emissions from oil

    • knoema.com
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). Tennessee CO2 emissions from oil [Dataset]. https://knoema.com/atlas/United-States-of-America/Tennessee/CO2-emissions-from-oil
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    xls, csv, sdmx, jsonAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2018
    Area covered
    United States of America, Tennessee
    Variables measured
    Carbon emissions from oil
    Description

    CO2 emissions from oil of Tennessee went up by 1.34% from 49.4 million metric tones of carbon in 2017 to 50.0 million metric tones of carbon in 2018. Since the 3.48% downward trend in 2012, CO2 emissions from oil jumped by 11.66% in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  11. A

    New Mexico CO2 emissions from coal

    • knoema.es
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). New Mexico CO2 emissions from coal [Dataset]. https://knoema.es/atlas/Estados-Unidos-de-Am%C3%A9rica/New-Mexico/CO2-emissions-from-coal
    Explore at:
    csv, xls, sdmx, jsonAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoema
    Time period covered
    2007 - 2018
    Area covered
    New Mexico, United States
    Variables measured
    Carbon emissions from coal
    Description

    13,1 (million metric tones of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  12. A

    Vermont CO2 emissions

    • knoema.es
    • ar.knoema.com
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). Vermont CO2 emissions [Dataset]. https://knoema.es/atlas/Estados-Unidos-de-Am%C3%A9rica/Vermont/CO2-emissions
    Explore at:
    json, sdmx, xls, csvAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoema
    Time period covered
    2007 - 2018
    Area covered
    Vermont
    Variables measured
    Annual fossil-fuel CO2 emitted
    Description

    5,9 (million metric tones of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  13. A

    Alabama CO2 emissions from coal

    • knoema.es
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). Alabama CO2 emissions from coal [Dataset]. https://knoema.es/atlas/Estados-Unidos-de-Am%C3%A9rica/Alabama/CO2-emissions-from-coal
    Explore at:
    csv, xls, sdmx, jsonAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoema
    Time period covered
    2007 - 2018
    Area covered
    Alabama
    Variables measured
    Carbon emissions from coal
    Description

    35,9 (million metric tones of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  14. d

    Estimates of Monthly CO2 Emissions and Associated 13C/12C Values from...

    • search.dataone.org
    Updated Nov 17, 2014
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    Blasing, T.J.; Broniak, Christine; Marland, Gregg (2014). Estimates of Monthly CO2 Emissions and Associated 13C/12C Values from Fossil-Fuel Consumption in the U.S.A. [Dataset]. https://search.dataone.org/view/Estimates_of_Monthly_CO2_Emissions_and_Associated_13C_12C_Values_from_Fossil-Fuel_Consumption_in_the_U.S.A..xml
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    Dataset updated
    Nov 17, 2014
    Dataset provided by
    Regional and Global Biogeochemical Dynamics Data (RGD)
    Authors
    Blasing, T.J.; Broniak, Christine; Marland, Gregg
    Time period covered
    Jan 1, 1981 - Dec 31, 2002
    Area covered
    Description

    Estimates of monthly CO2 emissions and associated 13C/12C values from fossil-fuel consumption in the United States are available for the years 1981-2002. These estimates were derived from values of fuel consumed, multiplied by their respective thermal conversion factors, and expressed in units of heat energy derived from the fuel. [Thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review (DOE/EIA, monthly).] These energy values were then multiplied by their respective carbon dioxide emission factors and expressed in units of the mass of carbon emitted per unit of energy liberated by the oxidation of the carbon in the fuel. [Carbon dioxide emission factors are given in Table A of EPA (2002).] Product specific emissions factors were used for the myriad of petroleum products. Finally, the results were multiplied by a factor (EPA, 2002, Table A-14, except for natural gas) to account for carbon not oxidized during combustion but released as soot, ash, or long-lived hydrocarbons.

    Several petroleum products have applications not related to energy production and are not oxidized immediately when the products are consumed; these include asphalt, waxes, petroleum coke, special naphtha, etc. In some cases (e.g., waxes) virtually no carbon is oxidized during use; in other cases (e.g., petroleum coke) a substantial fraction (e.g., estimated 50%) of the carbon is oxidized during use; and for some products (e.g. special naphtha), virtually all the carbon is oxidized within the time frame of interest. The oxidized fractions used to estimate the amounts of carbon dioxide released during consumption are given in Annex B of EPA 2002 (Table B-1).

    Although C emissions occur largely in the form of CO2, results are presented here in terms of the mass of C only. (To convert to mass of CO2, multiply the mass of C by 44/12). The authors assume that any C emitted to the atmosphere as CO will be soon oxidized to CO2.

    13C values for each month were also estimated. Finally, differences from other CDIAC CO2 emissions estimates (e.g., Marland et al., 2002) are explained in the documentation.

    These estimates show an annual cycle of CO2 emissions, peaking during the winter months and reflecting natural gas consumption, and a semi-annual cycle of lesser amplitude, peaking in summer and winter and reflecting coal consumption, comprise the dominant features of the annual pattern. There were relatively constant emissions until 1987, followed by an increase from 1987-1989, a decrease in 1990-1991, and record highs during the late 1990s; emissions have declined somewhat since 2000.

  15. Arizona CO2 emissions from coal

    • knoema.es
    • knoema.de
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). Arizona CO2 emissions from coal [Dataset]. https://knoema.es/atlas/Estados-Unidos-de-Am%C3%A9rica/Arizona/CO2-emissions-from-coal
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    json, csv, sdmx, xlsAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2018
    Area covered
    Arizona, Estados Unidos de América
    Variables measured
    Carbon emissions from coal
    Description

    31,7 (million metric tones of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  16. Delaware CO2 emissions from oil

    • knoema.de
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). Delaware CO2 emissions from oil [Dataset]. https://knoema.de/atlas/Vereinigte-Staaten-von-Amerika/Delaware/CO2-emissions-from-oil
    Explore at:
    sdmx, xls, csv, jsonAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2018
    Area covered
    Delaware
    Variables measured
    Carbon emissions from oil
    Description

    6,9 (million metric tones of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  17. Louisiana CO2 emissions from oil

    • knoema.es
    • knoema.de
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). Louisiana CO2 emissions from oil [Dataset]. https://knoema.es/atlas/Estados-Unidos-de-Am%C3%A9rica/Louisiana/CO2-emissions-from-oil
    Explore at:
    sdmx, json, xls, csvAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2018
    Area covered
    United States
    Variables measured
    Carbon emissions from oil
    Description

    100,5 (million metric tones of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  18. A

    California CO2 emissions from gas

    • knoema.es
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). California CO2 emissions from gas [Dataset]. https://knoema.es/atlas/Estados-Unidos-de-Am%C3%A9rica/California/CO2-emissions-from-gas
    Explore at:
    sdmx, xls, csv, jsonAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoema
    Time period covered
    2007 - 2018
    Area covered
    California
    Variables measured
    Carbon emissions from gas
    Description

    117,1 (teragrams of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  19. Virginia CO2 emissions

    • knoema.de
    csv, json, sdmx, xls
    Updated Apr 1, 2025
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    Knoema (2025). Virginia CO2 emissions [Dataset]. https://knoema.de/atlas/Vereinigte-Staaten-von-Amerika/Virginia/CO2-emissions
    Explore at:
    sdmx, json, csv, xlsAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2018
    Area covered
    United States
    Variables measured
    Annual fossil-fuel CO2 emitted
    Description

    103,1 (million metric tones of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

  20. Minnesota CO2 emissions from gas

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Feb 7, 2023
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    Knoema (2023). Minnesota CO2 emissions from gas [Dataset]. https://hi.knoema.com/atlas/%C3%89tats-Unis-dAm%C3%A9rique/Minnesota/CO2-emissions-from-gas
    Explore at:
    xls, csv, sdmx, jsonAvailable download formats
    Dataset updated
    Feb 7, 2023
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2018
    Area covered
    Minnesota
    Variables measured
    Carbon emissions from gas
    Description

    27.3 (teragrams of carbon) in 2018. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 1012 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 1015 Btu, or ""quad""), and are highest for coal and lowest for natural gas. Results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

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United States (2019). Buildings Energy Data Book [Dataset]. https://data.amerigeoss.org/es_AR/dataset/buildings-energy-data-book-6d4d2

Data from: Buildings Energy Data Book

Related Article
Explore at:
pdf, html, xlsAvailable download formats
Dataset updated
Jul 30, 2019
Dataset provided by
United States
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

The Building Energy Data Book (2011) is a compendium of data from a variety of data sets and includes statistics on residential and commercial building energy consumption. Data tables contain statistics related to construction, building technologies, energy consumption, and building characteristics. The Building Technologies Office (BTO) within the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy developed this resource to provide a comprehensive set of buildings- and energy-related data.

The Data Book has not been updated since 2011.

The data sets comprising the Data Book are now publicly available in user-friendly formats and you can use them to find data relevant to your questions. Please find below a list of Energy Information Administration (EIA) data sets that BTO consults:

Questions about the above resources can be directed to the relevant EIA subject matter expert.

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