Anthropogenic CH4 emissions for Europe based on EDGARv4.3 (Janssens-Maenhout et al., 2019, https://doi.org/10.5194/essd-11-959-2019, fuel type and category specific emissions were provided by Greet Janssens-Maenhout, EU-JRC), Energy consumption statistics 2024 provided by the Energy Institute (https://www.energyinst.org/_data/assets/excel_doc/0020/1540550/EI-Stats-Review-All-Data.xlsx), temporal variations based on MACC-TNO (Denier van der Gon et al., 2011, https://atmosphere.copernicus.eu/sites/default/files/2019-07/MACC_TNO_del_1_3_v2.pdf), temporal extrapolation and disaggregation described in COFFEE (Steinbach et al. 2011, https://doi.org/10.5194/acp-11-6855-2011) Koch, F.-T., Gerbig, C., 2023. European anthropogenic CH4 emissions based on EDGARv4.3 and the Statistical Review of World Energy 2024 for 2005-2023. https://doi.org/10.18160/MYWZ-NJRY

Global primary energy consumption has increased dramatically in recent years and is projected to continue to increase until 2045. Only hydropower and renewable energy consumption are expected to increase between 2045 and 2050 and reach 30 percent of the global energy consumption. Energy consumption by country The distribution of energy consumption globally is disproportionately high among some countries. China, the United States, and India were by far the largest consumers of primary energy globally. On a per capita basis, it was Qatar, Singapore, the United Arab Emirates, and Iceland to have the highest per capita energy consumption. Renewable energy consumption Over the last two decades, renewable energy consumption has increased to reach over 90 exajoules in 2023. Among all countries globally, China had the largest installed renewable energy capacity as of that year, followed by the United States.

Global anthropogenic CO2 emissions for 2007 based on EDGARv4.3, fuel type and category specific emissions provided by Greet Janssens-Maenhout (EU-JRC), BP statistics 2016 (http://www.bp.com/content/dam/bp/excel/energy-economics/statistical-review-2016/bp-statistical-review-of-world-energy-2016-workbook.xlsx), temporal variations based on MACC-TNO (https://gmes-atmosphere.eu/documents/deliverables/d-emis/MACC_TNO_del_1_3_v2.pdf), temporal extrapolation and disaggregation described in COFFEE (Steinbach et al. 2011).

China is the largest consumer of primary energy in the world, having used some 170.7 exajoules in 2023. This is a lot more than what the United States consumed, which comes in second place. The majority of primary energy fuels worldwide are still derived from fossil fuels, such as oil and coal. China's energy mix China’s primary energy mix has shifted from a dominant use of coal to an increase in natural gas and renewable sources. Since 2013, the renewables share in total energy consumption has grown by around eight percentage points. Overall, global primary energy consumption has increased over the last decade, and it is expected to experience the largest growth in emerging economies like the BRIC countries - Brazil, Russia, India, and China. What is primary energy? Primary energy is the energy inherent in natural resources such as crude oil, coal, and wind before further transformation. For example, crude oil can be refined into secondary fuels, such as gasoline or diesel, while wind is harnessed for electricity - itself a secondary energy source. A country’s total primary energy supply is a measure of the country’s primary energy sources. Meanwhile, end use energy is the energy directly consumed by the user and includes primary fuels such as natural gas, as well as secondary sources, like electricity and gasoline.

Recommended citation

Gütschow, J.; Busch, D.; Pflüger, M. (2024): The PRIMAP-hist national historical emissions time series v2.6.1 (1750-2023). zenodo. doi:10.5281/zenodo.15016289.

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

Content

• Use of the dataset and full description
• Abstract
• Support
• Sources
• Files included in the dataset
• Notes
• Data format description (columns)
• References
• Changelog

Abstract

The PRIMAP-hist dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas, covering the years 1750 to 2023, and almost all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 2006 categories. For CO2, CH4, and N2O subsector data for Energy, Industrial Processes and Product Use (IPPU), and Agriculture are available. The "country reported data priority" (CR) scenario of the PRIMAP-hist datset prioritizes data that individual countries report to the UNFCCC.

For developed countries, AnnexI in terms of the UNFCCC, this is the data submitted anually in the "National Inventory Submissions". Until 2023 data was submitted in the "Common Reporting Format" (CRF). Since 2024 the new "Common Reporting Tables" (CRT) are used. For developing countries, non-AnnexI in terms of the UNFCCC, we use the "Biannial Transparency Reports" (BTR) which mostly come with data also using the "Common Reporting Tables". We also use older data available through the UNFCCC DI portal (di.unfccc.int) and additional country submissions from "Biannial Update Reports" (BUR), "National Communications" (NC), and "National Inventory Reports" (NIR) read from pdf and where available xls(x) or csv files. For a list of these submissions please see below. For South Korea the 2023 official GHG inventory has not yet been submitted to the UNFCCC but is included in PRIMAP-hist. PRIMAP-hist also includes official data for Taiwan which is not recognized as a party to the UNFCCC. We have mostly replaced the official data that has not been submitted to the UNFCCC used in v2.6 as countries have now submitted their data in CRT format, but had to make some exceptions as the CRT data was not usable for all countries.

Gaps in the country reported data are filled using third party data such as CDIAC, EI (fossil CO2), Andrew cement emissions data (cement), FAOSTAT (agriculture), and EDGAR 2024 (all sectors for CO2, CH4, N2O, HFCs, PFCs, SF6, NF3, except energy CO2). Lower priority data are harmonized to higher priority data in the gap-filling process.

For the third party priority time series gaps in the third party data are filled from country reported data sources.

Data for earlier years which are not available in the above mentioned sources are sourced from EDGAR-HYDE, CEDS, and RCP (N2O only) historical emissions.

The v2.4 release of PRIMAP-hist reduced the time-lag from 2 to 1 years for the October release. Thus the present version 2.6.1 includes data for 2023. For energy CO2 growth rates from the EI Statistical Review of World Energy are used to extend the country reported (CR) or CDIAC (TP) data to 2023. For CO2 from cement production Andrew cement data are used. For other gases and sectors we use EDGAR 2024 data. In a few cases we have to rely on numerical methods to estimate emissions for 2023.

Version 2.6.1 of the PRIMAP-hist dataset does not include emissions from Land Use, Land-Use Change, and Forestry (LULUCF) in the main file. LULUCF data are included in the file with increased number of significant digits and have to be used with care as they are constructed from different sources using different methodologies and are not harmonized.

The PRIMAP-hist v2.6.1 dataset is an updated version of

Gütschow, J.; Pflüger, M.; Busch, D. (2024): The PRIMAP-hist national historical emissions time series v2.6 (1750-2023). zenodo. doi:10.5281/zenodo.13752654.

The Changelog indicates the most important changes. You can also check the issue tracker on github.com/JGuetschow/PRIMAP-hist for additional information on issues found after the release of the dataset. Detailed per country information is available from the detailed changelog which is available on the primap.org website and on zenodo.

Use of the dataset and full description

Before using the dataset, please read this document and the article describing the methodology, especially the section on uncertainties and the section on limitations of the method and use of the dataset.

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

Please notify us (johannes.guetschow@climate-resource.com) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset.

When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using the PRIMAP-hist dataset. See the full citations in the References section further below.

Since version 2.3 we use the data formats developed for the PRIMAP2 climate policy analysis suite: PRIMAP2 on GitHub. The data are published both in the interchange format which consists of a csv file with the data and a yaml file with additional metadata and the native NetCDF based format. For a detailed description of the data format we refer to the PRIMAP2 documentation.

We have also included files with more than three significant digits. These files are mainly aimed at people doing policy analysis using the country reported data scenario (HISTCR). Using the high precision data they can avoid questions on discrepancies with the reported data. The uncertainties of emissions data do not justify the additional significant digits and they might give a false sense of accuracy, so please use this version of the dataset with extra care.

Support

If you encounter possible errors or other things that should be noted, please check our issue tracker at github.com/JGuetschow/PRIMAP-hist and report your findings there. Please use the tag "v2.6.1" in any issue you create regarding this dataset.

If you need support in using the dataset or have any other questions regarding the dataset, please contact johannes.guetschow@climate-resource.com.

Climate Resource makes this data available CC BY 4.0 licence. Free support is limited to simple questions and non-commercial users. We also provide additional data, and data support services to clients wanting more frequent updates, additional metadata or to integrate these datasets into their workflows. Get in touch at contact@climate-resource.com if you are interested.

Sources

• Global CO2 emissions from cement production v250226 data, paper: Andrew
  (2025), Andrew (2019)
• EI Statistical Review of World Energy website: Energy Institute (2024)
• CDIAC data: Hefner and Marland (2023), data: Hefner (2024), paper: Gilfillan and Marland (2021)
• CEDS: data: Hoesly et al. (2020), paper: Hoesly et al. (2018)
• EDGAR 2024: data/website: European Commission, European Commision, JRC (2024), report: European Commission. Joint Research Centre & IEA. (2024)
• EDGAR-HYDE 1.4 data: Van Aardenne et al. (2001), Olivier and Berdowski (2001)
• FAOSTAT database data: Food and Agriculture Organization of the United Nations (2024)
• RCP historical data data, paper: Meinshausen et al. (2011)
• UNFCCC National Communications and National Inventory Reports for developing countries available from the UNFCCC DI portal <a

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

China's daily biofuel production reached 78 thousand barrels of oil equivalent in 2023, an increase by eight thousand barrels of oil equivalent per day in comparison to the year prior. Between 2002 and 2023, production of biofuels in the East Asian country experienced a growth of 75 thousand barrels of oil equivalent per day. As of 2022, China's production corresponded to 3.5 percent of the global biofuel production.

This is an updated version of Gütschow et al. (2017, http://doi.org/10.5880/pik.2017.001). Please use this version which incorporates updates to input data as well as correction of errors in the original dataset and its first update. For a detailed description of the changes please consult the CHANGELOG included in the data description document. This dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas covering the years 1850 to 2015 and all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 1996 categories. For CO2‚‚ from energy and industry time series for subsectors are available. List of datasets included in this data publication:(1) PRIMAP-hist_v1.2_14-Dec-2017.csv: With numerical extrapolation of all time series to 2014. (only in .zip folder)(2) PRIMAP-hist_no_extrapolation_v1.2_14-Dec-2017.csv: Without numerical extrapolation of missing values. (only in .zip folder)(3) PRIMAP-hist_v1.2_data-format-description: including CHANGELOG(4) PRIMAP-hist_v1.2_updated_figures: updated figures of those published in Gütschow et al. (2016)(all files are also included in the .zip folder) When using this dataset or one of its updates, please also cite the data description article (Gütschow et al., 2016, http://doi.org/10.5194/essd-8-571-2016) to which this data are supplement to. Please consider also citing the relevant original sources. SOURCES:- UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2017B)- UNFCCC Biennal Update Reports: UNFCCC (2016)- UNFCCC Common Reporting Format (CRF): UNFCCC (2016), UNFCCC (2017)- BP Statistical Review of World Energy: BP (2017)- CDIAC: Boden et al. (2017)- EDGAR versions 4.2 and 4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012)- FAOSTAT database: Food and Agriculture Organization of the United Nations (2016)- Houghton land use CO2: Houghton (2008)- RCP historical data: Meinshausen et al. (2011)- EDGAR-HYDE 1.4: Van Aardenne et al. (2001), Olivier and Berdowski (2001)- HYDE land cover data: Klein Goldewijk et al. (2010), Klein Goldewijk et al. (2011)- SAGE Global Potential Vegetation Dataset: Ramankutty and Foley (1999)- FAO Country Boundaries: Food and Agriculture Organization of the United Nations (2015) Country resolved data is combined from different sources using the PRIMAP emissions module (Nabel et. al., 2011). It is supplemented with growth rates from regionally resolved sources and numerical extrapolations. Regional deforestation emissions are downscaled to country level using estimates of the deforested area obtained from potential vegetation and calculations for the needed agricultural land.

Recommended citation

Gütschow, J.; Pflüger, M. (2023): The PRIMAP-hist national historical emissions time series v2.4.2 (1750-2021). zenodo. doi:10.5281/zenodo.7727475.

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

Content

• Use of the dataset and full description
• Abstract
• Support
• Sources
• Files included in the dataset
• Notes
• Data format description (columns)
• References
• Changelog

Abstract

The PRIMAP-hist dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas, covering the years 1750 to 2021, and almost all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 2006 categories. For CO₂, CH₄, and N₂O subsector data for Energy, Industrial Processes and Product Use (IPPU), and Agriculture are available. The "country reported data priority" (CR) scenario of the PRIMAP-hist datset prioritizes data that individual countries report to the UNFCCC. For developed countries, AnnexI in terms of the UNFCCC, this is the data submitted anually in the "common reporting format" (CRF). For developing countries, non-AnnexI in terms of the UNFCCC, this is the data available through the UNFCCC DI interface (di.unfccc.int) with additional country submissions read from pdf and where available xls(x) or csv files. For a list of these submissions please see below. For South Korea the 2021 official GHG inventory has not yet been submitted to the UNFCCC but is included in PRIMAP-hist. PRIMAP-hist also includes official data for Taiwan which is not recognized as a party to the UNFCCC.

Gaps in the country reported data are filled using third party data such as CDIAC, BP (fossil CO₂), Andrew cement emissions data (cement), FAOSTAT (agriculture), and EDGAR v7.0 (all sectors). Lower priority data are harmonized to higher priority data in the gap-filling process.

For the third party priority time series gaps in the third party data are filled from country reported data sources.

Data for earlier years which are not available in the above mentioned sources are sourced from EDGAR-HYDE, CEDS, and RCP (N₂O only) historical emissions.

The v2.4 release of PRIMAP-hist reduced the time-lag from 2 to 1 years. Thus we include data for 2021 while the 2.3.1 version included data for 2019 only. For energy CO$_2$ growth rates from the BP statistical review of world energy are used to extend the country reported (CR) or CDIAC (TP) data to 2021. For CO$_2$ from cement production Andrew cement data are used. For other gases and sectors, EDGAR 7.0 is used since PRIMAP-hist v2.4.1 (v2,4 had to rely on numerical methods ).

Version 2.4.2 of the PRIMAP-hist dataset does not include emissions from Land Use, Land-Use Change, and Forestry (LULUCF) in the main file. LULUCF data are included in the file with increased number of significant digits and have to be used with care as they are constructed from different sources using different methodologies and are not harmonized.

The PRIMAP-hist v2.4.2 dataset is an updated version of

Gütschow, J.; Pflüger, M. (2023): The PRIMAP-hist national historical emissions time series v2.4.1 (1750-2021). zenodo. doi:10.5281/zenodo.7585420

The Changelog indicates the most important changes. You can also check the issue tracker on github.com/JGuetschow/PRIMAP-hist for additional information on issues found after the release of the dataset.

Use of the dataset and full description

Before using the dataset, please read this document and the article describing the methodology, especially the section on uncertainties and the section on limitations of the method and use of the dataset.

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

Please notify us (mail@johannes-guetschow.de) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset.

When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using the PRIMAP-hist dataset. See the full citations in the References section further below.

Since version 2.3 we use the data formats developed for the PRIMAP2 climate policy analysis suite: PRIMAP2 on GitHub. The data are published both in the interchange format which consists of a csv file with the data and a yaml file with additional metadata and the native NetCDF based format. For a detailed description of the data format we refer to the PRIMAP2 documentation.

We have also, for the first, time included files with more than three significant digits. These files are mainly aimed at people doing policy analysis using the country reported data scenario (HISTCR). Using the high precision data they can avoid questions on discrepancies with the reported data. The uncertainties of emissions data do not justify the additional significant digits and they might give a false sense of accuracy, so please use this version of the dataset with extra care.

Support

If you encounter possible errors or other things that should be noted, please check our issue tracker at github.com/JGuetschow/PRIMAP-hist and report your findings there. Please use the tag “v2.4.2” in any issue you create regarding this dataset.

If you need support in using the dataset or have any other questions regarding the dataset, please contact mail@johannes-guetschow.de.

Sources

• Global CO$_2$ emissions from cement production v220919 (Andrew 2022)** data, paper: Andrew
  (2022), Andrew (2019b)
• BP Statistical Review of World Energy website: British Petroleum (2022)
• CDIAC data: Boden et al. (2017): Gilfillan et al. (2020), paper Gilfillan and Marland (2021)
• EDGAR versions 4.2 and 4.2 FT2010: EDGAR v4.2, EDGAR v4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012)
• EDGAR version 7.0: data, website, Reports: JRC (2022), JRC (2021)
• EDGAR-HYDE 1.4 data: Van Aardenne et al. (2001), Olivier and Berdowski (2001)
• FAOSTAT database data: Food and Agriculture Organization of the United Nations (2023)
• RCP historical data data, paper: Meinshausen et al. (2011)
• UNFCCC National Communications and National Inventory Reports for developing countries website, slightly updated version of data: UNFCCC (2022c), Pflüger and Gütschow (2022)
• UNFCCC Biennial Update Reports website: UNFCCC (2022b)
• UNFCCC Common Reporting Format (CRF) website, paper, data (23-01-23): UNFCCC (2023a) (processed as described in Jeffery et al. (2018a))
• Official country repositories (non-UNFCCC)
  • Taiwan / Republic of China: website, data:

The Wind Energy Pile market has emerged as a pivotal segment within the renewable energy sector, providing essential support structures for wind turbines across the globe. As the world shifts toward sustainable energy sources, the demand for wind energy has skyrocketed, which in turn has propelled the need for robus

The United Nations Energy Statistics Database (UNSTAT) is a comprehensive collection of international energy and demographic statistics prepared by the United Nations Statistics Division. The 2004 version represents the latest in the series of annual compilations which commenced under the title World Energy Supplies in Selected Years, 1929-1950. Supplementary series of monthly and quarterly data on production of energy may be found in the Monthly Bulletin of Statistics. The database contains comprehensive energy statistics for more than 215 countries or areas for production, trade and intermediate and final consumption (end-use) for primary and secondary conventional, non-conventional and new and renewable sources of energy. Mid-year population estimates are included to enable the computation of per capita data. Annual questionnaires sent to national statistical offices serve as the primary source of information. Supplementary data are also compiled from national, regional and international statistical publications. The Statistics Division prepares estimates where official data are incomplete or inconsistent. The database is updated on a continuous basis as new information and revisions are received. This metadata file represents the population statistics during the expressed time. For more information about the country site codes, click this link to the United Nations "Standard country or area codes for statistical use": https://unstats.un.org/unsd/methodology/m49/overview/

In 2023, hard coal was estimated to account for 80.91 percent of total non-renewable energy resources worldwide, by far the largest share among non-renewable sources. Lignite made up another 7.94 percent share. Resources differ from reserves in that resources include all crude materials (both discovered and estimated), regardless of whether they may be extractable or not.

Die vorliegende Statistik zeigt den Erdgasverbrauch der USA in den Jahren 1965 bis 2014 in Millionen Tonnen Öläquivalent. Der Erdgasverbrauch in den USA im Jahr 1998 belief sich auf rund 575,3 Millionen Tonnen Öläquivalent.Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die Statistik zeigt die Raffineriekapazität für Erdöl in Thailand in den Jahren 1965 bis 2022. Im Jahr 2022 beliefen sich die Raffineriekapazitäten in Thailand auf durchschnittlich rund 1,24 Millionen Barrel Öl pro Tag.Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien. Laut Quelle sind die Kapazitäten für die atmosphärische Destillation auf der Grundlage eines Kalendertags angegeben.

Die vorliegende Statistik zeigt die Erdgasproduktion von Australien in Öläquivalent in den Jahren 1970 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion von Australien auf rund 18,7 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Raffineriekapazität für Erdöl in der Schweiz in den Jahren 1980 bis 2016. Im Jahr 2016 beliefen sich die Raffineriekapazitäten in der Schweiz auf durchschnittlich rund 68.000 Barrel Öl pro Tag.Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien. Laut Quelle sind die Kapazitäten für die atmosphärische Destillation auf der Grundlage eines Kalendertags angegeben.

Die vorliegende Statistik zeigt die Entwicklung des Verbrauchs von Erdöl in Italien in den Jahren 1970 bis 2022 in Millionen Tonnen. Der Verbrauch bezieht sich laut Quelle auf die Inlandsnachfrage, Tanklager für den internationalen Luft- und Schiffsverkehr, Raffineriebrennstoffe und Verluste. Ebenfalls eingeschlossen ist der Verbrauch von Ethanol und Biodiesel. Der Verbrauch von Erdöl in Italien belief sich im Jahr 2022 auf rund 57 Millionen Tonnen.Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Erdgasproduktion der OECD-Staaten in Öläquivalent in den Jahren 1970 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion der OECD-Staaten auf rund 774,4 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Erdgasproduktion der Ukraine in Öläquivalent in den Jahren 1985 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion der Ukraine auf rund 22,9 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Erdgasproduktion von Saudi-Arabien in Öläquivalent in den Jahren 1970 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion von Saudi-Arabien auf rund 30,2 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.